Remnant clinical anterior nares specimens from standard-of-care surveillance screening
The clinical performance of the BD Kiestra MRSA App was evaluated using remnant clinical specimens collected during routine surveillance. The study compared the App's automated interpretation of digital images against the interpretation of the same digital images by trained microbiologists.
Remnant specimens; Standard of care; Clinical performance evaluation
Clinical Evidence
Study Design
Population
Comparator
Key Endpoints
Clinical performance of the BD Kiestra MRSA App; Retrospective evaluation of remnant clinical specimens
Anterior nares specimens from surveillance screening; Sample Size: 1593 evaluable images; Number of Sites: 3 (2 US and 1 outside US)
Microbiologist interpretation of digital images
Agreement between BD Kiestra MRSA App and microbiologist interpretation for 'no growth', 'non-mauve growth', and 'mauve growth'
Indications for Use
The BD Kiestra™ Methicillin-resistant Staphylococcus aureus (MRSA) Application is an in-vitro diagnostic software program that requires the BD Kiestra™ Laboratory Automation Solution in order to operate. The BD Kiestra™ Methicillin-resistant Staphylococcus aureus (MRSA) Application is applied to digital images of BD BBL™ CHROMagar™ MRSA II culture plates inoculated with anterior nares samples. Algorithms are applied to digital images to provide a qualitative assessment of colony growth and colorimetric detection of target colonies to screen for nasal colonization by MRSA, and to serve as an aid in the prevention and control of MRSA infection. Applied algorithms provide the following results: - "No growth", which will be manually released individually or as a batch (with other no growth samples) by a trained microbiologist upon review of the digital plate images. - "Growth - other" (growth without mauve color), which digital plate images will be manually reviewed by a trained microbiologist. - "Growth MRSA Mauve" (growth with mauve color), which digital plate images will be manually reviewed by a trained microbiologist. The assay is not intended to guide, diagnose, or monitor treatment for MRSA infections. It is not intended to provide results of susceptibility to oxacillin/methicillin. The BD Kiestra™ Methicillin-resistant Staphylococcus aureus (MRSA) Application is indicated for use in the clinical laboratory.
Device Story
Software application for BD Kiestra Laboratory Automation Solution; analyzes digital images of BD BBL CHROMagar MRSA II plates inoculated with anterior nares specimens. System uses BD Kiestra ReadA/ReadA Compact with LED illumination and CMOS camera to capture time-series images (initial, intermediate, final). Algorithm evaluates colony growth and color (mauve vs. non-mauve); classifies as 'No growth', 'Growth - other', or 'Growth MRSA Mauve'. Results displayed via BD Synapsys informatics solution for manual review by microbiologist. Provides qualitative screening aid for MRSA infection control; does not diagnose or monitor treatment.
Clinical Evidence
Clinical study evaluated 1593 remnant anterior nares specimens across three sites. Performance compared BD Kiestra MRSA App results against microbiologist interpretation of digital images. Agreement: 75.6% (no growth), 84.5% (non-mauve growth), 98.2% (mauve growth). Additional bench testing included reproducibility (panel of 7 strains, 90 images/dilution) and digital image quality (200 contrived samples, 3 microbiologists). Results deemed acceptable as all digital images require manual review.
Technological Characteristics
Software-based image analysis system. Uses BD Kiestra ReadA/ReadA Compact imaging station with LED illumination and high-speed CMOS image sensor. Operates on BD Kiestra Laboratory Automation Solution. Connectivity via BD Synapsys informatics solution. Calibration via BD-provided calibration plates. Software performs qualitative assessment of colony growth and colorimetric detection on BD BBL CHROMagar MRSA II plates.
Indications for Use
Indicated for use in clinical laboratories to screen for nasal colonization by MRSA in patients using anterior nares samples. Not intended to guide, diagnose, or monitor treatment for MRSA infections or provide susceptibility results.
Regulatory Classification
Identification
An automated image assessment system for microbial colonies on solid culture media is a system that is intended to assess the presence or absence of microbial colonies on solid microbiological culture medium, and to interpret their number, and phenotypic and morphologic characteristics through analysis of two dimensional digital images as an aid in diagnosis of infectious disease.
Special Controls
*Classification.* Class II (special controls). The special controls for this device are:(1) Premarket notification submissions must include a detailed description of the device, including the technology employed, components and software modules, as well as a detailed explanation of the result algorithms and any expert rules that are used to assess colony characteristics and enumerate colonies from image capture through end result.
(2) Premarket notification submissions must include detailed documentation of the analytical studies performed to characterize device performance to support the intended use, as appropriate.
(3) Premarket notification submissions must include detailed documentation from clinical studies performed on a population that is consistent with the intended use population.
(i) The clinical studies must establish the device performance based on comparison to results obtained by an acceptable reference method, as appropriate.
(ii) The clinical study documentation must include the study protocol with a predefined statistical analysis plan and the final report documenting support for the Indications for Use and the results of the statistical analysis, as appropriate.
(4) Premarket notification submissions must include detailed documentation for device software, including but not limited to software applications and hardware based components that incorporate software, and any decision-making thresholds used to generate results for the device. If a part of a Total Laboratory Automation System, the premarket notification submission must include detailed documentation addressing the instrument and software system integration.
(5) Premarket notification submissions must include detailed documentation of appropriate instructions for use regarding the intended user's device quality control procedures for the instrument system and components, as appropriate.
(6) The 21 CFR 809.10 compliant device labeling must include:
(i) Detailed user instructions to mitigate the risk of failure to operate the instrument correctly.
(ii) A detailed explanation of the interpretation of results and limitations regarding the need for review of culture plates by a qualified microbiologist, as appropriate.
(iii) A summary of performance data obtained from the analytical studies used to support device performance, as appropriate.
(iv) A summary of performance data obtained from clinical studies performed on a population that is consistent with the intended use population, as appropriate.
(7) Under 21 CFR 820.10(c) design and development, device manufacturers must, as appropriate:
(i) Conduct human factors/usability validation testing with the final version of the labeling and related materials to adequately mitigate the risk of failure to operate the instrument correctly.
(ii) Document a device training program that will be offered to the end user to adequately mitigate the risk of failure to operate the instrument correctly.
Predicate Devices
APAS Independence with IC Chromogenic MRSA BD Analysis Module (K200839)
APAS Independence with IC Chromogenic MRSA TFS/S Analysis Module (K200839)
Submission Summary (Full Text)
{0}
FDA U.S. FOOD & DRUG ADMINISTRATION
# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY
ASSAY ONLY
## I Background Information:
A 510(k) Number
K213280
B Applicant
BD Kiestra B.V.
C Proprietary and Established Names
BD Kiestra Methicillin-resistant Staphylococcus aureus (MRSA) Application, BD Kiestra MRSA App
D Regulatory Information
| Product Code(s) | Classification | Regulation Section | Panel |
| --- | --- | --- | --- |
| QQY | Class II | 21 CFR 866.2190 - Automated Image Assessment System For Microbial Colonies On Solid Culture Media | MI - Microbiology |
## II Submission/Device Overview:
A Purpose for Submission:
To obtain a substantial equivalence determination for the BD Kiestra Methicillin-resistant Staphylococcus aureus (MRSA) Application (BD Kiestra MRSA App)
B Measurand:
Digital images of colonies cultured on BD BBL CHROMagar MRSA II culture plates to determine presence or absence of methicillin-resistant Staphylococcus aureus (MRSA)
C Type of Test:
The BD Kiestra MRSA Application is an in vitro diagnostic software program that provides a qualitative assessment of microbial growth on BD BBL CHROMagar MRSA II culture plates inoculated with anterior specimens to aid in the prevention and control of MRSA infection.
## III Intended Use/Indications for Use:
A Intended Use(s):
See Indications for Use below.
Food and Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993-0002
www.fda.gov
{1}
K213280 - Page 2 of 13
# B Indication(s) for Use:
The BD Kiestra Methicillin-resistant Staphylococcus aureus (MRSA) Application is an in-vitro diagnostic software program that requires the BD Kiestra Laboratory Automation Solution in order to operate.
The BD Kiestra Methicillin-resistant Staphylococcus aureus (MRSA) Application is applied to digital images of BD BBL CHROMagar MRSA II culture plates inoculated with anterior nares samples.
Algorithms are applied to digital images to provide a qualitative assessment of colony growth and colorimetric detection of target colonies to screen for nasal colonization by MRSA, and to serve as an aid in the prevention and control of MRSA infection. Applied algorithms provide the following results:
- "No growth", which will be manually released individually or as a batch (with other no growth samples) by a trained microbiologist upon review of the digital plate images.
- "Growth - other" (growth without mauve color), which digital plate images will be manually reviewed by a trained microbiologist.
- "Growth MRSA Mauve" (growth with mauve color), which digital plate images will be manually reviewed by a trained microbiologist.
The assay is not intended to guide, diagnose, or monitor treatment for MRSA infections. It is not intended to provide results of susceptibility to oxacillin/methicillin.
The BD Kiestra Methicillin-resistant Staphylococcus aureus (MRSA) Application is indicated for use in the clinical laboratory.
# C Special Conditions for Use Statement(s):
Rx - For Prescription Use Only
# D Special Instrument Requirements:
BD Kiestra ReadA or BD Kiestra ReadA Compact which is part of the BD Kiestra Laboratory Automation Solution
# IV Device/System Characteristics:
# A Device Description:
The BD Kiestra Methicillin-resistant Staphylococcus aureus (MRSA) Application (herein referred to as the BD MRSA App) is an optional in vitro diagnostic software application for the BD Kiestra Laboratory Automation Solution (described for the BD Kiestra IdentifA, K191964). The BD MRSA App analyzes images of BD BBL CHROMagar MRSA II plates inoculated with anterior nares swab specimens from patients to screen for MRSA colonization. Images are generated with the BD Kiestra ReadA or the BD Kiestra ReadA Compact using BD Kiestra Optis technology. The BD MRSA App provides a qualitative assessment of colony growth and color as it pertains to MRSA growth as: no growth, growth without mauve color, or growth with mauve color.
{2}
K213280 - Page 3 of 13
B Principle of Operation:
Anterior nares specimens are inoculated manually or automatically by the BD Kiestra InoqulA+ or BD Kiestra InoqulA, which is part of the BD Kiestra Laboratory Automation Solution, onto BD BBL CHROMagar MRSA II plates. Plates are then transferred to the BD Kiestra ReadA or the BD Kiestra ReadA Compact for incubation at 35°C and image acquisition by the onboard camera at specific timepoints. Each plate is imaged at least three times to provide a time series for the algorithm to evaluate: an initial image to evaluate the appearance of the plate prior to the presence of observable bacterial growth, an intermediate image halfway through the incubation cycle, and a final image taken at the end of the evaluation time. The algorithm determines what has grown on the plate between the first and final image. The final interpretation of all digital images, regardless of the BD MRSA App interpretation, will be made by the microbiologist.
The system uses three different light sources (top, bottom and side) and has two different backgrounds (black and white). At the timepoint the plate is imaged, multiple acquisitions are done by the camera with each light source and background to get an optimal image and to enhance the signal to noise ratio. The ReadA instrument creates a single high contrast image from the multiple acquisitions. The same image is used for both the BD MRSA App and the digital image displayed for user review.
V Substantial Equivalence Information:
A Predicate Device Name(s):
APAS Independence with IC Chromogenic MRSA BD Analysis Module; APAS Independence with IC Chromogenic MRSA TFS/S Analysis Module
B Predicate 510(k) Number(s):
K200839
C Comparison with Predicate(s):
| Device & Predicate Device(s): | Device: K213280 | Predicate: K200839 |
| --- | --- | --- |
| Device Trade Name | BD Kiestra MRSA Application | APAS Independence with IC Chromogenic MRSA BD Analysis Module; APAS Independence with IC Chromogenic MRSA TFS/S Analysis Module |
| General Device Characteristic Similarities | | |
| Intended Use/Indications For Use | The BD Kiestra Methicillin-resistant Staphylococcus aureus (MRSA) Application is an in-vitro diagnostic software program that requires the BD Kiestra Laboratory Automation Solution in order to operate. The BD Kiestra Methicillin-resistant Staphylococcus aureus (MRSA) Application is applied to digital images of BD BBL CHROMagar MRSA II culture plates inoculated with anterior nares samples. Algorithms are applied to digital images | The APAS Independence is an in vitro diagnostic system comprised of an instrument and software analysis module(s) for specific indications that are used to automate imaging and interpretation of microbial colonies on plates of solid culture media. The APAS Independence is an in vitro diagnostic system comprised of an instrument for automated imaging of agar culture plates and a software analysis module for the following use: |
{3}
K213280 - Page 4 of 13
| Device & Predicate Device(s): | Device: K213280 | Predicate: K200839 |
| --- | --- | --- |
| | to provide a qualitative assessment of colony growth and colorimetric detection of target colonies to screen for nasal colonization by MRSA and to serve as an aid in the prevention and control of MRSA infection. Applied algorithms provide the following results:
• “No growth”, which will be manually released individually or as a batch (with other no growth samples) by a trained microbiologist upon review of the digital plate images.
• “Growth – other” (growth without mauve color), which digital plate images will be manually reviewed by a trained microbiologist.
• “Growth MRSA Mauve” (growth with mauve color), which digital plate images will be manually reviewed by a trained microbiologist.
The assay is not intended to guide, diagnose, or monitor treatment for MRSA infections. It is not intended to provide results of susceptibility to oxacillin/methicillin.
The BD Kiestra Methicillin-resistant Staphylococcus aureus (MRSA) Application is indicated for use in the clinical laboratory. | 1. The APAS Independence, when using its IC MRSA Chromogenic BD analysis module, automates culture plate imaging and interpretation to detect the presence or absence of colonies with colors suggestive of methicillin-resistant Staphylococcus aureus (MRSA) growth on Beckton Dickson BBL CHROMagar MRSA II agar that has been inoculated with anterior nares swabs and incubated at 36°C ± 1°C for 24 hours. The APAS Independence, when using its IC MRSA Chromogenic BD analysis module, provides an aid in routine screening for colonization with MRSA. It provides one of two screening results: Presumptive MRSA or Negative. All culture plates that are identified as Presumptive MRSA by the APAS Independence, when using the IC MRSA Chromogenic BD analysis module require review by a trained microbiologist. 2. The APAS Independence, when using its IC MRSA Chromogenic TFS/S analysis module, automates culture plate imaging and interpretation to detect the presence or absence of colonies with colors suggestive of methicillin-resistant Staphylococcus aureus (MRSA) growth on Thermo-Fisher Spectra MRSA agar that has been inoculated with anterior nares swabs and incubated at 36°C ± 1°C for 24 hours. The APAS Independence, when using its IC MRSA Chromogenic TFS/S analysis module, provides an aid in routine screening for colonization with MRSA. It provides one of three screening results: Presumptive MRSA, Presumptive non-MRSA, or Negative. All culture plates that are identified as Presumptive MRSA or Presumptive non-MRSA by the APAS Independence, when using the IC MRSA Chromogenic TFS/S analysis module, require review by a trained microbiologist. |
| Imaging Station | BD Kiestra ReadA and the BD Kiestra ReadA Compact are equipped with the imaging station using Light Emitting Diode (LED) illumination of plated media and image capture using High Speed CMOS Image Sensor camera | Light Emitting Diode (LED) illumination of culture plates and image capture using a Charged Coupled Device (CCD) camera |
{4}
| Device & Predicate Device(s): | Device: K213280 | Predicate: K200839 |
| --- | --- | --- |
| Controller PC | BD Kiestra ReadA and the BD Kiestra ReadA Compact, has its own controller PC that controls the image capturing and images storing | Control image capture, analysis, report generation and result storage |
| Analysis Module | The Plate Image Analyzer and Plate Algorithm libraries run on a server to process the images and meta data for analysis. These results are sent to BD Synapsys informatics solution which is installed on the BD Kiestra Solution to provide user configuration of image visualization and user configurable workflow rules for imaging result interpretation. | Installed on the APAS Controller PC to provide the configuration and instructions for image capture and analysis |
| Calibration | Occasional calibration of the camera when alerted to do so and after cleaning. Calibration is performed with BD provided calibration plates. | Performed daily using a manufacturer-provided Color Check Tool |
| Biological Quality Control | Performed per BD BBL CHROMagar MRSA II media package insert instructions. | Performed daily using standardized suspensions of *Staphylococcus aureus* ATCC 43300 (MRSA positive strain) |
| Plate Handling | Automatic | Automatic |
| General Device Characteristic Differences | | |
| Instrumentation | BD Kiestra ReadA or BD Kiestra ReadA Compact which are part of the BD Kiestra Laboratory Automation Solution | APAS Independence |
| Instrument Controller PC | Provides the user interface for the BD MRSA App powered by BD Synapsys informatics solution | Provides the user interface for the APAS Independence and controls plate movement |
| Laboratory Information System (LIS) Data import | Data import through BD Synapsys informatics solution | Analysis result for each plate sent to the LIS. Sample ID details retrieved from the LIS |
| Result Reporting | Results are sent to LIS by BD Synapsys informatics solution after being manually reviewed and released individually or as a batch by a trained microbiologist upon review of the digital plate images. | Consists of software for image analysis and presentation of reports. APAS-generated result is sent to the LIS, after review by a trained microbiologist, when applicable. |
VI Standards/Guidance Documents Referenced:
- ISO 14971: 2019, Medical devices - Application of risk management to medical devices
- IEC 62304:2006/AC 2008, Medical device software – software life-cycle processes
- IEC 62304:2006/A1 2016, Medical device software – software life-cycle processes
- General Principles of Software Validation; Final Guidance for Industry and FDA Staff, January 11, 2002
- Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices, May 11, 2005
K213280 - Page 5 of 13
{5}
- Off-The-Shelf Software Use in Medical Devices, Guidance for Industry and Food and Drug Administration Staff; September 27, 2019
- Content of Premarket Submissions for Management of Cybersecurity in Medical Devices, Guidance for Industry and Food and Drug Administration Staff; October 2, 2014
- Postmarket Management of Cybersecurity in Medical Devices, Guidance for Industry and Food and Drug Administration Staff; December 28, 2016
- Guidance on Informed Consent for In Vitro Diagnostic Device Studies Using Leftover Human Specimens that are Not Individually Identifiable, Guidance for Sponsors, Institutional Review Boards, and Food and Drug Administration Staff; April 25, 2006
## VII Performance Characteristics (if/when applicable):
### A Analytical Performance:
The organisms listed in Table 1 were used to evaluate the analytical performance of the BD MRSA App.
Table 1. Organisms tested in analytical studies
| Organism Name (Source) | Code* | Interpretation (identifier) | Study Evaluated |
| --- | --- | --- | --- |
| Staphylococcus aureus (clinical stock) | POS 10575 | MRSA (mauve growth) | Reproducibility |
| Staphylococcus aureus (ATCC 43300) | POS 3890 | MRSA (mauve growth) | Reproducibility, Limit of Detection |
| Staphylococcus aureus (clinical stock) | POS 8161 | MRSA (mauve growth) | Reproducibility |
| Staphylococcus aureus (clinical stock) | POS 8214 | MRSA (mauve growth) | Reproducibility |
| Staphylococcus aureus (clinical stock) | POS 9246 | MRSA (mauve growth) | Reproducibility |
| Staphylococcus aureus (ATCC 33591) | | MRSA (mauve growth) | Limit of Detection |
| Staphylococcus aureus (clinical stock) | POS 3679 | MRSA (mauve growth) | Limit of Detection |
| Staphylococcus haemolyticus (clinical stock) | POS 3441 | Non-MRSA (non-mauve growth) | Reproducibility |
| Staphylococcus haemolyticus (clinical stock) | POS 8113 | Non-MRSA (non-mauve growth) | Reproducibility |
* Internal codes used for the purpose of tracking during the studies.
## 1. Precision/Reproducibility:
### Reproducibility
The reproducibility of the BD MRSA App within runs, between runs, and between instruments was evaluated at two internal sites. A panel of seven simulated clinical nares samples, comprised of 5 MRSA strains and 2 non-MRSA strains (Table 1), were streaked in triplicate on BD BBL CHROMagar MRSA II plates at three dilutions (10², 10³, 1-5 x10⁴
K213280 - Page 6 of 13
{6}
CFU/mL), as well as a saline control, using the InoqulA+ inoculation method. Plates were incubated at $35 \pm 2^{\circ}\mathrm{C}$ , then imaged and analyzed in 5 replicates after 22 hours using the BD Kiestra ReadA Compact 5MP camera, per the instructions for use, on 3 days (2 sites x 3 replicates x 5 images x 3 days = 90 images/dilution). Data in which the expected result was not obtained after manual review were excluded from analysis.
The results of the reproducibility study are summarized in Table 2. The BD MRSA app was able to detect all plates with MRSA growth but was unable to detect growth for one replicate of a non-MRSA strain (code 3441). This is acceptable since all digital images are reviewed by a microbiologist and there is a low risk associated with not detecting a non-MRSA strain. Overall, reproducibility was determined to be acceptable.
Table 2. Reproducibility of the BD MRSA App
| Organism (Code) | Dilution | Percent Agreement (%) | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | | Instrument 1 | | Instrument 2 | | Combined | |
| | | Growth | Color | Growth | Color | Growth [95% CI] | Color [95% CI] |
| Saline | - | 1029/1033 (99.6) | 1029/1033 (99.6) | 1053/1056 (99.7) | 1053/1056 (99.7) | 2082/2089 (99.7) [99.3-99.8] | 2082/2089 (99.7) [99.3-99.8] |
| MRSA (10575) | 10^2 | 55/55 (100) | 55/55 (100) | 40/40 (100) | 40/40 (100) | 95/95 (100) [96.1-100] | 95/95 (100) [96.1-100] |
| | 10^3 | 45/45 (100) | 45/45 (100) | 45/45 (100) | 45/45 (100) | 90/90 (100) [95.9-100] | 90/90 (100) [95.9-100] |
| | 10^4 | 75/75 (100) | 75/75 (100) | 73/73 (100) | 73/73 (100) | 148/148 (100) [97.5-100] | 148/148 (100) [97.5-100] |
| MRSA (3890) | 10^2 | 35/35 (100) | 35/35 (100) | 45/45 (100) | 45/45 (100) | 80/80 (100) [95.4-100] | 80/80 (100) [95.4-100] |
| | 10^3 | 59/59 (100) | 59/59 (100) | 60/60 (100) | 60/60 (100) | 119/119 (100) [96.9-100] | 119/119 (100) [96.9-100] |
| | 10^4 | 60/60 (100) | 60/60 (100) | 55/55 (100) | 55/55 (100) | 115/115 (100) [96.8-100] | 115/115 (100) [96.8-100] |
| MRSA (8161) | 10^2 | 60/60 (100) | 60/60 (100) | 59/59 (100) | 59/59 (100) | 119/119 (100) [96.9-100] | 119/119 (100) [96.9-100] |
| | 10^3 | 45/45 (100) | 45/45 (100) | 45/45 (100) | 45/45 (100) | 90/90 (100) [95.9-100] | 90/90 (100) [95.9-100] |
| | 10^4 | 75/75 (100) | 75/75 (100) | 90/90 (100) | 90/90 (100) | 165/165 (100) [97.7-100] | 165/165 (100) [97.7-100] |
| MRSA (8214) | 10^2 | 50/50 (100) | 50/50 (100) | 35/35 (100) | 35/35 (100) | 85/85 (100) [95.7-100] | 85/85 (100) [95.7-100] |
| | 10^3 | 59/59 (100) | 59/59 (100) | 59/59 (100) | 59/59 (100) | 118/118 (100) [96.8-100] | 118/118 (100) [96.8-100] |
| | 10^4 | 45/45 (100) | 45/45 (100) | 45/45 (100) | 45/45 (100) | 90/90 (100) [95.9-100] | 90/90 (100) [95.9-100] |
| MRSA (9246) | 10^2 | 40/40 (100) | 40/40 (100) | 45/45 (100) | 45/45 (100) | 85/85 (100) [95.7-100] | 85/85 (100) [95.7-100] |
| | 10^3 | 45/45 (100) | 45/45 (100) | 45/45 (100) | 45/45 (100) | 90/90 (100) [95.9-100] | 90/90 (100) [95.9-100] |
| | 10^4 | 45/45 (100) | 45/45 (100) | 45/45 (100) | 45/45 (100) | 90/90 (100) [95.9-100] | 90/90 (100) [95.9-100] |
| Non-MRSA (3441) | 10^2 | 25/25 (100) | 25/25 (100) | 30/30 (100) | 30/30 (100) | 55/55 (100) [93.5-100] | 55/55 (100) [93.5-100] |
| | 10^3 | 40/45 (88.9) | 40/45 (88.9) | 45/45 (100) | 45/45 (100) | 85/90 (94.4) [87.6-97.6] | 85/90 (94.4) [87.6-97.6] |
| | 10^4 | 45/45 (100) | 45/45 (100) | 45/45 (100) | 45/45 (100) | 90/90 (100) [95.9-100] | 90/90 (100) [95.9-100] |
K213280 - Page 7 of 13
{7}
| Organism (Code) | Dilution | Percent Agreement (%) | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | | Instrument 1 | | Instrument 2 | | Combined | |
| | | Growth | Color | Growth | Color | Growth [95% CI] | Color [95% CI] |
| Non-MRSA (8113) | 10^2 | 40/40 (100) | 40/40 (100) | 40/40 (100) | 40/40 (100) | 80/80 (100) [95.4-100] | 80/80 (100) [95.4-100] |
| | 10^3 | 45/45 (100) | 45/45 (100) | 45/45 (100) | 45/45 (100) | 90/90 (100) [95.9-100] | 90/90 (100) [95.9-100] |
| | 10^4 | 45/45 (100) | 45/45 (100) | 45/45 (100) | 45/45 (100) | 90/90 (100) [95.9-100] | 90/90 (100) [95.9-100] |
## Digital Image Quality
A Digital Image Quality study was performed to evaluate the accuracy of microbiologists' interpretation of a digital image generated by the BD MRSA App (i.e., technologist examining the digital image on the computer screen; "digital image read") compared to the interpretation of the same agar plate manually (i.e., technologist examining the physical plate; "manual plate read"). Two hundred contrived samples (described below) were prepared from 25 unique isolates for evaluation. Contrived samples were diluted at $10^{2} - 10^{3}$ CFU/mL, $10^{3} - 10^{4}$ CFU/mL, $10^{4} - 10^{5}$ CFU/mL, $>10^{5}$ CFU/mL and inoculated onto BD BBL CHROMagar MRSA II agar plates using the InoqulA+ inoculation method. A panel of three microbiologists blindly interpreted all agar plates and the corresponding digital images.
A total of 85 expected "mauve" samples were prepared (61 pure cultures of MRSA strains, 3 mixed cultures with two different MRSA strains, and 21 mixed cultures of MRSA and non-MRSA strains). A total of 115 expected "no growth" or expected "non-mauve growth" samples were prepared (82 pure cultures of non-MRSA strains, 18 mixed cultures of non-MRSA strains, and 15 saline samples). Non-MRSA strains were organisms that were either expected to grow as non-mauve colonies ("non-mauve growth") or expected to have growth inhibited ("no growth") on the CHROMagar plates. The non-MRSA strains included isolates from the following species: Escherichia coli, Klebsiella pneumoniae, Staphylococcus aureus, Staphylococcus epidermidis, Staphylococcus haemolyticus, Staphylococcus lugdunensis, Staphylococcus pettenkoferi, and Staphylococcus saprophyticus.
The data generated in this study were analyzed in two different ways: microbiologists digital image read compared to the manual plate read (Table 3 – Table 6) and reproducibility of microbiologists' interpretation of a digital image read (Table 7).
a) Microbiologists digital image read compared to manual plate read
The purpose of this study was to assess whether a microbiologist's digital image read is equivalent to their manual plate read. A summary of the combined results is provided in Table 3 as well as stratified by each microbiologist in Table 4, Table 5 and Table 6. Results in which the microbiologist's digital image read and manual plate read were inconsistent with the expected result were excluded from analysis as they were considered a technical error.
Table 3. Digital Image Quality: Digital Image Read vs Manual Plate Read (combined)
| | No. of Results | Percent Agreement1 | | |
| --- | --- | --- | --- | --- |
| | | No Growth | Non-Mauve Growth | Mauve Growth |
| Microbiologist 1 | 174 | 48/51 (94.1%) | 56/58 (96.6%) | 64/65 (98.5%) |
| Microbiologist 2 | 172 | 49/55 (89.1%) | 58/59 (98.3%) | 61/62 (98.4%) |
K213280 - Page 8 of 13
{8}
| | No. of Results | Percent Agreement1 | | |
| --- | --- | --- | --- | --- |
| | | No Growth | Non-Mauve Growth | Mauve Growth |
| Microbiologist 3 | 175 | 51/53 (96.2%) | 58/59 (98.3%) | 63/63 (100%) |
| Combined | 521 | 148/159 (93.1%) | 169/172 (98.3%) | 188/190 (98.9%) |
1Percent agreement determined by dividing number of digital image read results by the number of manual plate read results from the same microbiologist for each designation (i.e., "no growth", "non-mauve growth", "mauve growth").
Table 4. Digital Image Quality - Microbiologist 1: Digital Image Read vs Manual Plate Read
| Microbiologist 1 | Manual Plate | | | | |
| --- | --- | --- | --- | --- | --- |
| | | No Growth | Non-Mauve Growth | Mauve Growth | Total |
| Digital Image | No Growth | 48 | 2 | 0 | 50 |
| | Non-Mauve Growth | 3 | 56 | 1 | 60 |
| | Mauve Growth | 0 | 0 | 64 | 64 |
| | Total | 51 | 58 | 65 | 174 |
| | No Growth Agreement: 48/51 (94.1%) Non-Mauve Agreement: 56/58 (96.6%) Mauve Agreement: 64/65 (98.5%) | | | | |
Table 5. Digital Image Quality - Microbiologist 2: Digital Image Read vs Manual Plate Read
| Microbiologist 2 | Manual Plate | | | | |
| --- | --- | --- | --- | --- | --- |
| | | No Growth | Non-Mauve Growth | Mauve Growth | Total |
| Digital Image | No Growth | 49 | 0 | 1 | 50 |
| | Non-Mauve Growth | 4 | 55 | 0 | 59 |
| | Mauve Growth | 2 | 0 | 61 | 63 |
| | Total | 55 | 55 | 62 | 172 |
| | No Growth Agreement: 49/55 (89.1%) Non-Mauve Agreement: 55/55 (100%) Mauve Agreement: 61/62 (98.4%) | | | | |
Table 6. Digital Image Quality - Microbiologist 3: Digital Image Read vs Manual Plate Read
| Microbiologist 3 | Manual Plate | | | | |
| --- | --- | --- | --- | --- | --- |
| | | No Growth | Non-Mauve Growth | Mauve Growth | Total |
| Digital Image | No Growth | 51 | 0 | 0 | 51 |
| | Non-Mauve Growth | 1 | 58 | 0 | 59 |
| | Mauve Growth | 1 | 1 | 63 | 65 |
| | Total | 53 | 59 | 63 | 175 |
| | No Growth Agreement: 51/53 (96.2%) Non-Mauve Agreement: 58/59 (98.3%) Mauve Agreement: 63/63 (100%) | | | | |
The digital image quality study determined that an BD MRSA App-generated digital image can be equivalently interpreted by a microbiologist compared to reading the plate manually. This was achieved $>98\%$ of the time for both the non-mauve growth and mauve growth designations, which is acceptable. Although agreement for the no growth designation was $< 95\%$ , this is considered acceptable since the BD MRSA App is designed to maximize sensitivity which may result in over-calling of growth.
K213280 - Page 9 of 13
{9}
b) Reproducibility of the BD MRSA App-generated digital image interpretation The data obtained from the digital image quality study was further analyzed to evaluate the ability of an BD MRSA App-generated digital image to be reproducibly interpreted by a panel of microbiologists. Here, each microbiologist's interpretation of a digital image was compared to the final panel interpretation of the digital image (i.e., majority result). The study determined that a digital image generated with the BD MRSA App can be reproducibly interpreted by a microbiologist. This was achieved $>98\%$ of the time for each of the three result designations (summarized in Table 7), which is acceptable.
Table 7. Digital Image Reproducibility Summary
| | No. of Results1 | Percent Agreement2 | | |
| --- | --- | --- | --- | --- |
| | | No Growth | Non-Mauve Growth | Mauve Growth |
| Microbiologist 1 | 173 | 50/51 (98.0%) | 58/58 (100%) | 63/64 (98.4%) |
| Microbiologist 2 | 171 | 49/51 (96.1%) | 58/58 (100%) | 61/62 (98.4%) |
| Microbiologist 3 | 174 | 51/51 (100%) | 59/59 (100%) | 64/64 (100%) |
| Combined | 518 | 150/153 (98.0%) | 175/175 (100%) | 188/190 (98.9%) |
Three results were excluded from the reproducibility analysis since results from at least one microbiologist was determined to be invalid.
Percent agreement determined by dividing number of individual microbiologist digital image read results by the number of microbiologist panel digital image read results for each designation (i.e., "no growth", "non-mauve growth", "mauve growth").
Camera (5MP vs 25MP) and Inoculation (InoqulA+ automated vs manual) Equivalency An equivalency study was performed to determine whether: (1) the InoqulA+ automated and manual streaking methods can be equivalently interpreted by the BD Kiestra MRSA App and (2) the BD Kiestra ReadA Compact camera subsystems (5MP and 25MP) can generate equivalent images for evaluation by the BD Kiestra MRSA App. A total of 399 samples, including 200 clinical anterior nares specimens and 199 seeded samples prepared in saline (71 MRSA, 28 non-MRSA, 100 uninoculated), were inoculated onto BD BBL CHROMagar MRSA II media plates, in nine replicates, for multiple variable evaluations (i.e., 5MP camera vs 25MP camera; automated (InoqulA+) vs manual $10~\mu \mathrm{L}$ vs manual $30~\mu \mathrm{L}$ inoculation. Since plate incubation, imaging and processing are done in one instrument, a single plate cannot be imaged by both a 5MP and a 25MP camera. Therefore, two plates were prepared from the same seeded sample for imagining of the plate in incubators with either camera. Images were acquired at 2, 12 and 24 hours using the 5MP or 25MP camera. A total of $\sim 3600$ images were analyzed by the BD Kiestra MRSA App (399 samples x 9 replicates = 3591 total images/timepoint).
The equivalency data are summarized in Table 8 for growth and Table 9 for color, each stratified by sample type (clinical, saline, seeded). Agreement was determined by comparing the MRSA App generated result with a microbiologist interpretation of the digital image. Although variation among inoculation methods and camera subsystems was observed, each variable was determined to be acceptable since MRSA App detection of mauve color was $>95\%$ for each variable and all digital images are reviewed by a microbiologist.
K213280 - Page 10 of 13
{10}
Table 8. Camera and Inoculation Equivalency – Growth Agreement
| Camera | Inoculation Method | Growth Agreement (%)1 | | | |
| --- | --- | --- | --- | --- | --- |
| | | Clinical | Saline | Seeded MRSA | Seeded non-MRSA |
| 5MP | InoqulA+ | 197/201 (98.0) | 92/100 (92.0) | 70/71 (98.6) | 25/28 (89.3) |
| 5MP | 10ul manual loop | 191/201 (95.0) | 89/100 (89.0) | 68/71 (95.8) | 27/28 (96.4) |
| 5MP | 30 ul pipet | 190/201 (94.5) | 98/100 (98.0) | 70/71 (98.6) | 28/28 (100) |
| 25MP | InoqulA+ | 191/201 (95.0) | 95/100 (95.0) | 69/71 (97.2) | 27/28 (96.4) |
| 25MP | 10ul manual loop | 191/201 (95.0) | 99/100 (99.0) | 70/71 (98.6) | 28/28 (100) |
| 25MP | 30 ul pipet | 188/201 (93.5) | 94/100 (94.0) | 70/71 (98.6) | 27/28 (96.4) |
1Percent growth agreement between the BD MRSA App result and digital image read.
Table 9. Camera and Inoculation Equivalency – Color Agreement
| Camera | Inoculation Method | Color Agreement (%)1 | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | Clinical Samples | | | | Seeded Samples | | |
| | | Mauve | Non-Mauve | No Growth | Clinical (combined) | No Growth (Saline) | Mauve (MRSA) | Non-Mauve (non-MRSA) |
| 5MP | InoqulA+ | 105/110 (95.5) | 64/64 (100) | 23/26 (88.5) | 192/201 (95.5) | 92/100 (92.0) | 70/71 (98.6) | 25/28 (89.3) |
| 5MP | 10ul manual loop | 122/123 (99.2) | 39/41 (95.1) | 27/36 (75.0) | 189/201 (94.0) | 89/100 (89.0) | 68/71 (95.8) | 27/28 (96.4) |
| 5MP | 30 ul pipet | 111/113 (98.2) | 56/58 (96.6) | 17/26 (65.4) | 187/201 (93.0) | 98/100 (98.0) | 70/71 (98.6) | 28/28 (100) |
| 25MP | InoqulA+ | 112/115 (97.4) | 60/61 (90.9) | 12/20 (60.0) | 184/201 (91.5) | 95/100 (95.0) | 69/71 (97.2) | 27/28 (96.4) |
| 25MP | 10ul manual loop | 117/117 (100) | 48/50 (96.0) | 23/31 (74.2) | 190/201 (94.5) | 99/100 (99.0) | 69/71 (97.2) | 28/28 (100) |
| 25MP | 30 ul pipet | 117/119 (98.3) | 49/53 (92.5) | 13/22 (59.1) | 182/201 (90.5) | 94/100 (94.0) | 69/71 (97.2) | 26/28 (92.9) |
1Percent color agreement between the BD MRSA App result and digital image read.
2. Linearity: Not applicable
3. Analytical Specificity/Interference: Not applicable
4. Assay Reportable Range: Not applicable
5. Traceability, Stability, Expected Values (Controls, Calibrators, or Methods): Calibration of the BD Kiestra ReadA Compact camera is described with the BD Kiestra IdentifA, K191964. When alerted, occasional calibration of the camera is required as well as after cleaning using BD provided calibration plates. In addition, biological quality control testing must be performed according to the BD BBL CHROMagar MRSA II media package insert instructions.
6. Detection Limit: In lieu of a limit of detection study to identify the smallest colony size (diameter) that can reproducibility be detected as a mauve colony by the BD MRSA App, a study was performed
K213280 - Page 11 of 13
{11}
to determine the average colony size (diameter) when first detected as mauve by the BD MRSA App. Three MRSA strains (see Table 1) were diluted into saline (final concentrations of $1 \times 10^{3}$ and $1 \times 10^{5} \mathrm{CFU/mL}$ ) and plated onto BD BBL CHROMagar MRSA II media with the InoquA+ in 5 replicates (3 MRSA isolates x 2 dilutions x 5 replicates = 30 total plates imaged). To allow such testing, an unlocked, non-commercially available functionality in the BD MRSA App was used to process digital images of plates with MRSA isolates in 1-hour increments. After two hours of incubation, image acquisition occurred every hour with the last image time point set as 22 hours. The BD MRSA App as well as a panel of three microbiologists evaluated the digital images at each timepoint and reported the colony diameter when a mauve colony was first detected.
A total of 857 mauve colonies were evaluated amongst the three MRSA strains. The average colony diameter for each strain is summarized in Table 10.
Table 10. Average Mauve Colony Diameter When First Detected
| Organism Code | Number of Mauve Colonies Evaluated | Colony diameter | |
| --- | --- | --- | --- |
| | | Average (mm) | Standard Deviation (mm) |
| ATCC 43300 | 277 | 0.42 | 0.12 |
| ATCC 33591 | 236 | 0.38 | 0.10 |
| POS3679 | 344 | 0.39 | 0.09 |
7. Assay Cut-Off: Not applicable
# B Comparison Studies:
1. Method Comparison with Predicate Device: Not applicable
2. Matrix Comparison: Not applicable
# C Clinical Studies:
1. Clinical Sensitivity: The clinical performance of the BD Kiestra MRSA App was evaluated at three testing sites (2 US and 1 outside US). Remnant anterior nares specimens that were leftover from standard of care for surveillance screening were processed per the BD Kiestra MRSA App instructions for use and evaluated for plate growth and color after 24 hours of growth with the BD Kiestra ReadA Compact. After the plates were imaged, two trained and proficient operators evaluated the digital image for plate growth and color to be compared with the BD Kiestra MRSA App result. A third operator (arbiter) performed an additional, blinded evaluation if the results between the two operators did not agree. If all three operators provided different results, the readings were considered "non-compliant". A total of 1775 images were evaluated; 1609 images were compliant. An additional 16 images were excluded from analysis due to mixed purity growth that could not be interpreted for color. Results for the remaining 1593 images are summarized in Table 11. The overall agreement of the BD
K213280 - Page 12 of 13
{12}
Kiestra MRSA App is 76.6% for "no growth", 84.5% for "non-mauve growth", and 98.2% for "mauve growth" detection. These performance results are acceptable since all digital plate images will be reviewed by a trained microbiologist.
Table 11. BD Kiestra MRSA App Clinical Study Performance
| | | Microbiologist Interpretation of Digital Image | | | |
| --- | --- | --- | --- | --- | --- |
| | | No Growth | Non-Mauve | Mauve | Grand Total |
| BD Kiestra MRSA App | No Growth | 773 | 9 | 1 | 783 |
| | Non-Mauve | 237 | 207 | 5 | 449 |
| | Mauve | 13 | 29 | 319 | 361 |
| | Grand Total | 1023 | 245 | 325 | 1593 |
| | No Growth Percent Agreement: 75.6% (773/1023)
Non-Mauve Percent Agreement: 84.5% (207/245)
Mauve Percent Agreement: 98.2% (319/325) | | | | |
2. Clinical Specificity: Not applicable
3. Other Clinical Supportive Data (When 1. and 2. Are Not Applicable): Not applicable
D Clinical Cut-Off: Not applicable
E Expected Values/Reference Range: A summary of the number and percentage of samples with "no growth", "non-mauve growth", and "mauve growth" interpretations, as determined by a panel of microbiologists and the BD MRSA App is summarized in Table 12.
Table 12. Microbiologist (comparator) and BD MRSA App Results from Clinical Study
| Interpretation | Microbiologist (comparator) | BD Kiestra MRSA App |
| --- | --- | --- |
| No Growth | 1023 (64.2%) | 784 (48.7%) |
| Non-Mauve Growth | 245 (15.4%) | 456 (28.3%) |
| Mauve Growth | 325 (20.4%) | 369 (22.9%) |
| TOTAL | 1593a | 1609 |
a16 results excluded from analysis due to CHROMagar MRSA plates with mixed purity growth that could not be interpreted for color.
VIII Proposed Labeling: The labeling supports the finding of substantial equivalence for this device.
IX Conclusion: The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
K213280 - Page 13 of 13
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.