K191125 · Galgo Medical S.L · LLZ · Jan 15, 2020 · Radiology
Device Facts
Record ID
K191125
Device Name
ADAS 3D
Applicant
Galgo Medical S.L
Product Code
LLZ · Radiology
Decision Date
Jan 15, 2020
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.2050
Device Class
Class 2
Attributes
Software as a Medical Device
Indications for Use
ADAS 3D is indicated for use in clinical settings to support the visualization and analysis of MR and CT images of the heart for use on individual patients with cardiovascular disease. ADAS 3D is indicated for patients with myocardial scar produced by ischemic heart disease. ADAS 3D processes MR and CT images. The quality and the resolution of the medical images determines the accuracy of the data produced by ADAS 3D. ADAS 3D is indicated to be used only by qualified medical professionals for the visualization and analysis of cardiac images. The data produced by ADAS 3D must not be used as an irrefutable basis or a source of medical advice for clinical diagnosis or patient treatment. The data produced by ADAS 3D is intended to be used to support qualified medical professionals for clinical decision making. ADAS 3D is not intended to identify regions for catheter ablation or treatment of arrhythmias.
Device Story
ADAS 3D is a software-based image processing tool for post-processing cardiovascular enhanced MRI and CTA images. It imports DICOM image databases to enable 3D cardiac visualization and quantification of enhancement levels. The device calculates and visualizes myocardial scar distribution, LV wall thickness, and 3D corridors of intermediate signal intensity enhancement. It is used in clinical settings by qualified medical professionals (cardiologists, electrophysiologists, radiologists, technicians) to support clinical decision-making. The software exports data in industry-standard formats for use in external systems, including EP navigation systems. It does not provide medical advice or irrefutable diagnostic results; it serves as a visualization and analysis aid. The device benefits patients by providing detailed anatomical and tissue characterization data to assist clinicians in evaluating cardiovascular disease.
Clinical Evidence
The submission states that clinical data was used to test and validate the software, alongside non-clinical testing with synthetic and phantom data. No specific clinical study metrics (e.g., sensitivity, specificity, AUC) are provided in the summary document.
Technological Characteristics
Standalone software application for Windows 10 (64-bit). Processes DICOM MR/CT images. Features include 3D multiplanar reconstruction, enhancement quantification, and 3D corridor detection. Developed per ISO 14971 (risk management) and ISO 62304 (software lifecycle). Connectivity via standard DICOM/DICOMDIR and export to industry-standard formats (VTK/DIF, MPEG, PNG).
Indications for Use
Indicated for patients with myocardial scar produced by ischemic heart disease. Used by qualified medical professionals (cardiologists, electrophysiologists, radiologists, or trained technicians) to support visualization and analysis of cardiac MR and CT images. Not intended to identify regions for catheter ablation or treatment of arrhythmias.
Regulatory Classification
Identification
A medical image management and processing system is a device that provides one or more capabilities relating to the review and digital processing of medical images for the purposes of interpretation by a trained practitioner of disease detection, diagnosis, or patient management. The software components may provide advanced or complex image processing functions for image manipulation, enhancement, or quantification that are intended for use in the interpretation and analysis of medical images. Advanced image manipulation functions may include image segmentation, multimodality image registration, or 3D visualization. Complex quantitative functions may include semi-automated measurements or time-series measurements.
Special Controls
*Classification.* Class II (special controls; voluntary standards—Digital Imaging and Communications in Medicine (DICOM) Std., Joint Photographic Experts Group (JPEG) Std., Society of Motion Picture and Television Engineers (SMPTE) Test Pattern).
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January 15, 2020
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Galgo Medical S.L % Antoni Riu General Manager C/Comte d'Urgell, 143, 4B Barcelona, Barcelona 08036 SPAIN
Re: K191125
Trade/Device Name: ADAS 3D Regulation Number: 21 CFR 892.2050 Regulation Name: Picture archiving and communications system Regulatory Class: Class II Product Code: LLZ Dated: December 1, 2019 Received: December 12, 2019
Dear Antoni Riu:
We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database located at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting of medical device-related adverse events) (21 CFR 803) for
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devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
For comprehensive regulatory information about mediation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medicaldevices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-device-advice-comprehensive-regulatoryassistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely.
For
Thalia T. Mills, Ph.D. Director Division of Radiological Health OHT7: Office of In Vitro Diagnostics and Radiological Health Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
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### Indications for Use
510(k) Number (if known) K191125
Device Name ADAS 3D
Indications for Use (Describe)
ADAS 3D is indicated for use in clinical settings to support the visualization and analysis of MR and CT images of the heart for use on individual patients with cardiovascular disease.
ADAS 3D is indicated for patients with myocardial scar produced by ischemic heart disease. ADAS 3D processes MR and CT images. The quality and the resolution of the medical images determines the accuracy of the data produced by ADAS 3D.
ADAS 3D is indicated to be used only by qualified medical professionals for the visualization and analysis of cardiac images. The data produced by ADAS 3D must not be used as an irrefutable basis or a source of medical advice for clinical diagnosis or patient treatment. The data produced by ADAS 3D is intended to be used to support qualified medical professionals for clinical decision making.
ADAS 3D is not intended to identify regions for catheter ablation or treatment of arrhythmias.
Type of Use (Select one or both, as applicable)
| Prescription Use (Part 21 CFR 801 Subpart D) | <span style="font-size: 16px;">☑</span> |
|----------------------------------------------|-----------------------------------------|
| Over-The-Counter Use (21 CFR 801 Subpart C) | <span style="font-size: 16px;">☐</span> |
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Image /page/3/Picture/0 description: The image shows the logo for GalgoMedical. The logo consists of a stylized silhouette of a dog's head facing left, followed by the text "GALGOMEDICAL" in a sans-serif font. The logo is simple and modern, with a focus on the company's name and a visual representation of a galgo, a type of Spanish greyhound.
### Section 5 - 510(k) Summary
K191125
| SUBMITTER NAME: | GALGO MEDICAL S.L |
|--------------------|--------------------------------------------------------------------|
| SUBMITTER ADDRESS: | C/Comte d'Urgell 143, 4-B<br>08036 Barcelona<br>BARCELONA<br>SPAIN |
| CONTACT: | Antoni Riu |
| TELEPHONE: | +34 93 328 3964 |
| e-mail: | Antoni.riu@galgomedical.com |
| DEVICE TRADE NAME: | ADAS 3D |
| COMMON NAME: | Radiological Image Processing System |
Radiological Image Processing System (21 CFR 892.2050) CLASSIFICATION NAME: PRODUCT CODE: LLZ REGULATION DESCRIPTION: Picture archiving and communications system
#### PREDICATE DEVICE(S): MR-CT VVA (K140587)
### 1. DEVICE DESCRIPTION
ADAS 3D is a software-based image processing tool for post-processing cardiovascular enhanced Magnetic Resonance (MRI) images and Computed Tomography Angiography (CTA) images.
ADAS 3D is designed to process DICOM image databases to enable the calculation, quantification and visualization of 3D cardiac imaging data by displaying and quantifying the levels of enhancement. ADAS 3D also enables the visualization of the cardiac chamber and the adjacent anatomy. After data processing, the data and images can be exported utilizing industry standard formats for viewing on other system, including Electrophysiology (EP) navigation system.
| Characteristics / Feature | ADAS 3D |
|---------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| General Features | |
| Operation System | Min. 64-bit Microsoft Windows 10<br>Rec. 64-bit Microsoft® Windows® 10 |
| CPU Type | Min. Intel® Pentium® 4 or AMD Athlon™ 64, 3 GHz or faster or Intel® or<br>AMD dual core 2 GHz or faster<br>Rec. Intel® Core i74790 K or equivalent |
| Memory | Min. 8 GB RAM<br>Rec. 16 GB RAM |
| Disk Space | Min. 100 GB free disk space for local study database<br>Rec. 250 GB free disk space or more for local study database |
| Graphics | Min. Microsoft® DirectX 10® capable graphics card or higher |
| Other | Rec. Microsoft® DirectX 11® or capable graphics card or higher (for<br>example GeForce GT 730)<br>1,280 x 1,024 or higher screen resolution |
| Input file formats | DICOM/DICOMDIR |
| System Interface | -DICOM: Digital Imaging and Communications in Medicine (DICOM) is a<br>standard for handling, storing, printing, and transmitting information in<br>medical imaging.<br>-LIEBRE Study: A LIEBRE study is a set of files storing each processed<br>case.<br>- Navigation System File Format: Format for Navigation system.<br>Snapshots: Snapshots in PNG format.<br>-Videos: Videos in MPEG format and MPEG-1 video codec. |
| User Interface | -Application workflow navigation tool.<br>-Toolbar.<br>-Working area.<br>-Toolbox. |
| Functional Features | |
| Functions | -Importing Cardiac Imaging (MRI/CTA) in DICOM format<br><br>MRI Images support:<br>• Visualization of the distribution of the enhancement in a three-<br>dimensional (3D) chamber of the heart<br>• Quantification of the total volume of the enhancement within the<br>Left Ventricle (LV) and the visualization of the enhancement area<br>in multiple layers through the cardiac structure<br>• Calculation, quantification and visualization of corridors of<br>intermediate signal intensity enhancement in the LV<br>• Quantification and visualization of the total area and distribution of<br>the enhancement within the Left Atrium (LA)<br><br>CTA images support:<br>• Quantification of LV wall thickness<br>• Identification and Visualization of other 3D anatomical structures<br>- The ADAS 3D exports data into industry standard file formats supported<br>by catheter navigation systems |
| Data Storage | All analysis results can be saved and reloaded again for reviewing and/or<br>exporting. The analysis results include the input DICOM image, 3D<br>models, numerical values, snapshots and videos. |
| Software Algorithms | -Left Ventricle Layer Computation<br>-Left Atrium Layer Computation Algorithm<br>-Enhancement Quantification algorithm<br>-3D Corridor Detection Algorithm<br>-Heart Anatomy Extraction algorithm<br>-From Binary image to surface mesh algorithm<br>-Left Ventricle Wall Thickness algorithm |
The following table lists the principal characteristics and features of the software:
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Image /page/5/Picture/0 description: The image shows the logo for GalgoMedical. The logo consists of a stylized silhouette of a dog's head on the left, followed by the text "GALGOMEDICAL" in a sans-serif font. The dog's head is facing left and has pointed ears.
#### 3D corridors module 1.1.
The 3D Corridors Module is an automatic detection feature designed to help identify and visualize 3D corridors of border zone (BZ) tissue within the LV. The 3D Corridors algorithm generates visual representations of the corridors that may travel through multiple layers of the LV.
A 3D Corridor is defined as a path of BZ tissue (or an area of intermediate intensity on the MRI) that starts and ends in healthy tissue (HT) and travels between areas of core scar (CS) tissue. A corridor is a three-dimensional path in the myocardium and has an associated volume. The ADAS 3D software distinguishes between protected and unprotected regions for a corridor.
- A protected region of BZ tissue is defined as the corridor that is embedded in an area of CS.
- . An unprotected region of BZ tissue is defined as BZ tissue that is not surrounded by CS.
The ADAS 3D software only calculates 3D Corridors using the layers in between the endo and epicardium. The mitral value and the endo and epicardial surfaces define the boundaries for 3D Corridor detection, they are considered as CS tissue by the software.
To be automatically identified, by ADAS 3D, as a 3D Corridor, four criteria must be met in at least one layer:
- 1. It must pass through a BZ region
- 2. It must connect two HT regions
- 3. It must be protected by the CS region both
- a. Within its layer, on both sides and by a minimum CS size
- b. AND surrounding the layer
- 4. It must have a minimum length of 5 mm
### 1.1.1. Precautions
- The software is not intended to identify regions for catheter ablation or treatment of . arrhythmias.
- . This software is a tool to support clinicians for better visualization of cardiac images from MR and CTA. It is up to the clinicians to make their own interpretations of the information that is presented.
- The intermediate signal intensity "3D Corridor" detection tool is not intended for clinical patient management and its use has not been validated clinically.
- . The results are explicitly not to be regarded as the sole, irrefutable basis for clinical diagnosis.
#### 1.2. SUMMARY OF COMPARISON WITH PREDICATE DEVICE
In the establishment of substantial equivalence, the Software ADAS 3D is compared with the following previously cleared device:
- MR-CT VVA (K140587)
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Image /page/6/Picture/0 description: The image shows the logo for GalgoMedical. The logo consists of a stylized black silhouette of a dog's head facing left, followed by the word "GALGOMEDICAL" in a sans-serif font. The text is also in black, creating a clean and professional look.
Comparison of the proposed devices with the predicate device is summarized in the following table
| Elements of<br>Comparison | Proposed Device<br>ADAS 3D<br>(GALGO MEDICAL S.L) | Predicate Device<br>MR-CT VVA<br>(Medis Medical Imaging Systems, b.v.) | | |
|----------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------|
| Regulatory Data | | | | |
| Regulatory<br>Class | Class II | Class II | Identical | |
| Classification name | Radiological Image processing system | Radiological Image processing system | Identical | |
| Regulation<br>Number | 21 CFR 892.2050 | 21 CFR 892.2050 | Identical | |
| Product<br>Code | LLZ | LLZ | Identical | |
| FDA<br>Clearance | Pending | 510(k) cleared: K140587 | - | |
| Use | | | | |
| Indication<br>for Use | ADAS 3D is indicated for use in the<br>clinical setting to support the<br>visualization and analysis of cardiac<br>MR and CTA images for patients with<br>cardiovascular disease.<br><br>ADAS 3D is indicated for patients with<br>myocardial scar produced by ischemic<br>or non-ischemic heart disease. ADAS<br>3D processes MR and CTA images.<br>The quality and the resolution of the<br>original images determines the<br>quality and the accuracy of the data<br>produced by ADAS 3D.<br><br>ADAS 3D is indicated to be used by<br>qualified medical professionals<br>(cardiologists, electrophysiologists,<br>radiologists or trained technicians)<br>for the calculation, quantification and<br>visualization of cardiac images. The<br>data produced by ADAS 3D is<br>indicated to be used to support<br>clinical decision making and should<br>not be used on an irrefutable basis or<br>as the sole source of information for | MR-CT VVA is indicated for use in<br>clinical settings where more<br>reproducible than manually derived<br>quantified results are needed to<br>support the visualization and<br>analysis of MR and CT images of the<br>heart and blood vessels for use on<br>individual patients with<br>cardiovascular disease. Further, MR-<br>CT VVA allows the quantification of<br>cerebral spinal fluid in MR velocity-<br>encoded flow images.<br><br>When the quantified results<br>provided by MR-CT VVA are used in<br>a clinical setting on MR and CT<br>images of an individual patient, they<br>can be used to support the clinical<br>decision making for the diagnosis of<br>the patient. In this case, the results<br>are explicitly not to be regarded as<br>the sole, irrefutable basis for clinical<br>diagnosis, and they are only<br>intended for use by the responsible<br>clinicians. | Similar to<br>predicate<br>device | |
| Elements of<br>Comparison | Proposed Device<br>ADAS 3D<br>(GALGO MEDICAL S.L) | Predicate Device<br>MR-CT VVA<br>(Medis Medical Imaging Systems,<br>b.v.) | | |
| | clinical diagnosis or patient<br>treatment.<br>ADAS 3D is not intended to identify<br>regions for catheter ablation or<br>treatment of arrhythmias. | | | |
| Intended<br>use | | ADAS 3D is intended to be used for<br>post-processing cardiovascular<br>enhanced Magnetic Resonance (MR)<br>images and Computed Tomography<br>Angiography (CTA) images that are<br>formatted in Digital Imaging and<br>Communication in Medicine (DICOM)<br>standard. ADAS 3D is intended for the<br>non-invasive calculation,<br>quantification and visualization of<br>cardiac imaging data to support a<br>comprehensive diagnostic decision-<br>making process for understanding<br>cardiovascular disease.<br><br>ADAS 3D analyzes the enhancement<br>of myocardial fibrosis from DICOM<br>MR images to support:<br>• Visualization of the distribution of<br>the enhancement in a three-<br>dimensional (3D) chamber of the<br>heart.<br>• Quantification of the total<br>volume of the enhancement<br>within the left Ventricle (LV) and<br>the visualization of the<br>enhancement area in multiple<br>layers through the cardiac<br>structure.<br>• Calculation, quantification and<br>visualization of corridors of<br>intermediate signal intensity<br>enhancement in the LV.<br>• Quantification and visualization<br>of the total area and distribution<br>of the enhancement within the<br>Left Atrium (LA).<br><br>Additionally, ADAS 3D imports<br>DICOM CTA images to support:<br>• Quantification of the wall<br>thickness of the LV. | QMass® MR is software intended to<br>be used for the visualization and<br>analysis of MR and CT images of the<br>heart and blood vessels.<br><br>QMass® MR is intended to support<br>the following visualization<br>functionalities:<br>- cine loop and 2D review<br>- performing caliper measurements<br><br>QMass® MR is also intended to<br>support the following analyses:<br>- cardiac function quantification<br>- anatomy and tissue segmentation<br>- signal intensity analysis for the<br>myocardium and infarct sizing<br>- MR parametric maps (such as T1,<br>T2, T2* relaxation)<br><br>QMass® MR is also intended to be<br>used for:<br>- quantification of T2* results in MR<br>images that can be used to<br>characterize iron loading in the<br>heart and the liver<br><br>These analyses are based on<br>contours that are either manually<br>drawn by the clinician or trained<br>medical technician who is operating<br>the software, or automatically<br>detected by the software and<br>subsequently presented for review<br>and manual editing. The results<br>obtained are displayed on top of the<br>images and provided in reports.<br><br>The analysis results obtained with<br>QMass® MR are intended for use by<br>cardiologists and radiologists to<br>support clinical decisions concerning<br>the heart and vessels. | Similar to<br>predicate<br>device |
| Elements of<br>Comparison | Proposed Device<br>ADAS 3D<br>(GALGO MEDICAL S.L) | Predicate Device<br>MR-CT VVA<br>(Medis Medical Imaging Systems,<br>b.v.) | | |
| | Identification and<br>visualization of other 3D<br>anatomical structures. ADAS-3D exports information to<br>multiple industry standard file<br>formats suitable for documentation<br>and information sharing purposes.<br>The 3D data is exported into industry<br>standard file formats supported by<br>catheter navigation systems. It is<br>intended to be used by qualified<br>medical professionals (cardiologists,<br>electrophysiologists, radiologists or<br>trained technicians) experienced in<br>examining and evaluating<br>cardiovascular MR and CTA images as<br>part of the comprehensive diagnostic<br>decision-making process. ADAS-3D is<br>a standalone software application. |…
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.