K230803 · Adas3D Medical S.L. · LLZ · May 23, 2023 · Radiology
Device Facts
Record ID
K230803
Device Name
ADAS 3D
Applicant
Adas3D Medical S.L.
Product Code
LLZ · Radiology
Decision Date
May 23, 2023
Decision
SESE
Submission Type
Special
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 or non-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 (cardiologists, electrophysiologists, radiologists or trained technicians) for the calculation, quantification and visualization of cardiac images and intended to be used for pre-planning and during electrophysiology procedures. 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. The clinical significance of using ADAS 3D to identify arrhythmia substrates for the treatment of cardiac arrhythmias (e.g., ventricular tachycardia) or risk stratification has not been established.
Device Story
ADAS 3D is a software tool for post-processing cardiovascular MR, CTA, and MRA images in DICOM format. It performs non-invasive calculation, quantification, and 3D visualization of cardiac structures and myocardial fibrosis. Inputs include DICOM MR/CT/MRA images; outputs include 3D anatomical models and quantitative data exported to industry-standard formats compatible with catheter navigation systems (e.g., Stereotaxis Navigant, Boston Scientific Rhythmia HDx). Used in clinical settings by cardiologists, radiologists, or technicians to support diagnostic decision-making and pre-planning for electrophysiology procedures. The device provides automated identification of heart anatomy, coronaries, and left ventricle, and calculates wall thickness and fibrosis distribution. It does not provide medical advice; output supports clinical decision-making by qualified professionals.
Clinical Evidence
No clinical data provided. Substantial equivalence is supported by design controls, risk analysis, and software verification/validation testing.
Technological Characteristics
Software-based radiological image processing system. Operates on DICOM-compliant MR, CTA, and MRA images. Features include 3D segmentation, quantification of myocardial fibrosis, wall thickness measurement, and anatomical structure identification. Connectivity via DICOM import and export to standard file formats for catheter navigation systems. No hardware components; software-only device.
Indications for Use
Indicated for patients with myocardial scar from ischemic or non-ischemic heart disease. Used by cardiologists, electrophysiologists, radiologists, or trained technicians for cardiac image calculation, quantification, and visualization to support pre-planning and electrophysiology procedures.
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).
{0}------------------------------------------------
Image /page/0/Picture/0 description: The image contains the logos of the Department of Health & Human Services and the Food and Drug Administration (FDA). The Department of Health & Human Services logo is on the left, and the FDA logo is on the right. The FDA logo is a blue square with the letters "FDA" in white, followed by the words "U.S. Food & Drug Administration" in blue.
Adas3D Medical S.L Antoni Riu General Manager Rambla Catalunya 53, 4H Barcelona. Barcelona 08007 Spain
May 23, 2023
Re: K230803
Trade/Device Name: Adas 3d Regulation Number: 21 CFR 892.2050 Regulation Name: Medical Image Management And Processing System Regulatory Class: Class II Product Code: LLZ Dated: May 12, 2023 Received: May 12, 2023
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
{1}------------------------------------------------
801); medical device reporting of medical device-related adverse events) (21 CFR 803) for 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,
Jessica Lamb
Jessica Lamb Assistant Director Imaging Software Team DHT8B: Division of Radiological Imaging Devices and Electronic Products OHT8: Office of Radiological Health Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
{2}------------------------------------------------
## Indications for Use
510(k) Number (if known) K230803
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 (cardiologists, radiologists, radiologists, radiologists or trained technicians) for the calculation and visualization of cardiac images and intended to be used for pre-planning and during electrophysiology procedures. 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.
The clinical significance of using ADAS 3D to identify arrhythmia substrates for the treatment of cardiac arthythmias (e.g., ventricular tachycardia) or risk stratification has not been established.
| Type of Use ( <i>Select one or both, as applicable</i> ) |
|-------------------------------------------------------------------------------------------------|
| <label><input checked="" type="checkbox"/> Prescription Use (Part 21 CFR 801 Subpart D)</label> |
| <label><input type="checkbox"/> Over-The-Counter Use (21 CFR 801 Subpart C)</label> |
CONTINUE ON A SEPARATE PAGE IF NEEDED.
This section applies only to requirements of the Paperwork Reduction Act of 1995.
***DO NOT SEND YOUR COMPLETED FORM TO THE PRA STAFF EMAIL ADDRESS BELOW.***
The burden time for this collection of information is estimated to average 79 hours per response, including the time to review instructions, search existing data sources, gather and maintain the data needed and complete and review the collection of information. Send comments regarding this burden estimate or any other aspect of this information collection, including suggestions for reducing this burden, to:
> Department of Health and Human Services Food and Drug Administration Office of Chief Information Officer Paperwork Reduction Act (PRA) Staff PRAStaff(@fda.hhs.gov
"An agency may not conduct or sponsor, and a person is not required to respond to, a collection of information unless it displays a currently valid OMB number."
{3}------------------------------------------------
# 510(K) SUMMARY
| SUBMITTER NAME: | ADAS3D MEDICAL S.L |
|----------------------|-------------------------------------------------------------------|
| SUBMITTER ADDRESS: | Rambla Catalunya 53, 4-H<br>08036 Barcelona<br>BARCELONA<br>SPAIN |
| CONTACT: | Antoni Riu |
| TELEPHONE: | +34 93 328 3964 |
| e-mail: | Antoni.riu@adas3d.com |
| DEVICE TRADE NAME: | ADAS 3D |
| COMMON NAME: | Radiological Image Processing System |
| CLASSIFICATION NAME: | Radiological Image Processing System (21 CFR 89) |
ર 892.2050) ological Image Processing System (21 CFF PRODUCT CODE: LLZ REGULATION DESCRIPTION: Picture archiving and communications system
PREDICATE DEVICE: ADAS 3D (K212421)
## 1. DEVICE DESCRIPTION
ADAS 3D is a software tool intended to be used for post-processing cardiovascular enhanced Magnetic Resonance (MR) images and Computed Tomography (CTA) images that are formatted in the Digital Imaging and Communication in Medicine (DICOM) standard. ADAS 3D is intended for the non-invasive calculation, quantification of cardiac imaging data to support a comprehensive diagnostic decision-making process for understanding cardiovascular disease.
ADAS 3D exports information to multiple industry standard file formats suitable for documentation and information sharing purposes. The 3D data is exported into industry standard file formats supported by catheter navigation systems.
ADAS 3D analyses the enhancement of myocardial fibrosis from DICOM MR images to support:
- -Visualization of the distribution of the enhancement in a three-dimensional (3D) chamber of the heart.
- -Quantification of the total volume of the enhancement within the Left Ventricle (LV) and the visualization of the enhancement area in multiple layers through the cardiac structure.
{4}------------------------------------------------
- Calculation, quantification and visualization of corridors of intermediate, signal intensity enhancement in the LV.
- Quantification and visualization of the total area and distribution of the enhancement within the left Atrium (LA).
Additionally, ADAS 3D imports DICOM CTA images to support:
- Quantification of LV wall thickness. -
- -Identification and Visualization of other 3D anatomical structures.
- -Quantification and visualization of LA wall thickness.
- Quantification and visualization of distances from the LA epicardium to other 3D anatomical structures.
Additionally, ADAS 3D imports DICOM Magnetic Resonance Angiography (MRA) images to support:
- Identification and Visualization of other 3D anatomical structures. -
It is designed to be used by qualified medical professionals (cardiologists, radiologists or trained technicians) experienced in examining and evaluating cardiovascular MR and CTA images as part of the comprehensive diagnostic decision-making process.
## 2. 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 or nonischemic 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 (cardiologists, electrophysiologists, radiologists or trained technicians) for the calculation, quantification and visualization of cardiac images and intended to be used for pre-planning and during electrophysiology procedures. 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.
The clinical significance of using ADAS 3D to identify arrhythmia substrates for the treatment of cardiac arrhythmias (e.g., ventricular tachycardia) or risk stratification has not been established.
{5}------------------------------------------------
## 3. COMPARISON WITH PREDICATE DEVICE
The ADAS 3D device that is the subject of this Special 510(k) contains seven modifications compared to the previous version of the ADAS 3D cleared under K212421. Only one of the seven modifications impacts the existing device description denoted in bold text in the left column in the table below.
| Elements of<br>Comparison | Modified Device<br>ADAS 3D<br>(ADAS3D MEDICAL S.L) | Predicate Device<br>ADAS 3D<br>(ADAS3D MEDICAL S.L)<br>K212421 |
|------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Regulatory Data | | |
| Regulatory<br>Class | Class II | Class II |
| Classification<br>name | Radiological Image processing system | Radiological Image processing system |
| Regulation<br>Number | 21 CFR 892.2050 | 21 CFR 892.2050 |
| Product Code | LLZ | LLZ |
| 510(k)<br>Number | To be assigned | K212421 |
| Use | | |
| Indications<br>for Use | ADAS 3D is indicated for use in clinical<br>settings to support the visualization and<br>analysis of MR and CT images of the heart<br>for use on individual patients with<br>cardiovascular disease.<br><br>ADAS 3D is indicated for patients with<br>myocardial scar produced by ischemic or<br>non-ischemic heart disease. ADAS 3D<br>processes MR and CT images. The quality<br>and the resolution of the medical images<br>determines the accuracy of the data produced<br>by ADAS 3D.<br><br>ADAS 3D is indicated to be used only by<br>qualified medical professionals<br>(cardiologists, electrophysiologists,<br>radiologists or trained technicians) for the<br>calculation, quantification and visualization<br>of cardiac images and intended to be used for<br>pre-planning and during electrophysiology | No change |
| Elements of<br>Comparison | Modified Device<br>ADAS 3D<br>(ADAS3D MEDICAL S.L) | Predicate Device<br>ADAS 3D<br>(ADAS3D MEDICAL S.L)<br>K212421 |
| | procedures. The data produced by ADAS 3D<br>must not be used as an irrefutable basis or a<br>source of medical advice for clinical<br>diagnosis or patient treatment. The data<br>produced by ADAS 3D is intended to be used<br>to support qualified medical professionals for<br>clinical decision making.<br><br>The clinical significance of using ADAS 3D<br>to identify arrhythmia substrates for the<br>treatment of cardiac arrhythmias (e.g.,<br>ventricular tachycardia) or risk stratification<br>has not been established. | |
| Device<br>Description<br>Including<br>Functional and<br>Technological<br>Characteristics | ADAS 3D is a software tool intended to be<br>used for post-processing cardiovascular<br>enhanced Magnetic Resonance (MR) images<br>and Computed Tomography Angiography<br>(CTA) images that are formatted in the<br>Digital Imaging and Communication in<br>Medicine (DICOM) standard. ADAS 3D is<br>intended for the non-invasive calculation,<br>quantification and visualization of cardiac<br>imaging data to support a comprehensive<br>diagnostic decision-making process for<br>understanding cardiovascular disease.<br><br>ADAS 3D exports information to multiple<br>industry standard file formats suitable for<br>documentation and information sharing<br>purposes. The 3D data is exported into<br>industry standard file formats supported by<br>catheter navigation systems.<br>ADAS 3D analyses the enhancement of<br>myocardial fibrosis from DICOM MR<br>images to support:<br>- Visualization of the distribution of the<br>enhancement in a three-dimensional | ADAS 3D is a stand-alone software tool<br>designed for post-processing cardiovascular<br>enhanced Magnetic Resonance (MR) images<br>and Computed Tomography Angiography<br>(CTA) images that are formatted in the Digital<br>Imaging and Communication in Medicine<br>(DICOM) standard. ADAS 3D software aids<br>in the non-invasive calculation, quantification<br>and visualization of cardiac imaging data to<br>support a comprehensive diagnostic decision-<br>making process for understanding<br>cardiovascular disease.<br><br>ADAS 3D exports information to multiple<br>industry standard file formats suitable for<br>documentation and information sharing<br>purposes. The 3D data is exported into<br>industry standard file formats supported by<br>catheter navigation systems.<br>ADAS 3D analyses the enhancement of<br>myocardial fibrosis from DICOM MR images<br>to support:<br>- Visualization of the distribution of the<br>enhancement in a three-dimensional |
| Elements of<br>Comparison | Modified Device<br>ADAS 3D<br>(ADAS3D MEDICAL S.L) | Predicate Device<br>ADAS 3D<br>(ADAS3D MEDICAL S.L)<br>K212421 |
| | (3D) chamber of the heart.<br>- Quantification of the total volume of<br>the enhancement within the Left<br>Ventricle (LV) and the visualization<br>of the enhancement area in multiple<br>layers through the cardiac structure.<br>- Calculation, quantification and<br>visualization of corridors of<br>intermediate, signal intensity<br>enhancement in the LV.<br>- Quantification and visualization of<br>the total area and distribution of the<br>enhancement within the left Atrium<br>(LA).<br>Additionally, ADAS 3D imports DICOM<br>CTA images to support:<br>- Quantification of LV wall thickness.<br>- Identification and Visualization of<br>other 3D anatomical structures.<br>- Quantification and visualization of<br>LA wall thickness.<br>- Quantification and visualization of<br>distances from the LA epicardium to<br>other 3D anatomical structures.<br>Additionally, ADAS 3D imports DICOM<br>Magnetic Resonance Angiography (MRA)<br>images to support:<br>- Identification and Visualization of<br>3D anatomical structures. | (3D) chamber of the heart.<br>- Quantification of the total volume of<br>the enhancement within the Left<br>Ventricle (LV) and the visualization<br>of the enhancement area in multiple<br>layers through the cardiac structure.<br>- Calculation, quantification and<br>visualization of corridors of<br>intermediate, signal intensity<br>enhancement in the LV.<br>- Quantification and visualization of<br>the total area and distribution of the<br>enhancement within the left Atrium<br>(LA).<br>Additionally, ADAS 3D imports DICOM<br>CTA images to support:<br>- Quantification of LV wall thickness.<br>- Identification and Visualization of<br>other 3D anatomical structures.<br>- Quantification and visualization of<br>LA wall thickness.<br>- Quantification and visualization of<br>distances from the LA epicardium to<br>other 3D anatomical structures.<br>It is designed to be used by qualified medical<br>professionals (cardiologists, radiologists or<br>trained technicians) experienced in examining<br>and evaluating cardiovascular MR and CTA<br>images as part of the comprehensive<br>diagnostic decision-making process |
| | It is intended to be used by qualified medical<br>professionals (cardiologists, radiologists or<br>trained technicians) experienced in<br>examining and evaluating cardiovascular MR<br>and CTA images as part of the<br>comprehensive diagnostic decision-making<br>process | |
{6}------------------------------------------------
{7}------------------------------------------------
{8}------------------------------------------------
| No. | Changes(s) |
|-----|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 1. | Change-1: Initial identification of structures<br>- The Heart Anatomy Extraction tool has been improved with an option to provide an initial identification of the coronaries.<br>- The Left Ventricle Enhancement analysis has been improved with an option to provide an initial identification of the Left Ventricle.<br>- The Heart Anatomy Extraction tool has been improved with an option to provide an initial identification of the left chambers and aorta. |
| 2. | Change 2: Improved Export Formats<br>- The export to the DIF-5.0 file format has been optimized to preserve the transition of the three tissue types for the exported layers.<br>- The functionality to export to catheter navigation systems has been improved to add support to the Navigant navigation system from the manufacturer Stereotaxis Inc. (St Louis, MO, USA) and the Rhythmia HDx navigation system from the manufacturer Boston Scientific Corporation (Minneapolis, MN, USA). |
| 3. | Change 3: Addition of measurements tools<br>A generic Measurement Module has been added to allow computing distances between points. |
| 4. | Change 4: Improved left ventricle Wall Thickness Workflow for CTA.<br>The Left Ventricle Wall Thickness analysis has been improved to obtain a more detailed segmentation of the patient anatomy and a better visualization of the thickness for CTA images. |
| 5. | Change 5: Improve in corridor detection<br>The 3D Corridors detection module has been improved to handle special cases for the treatment of the Healthy Tissue (HT) region. |
| 6. | Change 6: Import of MRA DICOM images<br>The DICOM import tool has been improved to add support for the MRA image modality. |
| 7. | Change 7: Exclude image region<br>The calculation, quantification and visualization of cardiac imaging data has been improved by adding an Exclude Image Region Tool to allow excluding a region from analysis. |
## Changes from the last 510(k) clearance K212421:
## 4. SUMMARY OF NON-CLINICAL TESTING
The modified ADAS 3D device has been subject to design controls including design review, risk analyses, design verification / validation testing in order to ensure its safety and effectiveness. The modifications were assessed using well-established methods to validate that the software fully satisfies system requirements.
## 5. CONCLUSION
The implemented design control activities demonstrate the safety and effectiveness of the
{9}------------------------------------------------
modified device. Therefore, Adas3D Medical believes the modified ADAS 3D software device should be found substantially equivalent to the predicate ADAS 3D device (K212421).
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.