The SKOUT system is a software device designed to detect potential colorectal polyps in real time during colonoscopy examinations. It is indicated as a computer-aided detection tool providing colorectal polyps location information to assist qualified and trained gastroenterologists in identifying potential colorectal polyps during colonoscopy examinations in adult patients undergoing colorectal cancer screening or surveillance. The SKOUT system is only intended to assist the gastroenterologist in identifying suspected colorectal polyps and the gastroenterologist is responsible for reviewing SKOUT suspected polyp areas and confirming the presence or absence of a polyp based on their own medical judgment. SKOUT is not intended to replace a full patient evaluation, nor is it intended to be relied upon to make a primary interpretation of endoscopic procedures, medical diagnosis, or recommendations of treatment/course of action for patients. SKOUT is indicated for white light colonoscopy only.
Device Story
SKOUT system is a software-based computer-aided detection (CADe) device for real-time analysis of high-definition endoscopic video during colonoscopy. It processes video input to identify potential colorectal polyps; outputs visual markers (blue rectangular outlines) superimposed on the endoscopic monitor. Used in clinical settings by gastroenterologists; system pauses detection when surgical tools are detected or lighting is inadequate to prevent obstruction. Includes a GUI with status indicators (active, tool present, or error). The device assists clinicians in polyp identification; however, the clinician retains responsibility for final diagnosis and clinical decision-making. Benefits include potential improvement in polyp detection rates during screening or surveillance.
Clinical Evidence
No clinical data presented. Substantial equivalence supported by software verification and validation, electrical safety/EMC testing (IEC 60601-1, IEC 60601-1-2, IEC 60601-2-18), and human factors validation.
Technological Characteristics
Software-based CADe system; single-piece hardware architecture. Interfaces with endoscopes (Olympus EVIS EXERA III, FUJI EC760 series). Powered by hospital mains. Features real-time video processing with AI-based detection algorithm. GUI provides visual status indicators and polyp bounding boxes. Complies with IEC 60601-1, IEC 60601-1-2, and IEC 60601-2-18 standards.
Indications for Use
Indicated for adult patients undergoing colorectal cancer screening or surveillance colonoscopy. Assists trained gastroenterologists in identifying potential colorectal polyps in real time during white light colonoscopy.
Regulatory Classification
Identification
A gastrointestinal lesion software detection system is a computer-assisted detection device used in conjunction with endoscopy for the detection of abnormal lesions in the gastrointestinal tract. This device with advanced software algorithms brings attention to images to aid in the detection of lesions. The device may contain hardware to support interfacing with an endoscope.
Special Controls
In combination with the general controls of the FD&C Act, the gastrointestinal lesion software detection system is subject to the following special controls:
*Classification.* Class II (special controls). The special controls for this device are:(1) Clinical performance testing must demonstrate that the device performs as intended under anticipated conditions of use, including detection of gastrointestinal lesions and evaluation of all adverse events.
(2) Non-clinical performance testing must demonstrate that the device performs as intended under anticipated conditions of use. Testing must include:
(i) Standalone algorithm performance testing;
(ii) Pixel-level comparison of degradation of image quality due to the device;
(iii) Assessment of video delay due to marker annotation; and
(iv) Assessment of real-time endoscopic video delay due to the device.
(3) Usability assessment must demonstrate that the intended user(s) can safely and correctly use the device.
(4) Performance data must demonstrate electromagnetic compatibility and electrical safety, mechanical safety, and thermal safety testing for any hardware components of the device.
(5) Software verification, validation, and hazard analysis must be provided. Software description must include a detailed, technical description including the impact of any software and hardware on the device's functions, the associated capabilities and limitations of each part, the associated inputs and outputs, mapping of the software architecture, and a description of the video signal pipeline.
(6) Labeling must include:
(i) Instructions for use, including a detailed description of the device and compatibility information;
(ii) Warnings to avoid overreliance on the device, that the device is not intended to be used for diagnosis or characterization of lesions, and that the device does not replace clinical decision making;
(iii) A summary of the clinical performance testing conducted with the device, including detailed definitions of the study endpoints and statistical confidence intervals; and
(iv) A summary of the standalone performance testing and associated statistical analysis.
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Image /page/0/Picture/0 description: The image contains the logo of the U.S. Food and Drug Administration (FDA). On the left is the Department of Health & Human Services logo. To the right of that is the FDA logo, which is a blue square with the letters "FDA" in white. To the right of the blue square is the text "U.S. FOOD & DRUG ADMINISTRATION" in blue.
April 7, 2023
Iterative Scopes Inc. Dennis Francoeur Director of Regulatory Affairs 675 Massachusetts Ave 2nd Floor Cambridge, MA 02139
Re: K230658
Trade/Device Name: SKOUT® system Regulation Number: 21 CFR 876.1520 Regulation Name: Gastrointestinal Lesion Software Detection System Regulatory Class: Class II Product Code: QNP Dated: March 9, 2023 Received: March 9, 2023
Dear Dennis Francoeur:
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.
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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 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.
# Shanil P. Haugen -S
Shanil P. Haugen, Ph.D. Assistant Director DHT3A: Division of Renal, Gastrointestinal, Obesity and Transplant Devices OHT3: Office of GastroRenal, ObGyn, General Hospital and Urology Devices Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
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510(k) Number (if known)
K230658
Device Name
#### SKOUT® System
Indications for Use (Describe)
The SKOUT system is a software device designed to detect potential colorectal polyps in real time during colonoscopy examinations. It is indicated as a computer-aided detection tool providing colorectal polyps location information to assist qualified and trained gastroenterologists in identifying potential colorectal polyps during colonoscopy examinations in adult patients undergoing colorectal cancer screening or surveillance.
The SKOUT system is only intended to assist the gastroenterologist in identifying suspected colorectal polyps and the gastroenterologist is responsible for reviewing SKOUT suspected polyp areas and confirming the presence or absence of a polyp based on their own medical judgment. SKOUT is not intended to replace a full patient evaluation, nor is it intended to be relied upon to make a primary interpretation of endoscopic procedures, medical diagnosis, or recommendations of treatment/course of action for patients. SKOUT is indicated for white light colonoscopy only.
| Type of Use (Select one or both, as applicable) | |
|-------------------------------------------------|-----------------------------------------------|
| X Prescription Use (Part 21 CFR 801 Subpart D) | □ Over-The-Counter Use (21 CFR 801 Subpart C) |
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#### VII. 510(K) SUMMARY
#### 510(k) SUMMARY
SKOUT® system
### Submitter:
Iterative Health, Inc. (Iterative Scopes)
675 Massachusetts Ave
Cambridge MA 02139
Phone: (603) 819-8387
Contact Person: Dennis Francoeur, Director of Regulatory Affairs
Date Prepared: March 9, 2023
Name of Device: SKOUT® System
Classification Name: Gastrointestinal Lesion Software Detection System
Classification Panel: Gastroenterology and Urology
Regulation Number: 876.1520
Product Code: QNP
Predicate Device: SKOUT System, Iterative Scopes, K213686
# Device Description
The SKOUT® system is a software-based computer aided detection (CADe) system for the analysis of highdefinition endoscopic video during colonoscopy procedures. The SKOUT system is intended to aid gastroenterologists with the detection of potential colorectal polyps during colonoscopy by providing an informational visual aid on the endoscopic monitor using trained software that processes the endoscopic video in real time.
Users will primarily interact with the SKOUT system by observing the software display, including the polyp detection box and device status indicator signal.
#### Polyp Detection Notification
The SKOUT system has a main graphical user interface (GUI) feature of the polyp detection notification. The polyp detection notification is a two-dimensional blue rectanqular outline generated around any suspected polyps on the endoscopic video feed. If there is no polyp detected, the bounding box does not appear. SKOUT® system pauses polyp detection when an endoscopic tools are detected in the video feed to ensure that the bounding box does not hinder any surgical procedure, biopsy, or resection or this may also occur when lighting conditions are deemed to be inadequate.
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The polyp detection notification enables users to:
- Detect potential colorectal polyps during colonoscopy examinations in adult patients undergoing a . colorectal cancer screeninq or surveillance procedure.
- Utilize a tool that provides additional information for endoscopic observation. ●
### Device Status Indicator
The SKOUT system has an additional GUI feature that notifies users of the current device status (active or error):
- a two-dimensional green box with letter (S) when the device is powered on and actively processing ● video.
- o a two-dimensional grav box with letter (S) when a surgical tool is present.
- a red (X) with an error message: when there is an error with the video processing function of the ● SKOUT system, the green box will be replaced with a red X and error message to indicate an error has occurred.
### Intended Use / Indications for Use
The SKOUT system is a software device designed to detect potential colorectal polyps in real time during colonoscopy examinations. It is indicated as a computer-aided detection tool providing colorectal polyps location information to assist qualified and trained gastroenterologists in identifying potential colorectal polyps during colonoscopy examinations in adult patients undergoing colorectal cancer screening or surveillance.
The SKOUT system is only intended to assist the aastroenterologist in identifying suspected colorectal polyps and the gastroenterologist is responsible for reviewing SKOUT suspected polyp areas and confirming the presence or absence of a polyp based on their own medical judgment. SKOUT is not intended to replace a full patient evaluation, nor is it intended to be relied upon to make a primary interpretation of endoscopic procedures, medical diagnosis, or recommendations of treatment/course of action for patients. SKOUT is indicated for white light colonoscopy only.
# Design Changes
Hardware architecture changes: The multi piece tethered system of the predicate to a single box containing all of the components. Some of the components included in the subject device have been updated to improve component longevity and image quality performance.
Software architecture changes: To support the updated hardware design the software was updated in addition to improvements to image handling for image quality performance and error handling for improved usability performance.
# Non-Clinical Testing
- Software verification and validation was conducted on the SKQUT System software to validate it for its intended use per the design documentation in line with recommendations outlined in General Principles of Software Validation, Guidance for Industry and FDA Staff. The SKOUT software demonstrated passing results on all applicable testing.
- . Electrical Safety Electromagnetic Compatibility the SKOUT system was evaluated for compliance to the following FDA-Recognized Consensus Standards:
- IEC 60601-1:2005, AMD 1:2012 Medical electrical equipment Part 1: General о requirements for basic requirements for basic safety and essential performance
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- IEC 60601-1-2: 2014 Medical electrical equipment Part 1-2: General requirements for o basic requirements for basic safety and essential performance - Collateral standard: Electromagnetic compatibility – Requirements and tests
- IEC 60601-2-18: 2009 Medical electrical equipment Part 2-24: Particular requirements o for the basic safety and essential performance of endoscopic equipment
- Human factors validation was performed following the FDA Guidance document Applying Human Factors and Usability Engineering to Medical Devices, Guidance for Industry and FDA Staff recommendations. The human factors validation demonstrated that the device functioned as intended, use-related risk has been mitigated, and the SKOUT system is safe for its intended use.
# Summary of Technological Characteristics
The predicate device represents a previous revision of the subject device, SKOUT System FDA cleared via K213686 on August 12, 2022.
| | Subject Device SKOUT System | Predicate Device SKOUT System<br>(K213686) |
|----------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Intended Use | A gastrointestinal lesion software<br>detection system is a computer-<br>assisted detection device used in<br>conjunction with endoscopy for the<br>detection of abnormal lesions in the<br>gastrointestinal tract. This device with<br>advanced software algorithms brings<br>attention to images to aid in the<br>detection of lesions. The device has<br>hardware components to support<br>interfacing with an endoscope. | Same - A gastrointestinal lesion<br>software detection system is a<br>computer-assisted detection device<br>used in conjunction with endoscopy for<br>the detection of abnormal lesions in the<br>gastrointestinal tract. This device with<br>advanced software algorithms brings<br>attention to images to aid in the<br>detection of lesions. The device has<br>hardware components to support<br>interfacing with an endoscope. |
| Indications for<br>Use | The SKOUT system is a software<br>device designed to detect potential<br>colorectal polyps in real time during<br>colonoscopy examinations. It is<br>indicated as a computer-aided<br>detection tool providing colorectal<br>polyps location information to assist<br>qualified and trained<br>gastroenterologists in identifying<br>potential colorectal polyps during<br>colonoscopy examinations in adult<br>patients undergoing colorectal cancer<br>screening or surveillance.<br><br>The SKOUT system is only intended to<br>assist the gastroenterologist in<br>identifying suspected colorectal polyps<br>and the gastroenterologist is<br>responsible for reviewing SKOUT<br>suspected polyp areas and confirming<br>the presence or absence of a polyp<br>based on their own medical judgment.<br>SKOUT is not intended to replace a full<br>patient evaluation, nor is it intended to<br>be relied upon to make a primary | Same - The SKOUT system is a<br>software device designed to detect<br>potential colorectal polyps in real time<br>during colonoscopy examinations. It is<br>indicated as a computer-aided<br>detection tool providing colorectal<br>polyps location information to assist<br>qualified and trained<br>gastroenterologists in identifying<br>potential colorectal polyps during<br>colonoscopy examinations in adult<br>patients undergoing colorectal cancer<br>screening or surveillance.<br><br>The SKOUT system is only intended to<br>assist the gastroenterologist in<br>identifying suspected colorectal polyps<br>and the gastroenterologist is<br>responsible for reviewing SKOUT<br>suspected polyp areas and confirming<br>the presence or absence of a polyp<br>based on their own medical judgment.<br>SKOUT is not intended to replace a full<br>patient evaluation, nor is it intended to<br>be relied upon to make a primary |
| | Subject Device SKOUT System | Predicate Device SKOUT System<br>(K213686) |
| | interpretation of endoscopic<br>procedures, medical diagnosis, or<br>recommendations of treatment/course<br>of action for patients. SKOUT is<br>indicated for white light colonoscopy<br>only. | interpretation of endoscopic<br>procedures, medical diagnosis, or<br>recommendations of treatment/course<br>of action for patients. SKOUT is<br>indicated for white light colonoscopy<br>only. |
| User Population | Adult patients undergoing colorectal<br>cancer screening or surveillance<br>colonoscopy. | Same - Adult patients undergoing<br>colorectal cancer screening or<br>surveillance colonoscopy. |
| Technological<br>Characteristics | The SKOUT system is composed of a<br>single piece hardware design and<br>software designed to highlight portions<br>of the colon where the device detects<br>potential colorectal polyps. | Similar - The SKOUT system is<br>composed of a multi piece hardware<br>design and software designed to<br>highlight portions of the colon where<br>the device detects potential colorectal<br>polyps. |
| Software<br>Algorithm | The SKOUT system utilizes an artificial<br>intelligence-based algorithm to perform<br>the polyp detection function. | Same - The SKOUT system utilizes an<br>artificial intelligence-based algorithm to<br>perform the polyp detection function. |
| Power Source | Hospital mains power | Same - Hospital mains power |
| Safety Features | The Mode Selection Button allows for<br>instantaneous toggling between the<br>SKOUT video feed and the bypass<br>video feed in the event of software<br>error that affects video quality. | Similar - The Video Display Switch<br>allows for instantaneous toggling<br>between the SKOUT video feed and<br>the standard video feed in the event of<br>software error that affects video quality. |
| | The polyp detection marker is disabled<br>if a biopsy tool enters the field of view<br>to prevent obstruction of the area of<br>interest during intervention. | The polyp detection marker is disabled<br>if a biopsy tool enters the field of view<br>to prevent obstruction of the area of<br>interest during intervention. |
| | SKOUT system GUI also has a device<br>status indicator, the subject device has<br>an additional GUI feature that notifies<br>users of the current device status<br>(active or error):<br>a two-dimensional green box<br>with letter (S) when the device<br>is powered on and actively<br>processing video. a two-dimensional gray box<br>with letter (S) when a surgical<br>tool is present. a red (X) with an error<br>message; when there is an<br>error with the video processing<br>function of the SKOUT®<br>system, the green box will be<br>replaced with a red X and error<br>message to indicate an error | SKOUT system GUI also has a device<br>status indicator, a green square,<br>located in the top left corner of the<br>SKOUT video feed. This GUI feature is<br>an additional check to the user that the<br>SKOUT system is on and in use, even<br>when polyp detection notifications are<br>not on the screen to prevent undesired<br>use of the AI. |
| | Subject Device SKOUT System | Predicate Device SKOUT System<br>(K213686) |
| Device Output | SKOUT system generates markers in<br>the form of blue rectangles<br>superimposed on the endoscopic video<br>when potential colorectal polyps are<br>identified. SKOUT markers are not<br>accompanied by a sound. | Same - SKOUT system generates<br>markers in the form of blue rectangles<br>superimposed on the endoscopic video<br>when potential colorectal polyps are<br>identified. SKOUT markers are not<br>accompanied by a sound. |
| | The polyp detection marker is disabled<br>if a biopsy tool enters the field of view<br>to prevent obstruction of the area of<br>interest during intervention. | The polyp detection marker is disabled<br>if a biopsy tool enters the field of view<br>to prevent obstruction of the area of<br>interest during intervention. |
| Compatible<br>Endoscopes | Olympus EVIS EXERA III and FUJI<br>EC760 series | Same - Olympus EVIS EXERA III and<br>FUJI EC760 series |
| Video Delay | Assessment of video delay due to<br>marker annotation; SDI 0.0ms (error<br>1.1ms )<br>Assessment of video delay due to<br>device; SDI 0.0ms (error 1.1ms)<br>Subject device does not have DVI<br>input. | Similar - Assessment of video delay due to marker annotation; 56.00ms<br>(95% CI: 50.54,<br>61.46) and 3.25 (95% CI: 2.93, 3.56)<br>frame delay for Serial Digital Interface<br>(SDI) and 62.33ms (95% CI: 60.76,<br>63.90) and 3.74 (95% CI: 3.65, 3.83)<br>frame delay for Digital Visual Interface<br>(DVI).<br><br>Assessment of real-time endoscopic<br>video delay due to the device; 56.67ms<br>(95% CI: 51.01, 62.33) and 3.28 (95%<br>CI: 2.96, 3.62) frame delay for SDI and<br>60.67ms (95% CI: 57.72, 63.61) and<br>3.64 (95% CI: 3.46, 3.81) frame delay<br>for DVI. |
| Pixel Level<br>Degradation | No pixel level degradation is introduced<br>by SKOUT to the Endoscopic System. | Similar - No visually detectable<br>differences between images were<br>found with the introduction of the<br>SKOUT system @ |
#### Table 1: Technological Characteristics Comparison
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The hardware and software differences to the subject device that result in improved performance, these differences do not introduce new questions of safety or effectiveness.
# Conclusions
The SKOUT system has the same intended use, indications for use, technological characteristics, and principles of operation as its predicate device. The minor differences in hardware design and software do not affect its safety and effectiveness when used as labeled. The algorithm between the two devices remains the same, therefore clinical performance remains unchanged. Performance data demonstrates that the SKOUT system is as safe and effective as the predicate device. Thus, the SKOUT system can be considered substantially equivalent.
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.