A wrist-worn activity monitor designed for documenting physical movement associated with applications in physiological monitoring. The device is intended to monitor the activity associated with movement during sleep and make estimates of sleep quantity/quality using accelerometry, based on actigraph algorithms designed specifically for the device's unique signal processing techniques. Can be used to analyze circadian rhythms and assess activity in any instance where quantifiable analysis of physical motion is desirable. The results of the processed data are graphical and numerical presentations and reports of sleep latency, sleep duration, sleep quality and circadian rhythms for the use by or on the order of physicians, trained technicians, or other healthcare professionals. The Sleep Watch System is intended for use on a general-purpose computing platform, it does not issue any alarms. The Sleep Watch System is intended for use in the natural environment for passive, noninvasive, data collection of physiological parameters that will later be transmitted to a SaaS platform for remote review by a clinician. The Sleep Watch® device is intended for use in children and older.
Device Story
Wrist-worn monitor; collects accelerometer, gyroscope, PPG, temperature, and light data. Processes signals via proprietary actigraphy algorithms; stores raw data in eMMC. Transmits data via BLE/Wi-Fi to AMI Cloud SaaS platform. Used in home environments by patients; data reviewed by clinicians via web dashboard. Outputs include sleep latency, duration, quality, circadian rhythm metrics (MESOR, amplitude, acrophase), and PVT results. Facilitates sleep disorder evaluation; no physiological alarms. Benefits include passive, noninvasive, remote physiological data collection.
Clinical Evidence
Bench testing only. Includes software verification/validation, design traceability, and design validation simulating intended use. Cybersecurity and data security testing performed. Compliance with IEC 62304, ISO 14971, and various electrical safety/EMC standards (IEC 60601 series).
Technological Characteristics
Wrist-worn form factor; materials: glass lens and plastic. Sensors: accelerometer, gyroscope, PPG (R/G/IR), temperature, light. Connectivity: BLE, Wi-Fi. Power: internal rechargeable battery. Software: proprietary actigraphy algorithms. Standards: IEC 60601-1, IEC 60601-1-2, IEC 60601-1-11, IEC 60601-1-6, ISO 80601-2-61, ISO 10993-1.
Indications for Use
Indicated for children and older patients requiring physiological monitoring of movement during sleep, circadian rhythm analysis, and activity assessment in home environments.
Regulatory Classification
Identification
A biofeedback device is an instrument that provides a visual or auditory signal corresponding to the status of one or more of a patient's physiological parameters (e.g., brain alpha wave activity, muscle activity, skin temperature, etc.) so that the patient can control voluntarily these physiological parameters.
Special Controls
*Classification.* Class II (special controls). The device is exempt from the premarket notification procedures in subpart E of part 807 of this chapter when it is a prescription battery powered device that is indicated for relaxation training and muscle reeducation and prescription use, subject to § 882.9.
{0}
FDA U.S. FOOD & DRUG ADMINISTRATION
July 31, 2025
Ambulatory Monitoring, Inc.
Paul Chen
CTO
731 Saw Mill River Road
Ardsley, New York 10502
Re: K251574
Trade/Device Name: Sleep Watch
Regulation Number: 21 CFR 882.5050
Regulation Name: Biofeedback Device
Regulatory Class: Class II
Product Code: LEL
Dated: May 22, 2025
Received: May 22, 2025
Dear Paul Chen:
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 (the 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 available 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.
Additional information about changes that may require a new premarket notification are provided in the FDA guidance documents entitled "Deciding When to Submit a 510(k) for a Change to an Existing Device" (https://www.fda.gov/media/99812/download) and "Deciding When to Submit a 510(k) for a Software Change to an Existing Device" (https://www.fda.gov/media/99785/download).
U.S. Food & Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993
www.fda.gov
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K251574 - Paul Chen
Page 2
Your device is also subject to, among other requirements, the Quality System (QS) regulation (21 CFR Part 820), which includes, but is not limited to, 21 CFR 820.30, Design controls; 21 CFR 820.90, Nonconforming product; and 21 CFR 820.100, Corrective and preventive action. Please note that regardless of whether a change requires premarket review, the QS regulation requires device manufacturers to review and approve changes to device design and production (21 CFR 820.30 and 21 CFR 820.70) and document changes and approvals in the device master record (21 CFR 820.181).
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 (reporting of medical device-related adverse events) (21 CFR Part 803) for devices or postmarketing safety reporting (21 CFR Part 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reporting-combination-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 Part 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR Parts 1000-1050.
All medical devices, including Class I and unclassified devices and combination product device constituent parts are required to be in compliance with the final Unique Device Identification System rule ("UDI Rule"). The UDI Rule requires, among other things, that a device bear a unique device identifier (UDI) on its label and package (21 CFR 801.20(a)) unless an exception or alternative applies (21 CFR 801.20(b)) and that the dates on the device label be formatted in accordance with 21 CFR 801.18. The UDI Rule (21 CFR 830.300(a) and 830.320(b)) also requires that certain information be submitted to the Global Unique Device Identification Database (GUDID) (21 CFR Part 830 Subpart E). For additional information on these requirements, please see the UDI System webpage at https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance/unique-device-identification-system-udi-system.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 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-devices/medical-device-safety/medical-device-reporting-mdr-how-report-medical-device-problems.
For comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medical-devices/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-devices/device-advice-comprehensive-regulatory-assistance/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).
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K251574 - Paul Chen
Page 3
Sincerely,
JAY R. GUPTA -S
Jay Gupta
Assistant Director
DHT5A: Division of Neurosurgical, Neurointerventional, and Neurodiagnostic Devices
OHT5: Office of Neurological and Physical Medicine Devices
Office of Product Evaluation and Quality
Center for Devices and Radiological Health
Enclosure
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FORM FDA 3881 (6/20)
Page 1 of 1
PSC Publishing Services (301) 443-6740
EF
| DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration Indications for Use | Form Approved: OMB No. 0910-0120 Expiration Date: 06/30/2023 See PRA Statement below. |
| --- | --- |
| 510(k) Number (if known) K251574 | |
| Device Name Sleep Watch | |
| Indications for Use (Describe) A wrist-worn activity monitor designed for documenting physical movement associated with applications in physiological monitoring. The device is intended to monitor the activity associated with movement during sleep and make estimates of sleep quantity/quality using accelerometry, based on actigraph algorithms designed specifically for the device's unique signal processing techniques. Can be used to analyze circadian rhythms and assess activity in any instance where quantifiable analysis of physical motion is desirable. | |
| The results of the processed data are graphical and numerical presentations and reports of sleep latency, sleep duration, sleep quality and circadian rhythms for the use by or on the order of physicians, trained technicians, or other healthcare professionals. | |
| The Sleep Watch System is intended for use on a general-purpose computing platform, it does not issue any alarms. The Sleep Watch System is intended for use in the natural environment for passive, noninvasive, data collection of physiological parameters that will later be transmitted to a SaaS platform for remote review by a clinician. The Sleep Watch® device is intended for use in children and older. | |
| Type of Use (Select one or both, as applicable) ☑ Prescription Use (Part 21 CFR 801 Subpart D) ☐ Over-The-Counter Use (21 CFR 801 Subpart C) | |
| 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." | |
{4}
510(K) Summary
# 510(K) Summary
Prepared in accordance with 21 CFR 807.92
# 1. Submitter
Name: Ambulatory Monitoring Inc.
Contact Person: Paul Chen
paul.chen@ambulatory-monitoring.com
Address & Phone: 731 Saw Mill River Road
Ardsley, NY 10502
Phone: 914 693 9240
Date: June 30, 2025
# 2. Subject Device
Device Name: Sleep Watch®
Model Number: V1.0
Common Name: Device, Sleep Assessment
Regulation Number: 21 CFR 882.5050
Regulation Name: Biofeedback Device
Regulatory Class: 2
Product Code: LEL
Review Panel: Neurology
# 3. Predicate Device
| Predicate Device | Device Name | Submitter | Product Code | 510(k) Number |
| --- | --- | --- | --- | --- |
| Primary | Wrist Actigraph | Ambulatory Monitoring, Inc. | LEL | K854030 |
The predicate devices have not been subject to a design-related recall.
# 4. Device Description
The Sleep Watch® is a wrist-worn device that monitors activity, temperature, and light exposure, it can be used to analyze sleep quantity and quality, circadian rhythms, automatically collect and store data for sleep parameters, and assess activity, intended for use by or on the order of a Healthcare Professional to aid in the evaluation of sleep disorders based on Actigraphy recordings, typically collected during sleep.
The results of the processed data are graphical and numerical presentations and reports of sleep latency, sleep duration, sleep quality and circadian rhythms for the use by or on the order of physicians, trained technicians, or other healthcare professionals.
Ambulatory Monitoring Inc,
{5}
510(K) Summary
The Sleep Watch System is intended for use on a general-purpose computing platform; it does not issue any alarms.
The Sleep Watch® system consists of:
- The Sleep Watch® built-in with accelerometer, gyroscope, PPG, temperature, and light sensors, as well as BLE and WiFi chips.
- The Sleep Watch® collects raw data from each sensor.
- The Sleep Watch® processes signals with filters and stores raw data in eMMC storage.
- Psychomotor Vigilance Task (PVT)
- An App manages Sleep Watches
- A web Application Programming Interface (API) to allow authenticated users to upload data collected from Sleep Watch® to AMI Cloud Platform
- A database to store the input, intermediate output, final output and associated data.
- A web-based database API to access the database and get outputs.
- A dashboard, a web-based user interface, to display, retrieve, manage, edit, verify, and summarize Sleep Watch® outputs.
- Proprietary algorithms to analyze actigraphy.
- A reporting API to generate sleep reports.
The Sleep Watch System is intended for patients in the home environment for passive, noninvasive, data collection of physiological parameters that will later be transmitted to a SaaS platform for remote review by a clinician. The Sleep Watch® device is intended for use in children and older.
The Sleep Watch System measures and records:
- PPG (Red, Green, Infrared) raw data
- Accelerometer (X, Y, X) and Gyroscope (Vx, Vy, Vz) raw data
- Light (R, G, B) data
- ZCM (Zero Crossing Mode)
- PIM (Proportional Integrating Measure)
- Estimate Sleep and Wake
- PVT test results
- Skin Temperatures
- MESOR (Midline Estimated Statistic of Rhythm), amplitude, and acrophase
The Sleep Watch allows for on-wrist and/or in-App rating scales (0 to 10), with experimenter selectable initial value (0,5,10) and/or questionnaires (each limited by the constraints of readability). These features should be on-demand, according to an experimenter's selected schedule, or both.
The Sleep Watch device does not provide physiological alarms.
# 5. Indications For Use
A wrist-worn activity monitor designed for documenting physical movement associated with applications in physiological monitoring. The device is intended to monitor the activity associated with movement during sleep and make estimates of sleep quantity/quality using accelerometer, based on actigraph
Ambulatory Monitoring Inc,
{6}
510(K) Summary
algorithms designed specifically for the devices unique signal processing techniques. Can be used to analyze circadian rhythms and assess activity in any instance where quantifiable analysis of physical motion is desirable.
The results of the processed data are graphical and numerical presentations and reports of sleep latency, sleep duration, sleep quality and circadian rhythms for the use by or on the order of physicians, trained technicians, or other healthcare professionals.
The Sleep Watch System is intended for use on a general-purpose computing platform; it does not issue any alarms.
The Sleep Watch System is intended for use in the natural environment for passive, noninvasive, data collection of physiological parameters that will later be transmitted to a SaaS platform for remote review by a clinician. The Sleep Watch® device is intended for use in children and older.
# 6. Summary of Technological Characteristics
The subject device (Sleep Watch) and the predicate device (Wrist Actigraph) have the same technological characteristics in actigraphy: both collect and analyze accelerometry for assessing sleep quantity and quality and circadian rhythms.
Technological Characteristics Comparison:
| Elements | Predicate Device Wrist Actigraph K854030 | Subject Device Sleep Watch |
| --- | --- | --- |
| Classification | LEL, Biofeedback device | LEL, Biofeedback device |
| Indications for use | A wrist-worn activity monitor designed for documenting physical movement associated with applications in physiological monitoring. The device is intended to monitor the activity associated with movement during sleep and make estimates of sleep quantity/quality using accelerometry alone, based on peer-reviewed algorithms designed specifically for the devices unique signal processing techniques. Can be used to analyze circadian rhythms and assess activity in any instance where quantifiable analysis of physical motion is desirable. | A wrist-worn activity monitor designed for documenting physical movement associated with applications in physiological monitoring. The device is intended to monitor the activity associated with movement during sleep and make estimates of sleep quantity/quality using accelerometer alone, based on proprietary algorithms designed specifically for the devices unique signal processing techniques. Can be used to analyze circadian rhythms and assess activity in any instance where quantifiable analysis of physical motion is desirable. The results of the processed data are graphical and numerical presentations and reports of sleep latency, sleep duration, sleep quality and circadian rhythms for the use by or on the order of physicians, trained technicians, or other healthcare professionals. The Sleep Watch System is intended for use on a general-purpose computing platform; it does not issue any alarms. |
Ambulatory Monitoring Inc,
{7}
510(K) Summary
| | | The Sleep Watch System is intended for use in the natural environment for passive, noninvasive, data collection of physiological parameters that will later be transmitted to a SaaS platform for remote review by a clinician. The Sleep Watch® device is intended for use in children and older. |
| --- | --- | --- |
| Intended Use | Analyze circadian rhythms and assess activity data acquired during sleep. | Analyze circadian rhythms and assess activity data acquired during sleep. |
| Patient population | Children and older | Children and older |
| Environment of use | Home environment | Home environment |
| Accelerometer | Yes | Yes |
| Gyroscope | No | Yes |
| PPG | No | Yes |
| Light Sensor | Yes | Yes |
| Temperature | Yes | Yes |
| PVT | Yes | Yes |
| ZCM | Yes | Yes |
| PIM | Yes | Yes |
| Estimate sleep/wake | Yes | Yes |
| BLÉ | No | Yes |
| Wi-Fi | No | Yes |
| Parameter Sampling Frequency | Continuous measuring and recording actigraphy data | Continuous measuring and recording of physiological data |
| Standards Compliance | N/A | IEC 60601-1
IEC 60601-1-2
IEC 60601-1-11
IEC 60601-1 -6
ISO 80601-2-61
ISO 10993-1 |
| User Interface | Wristwatch | Wristwatch |
| Power source | Removable Battery | Internal rechargeable batteries |
| Data Communication | Infrared | Wi-Fi and/or App (Bluetooth) to AMI
SaaS platform |
Ambulatory Monitoring Inc,
{8}
510(K) Summary
| Type of Protection | Type BF | Type BF |
| --- | --- | --- |
| Patient contacting materials | Stainless steel and plastic | Glass lens and Plastic |
| Biocompatibility | Compliant to ISO 10993-1 | Compliant to ISO 10993-1 |
| Physical Characteristics | Wristwatch | Wristwatch |
| Cybersecurity | Authentication controls, access controls, software distribution controls. | Authentication controls, authorization controls, cryptographic controls, access controls, checksum controls, software distribution controls, intrusion detection system controls, network and systems controls, and database controls. |
## 7. Performance Data
Ambulatory Monitoring conducted the necessary non-clinical testing and bench testing on the Sleep Watch with past results supporting the determination of substantial equivalence. Performance testing and activities that were conducted included the followings:
- Software verification and validation which included software code reviews, automated testing, acceptance testing and labeling review.
- Design traceability confirms all requirement tracing is complete from design inputs to verification/validation and that all risk controls are implemented.
- Design verification testing which confirmed that all software requirements are developed as expected
- Design validation testing which simulated the intended use to confirm that the end-to-end functionality of the Sleep Watch in conjunction with the actigraphy algorithms meets the design requirements
- A cybersecurity and data security testing were conducted to verify that data and patient protected health information security measures are thoroughly included in the design of the software.
## Non-clinical Testing
Safety and performance of the Sleep Watch have been verified and validated through system testing and verification. Software development and testing were performed in accordance with "IEC 62304:2006/A1:2015, Medical Device Software – Software life cycle processes". Risk has been assessed in accordance with "ISO 14971:2007, Medical Devices – Application of Risk Management to Medical Devices". During software testing, all pre-defined acceptance criteria for the Sleep Watch were met and all software test cases passed. The same verification and validation methodology, risk assessment and acceptance criterion were used for predicate device.
## Bench Testing
Ambulatory Monitoring Inc,
{9}
510(K) Summary
The Sleep Watch was designed, evaluated, and validated in accordance with current FDA-recognized standards, including:
- ANSI/AAMI ES60601-1 Medical Electrical Equipment – Part 1: General Requirements for Basic Safety and Essential Performance
- IEC 60601-1-2 Medical Electrical Equipment Part 1-2: General Requirements for Basic Safety and Essential Performance – Collateral Standard: Electromagnetic Disturbances – Requirements and Tests
- IEC 60601-1-11 Medical Electrical Equipment Part 1-11: General Requirements for Basic Safety and Essential Performance – Collateral Standard: Requirements for Medical Electrical Equipment and Medical Electrical Systems Used in the Home Healthcare Environment
- AAMI TIR69 Technical Information Report Risk Management of Radio-Frequency Wireless Coexistence for Medical Devices and Systems
- ANSI/IEEE C63.27 American National Standard for Evaluation of Wireless Coexistence
- IEC 62304 Medical Device Software – Software Life Cycle Processes
- AIM 7351731 Medical Electrical Equipment and System Electromagnetic Immunity Test for Exposure to Radio Frequency Identification Readers
- ANSI/UL 2900-2-1 First Edition 2017 – Standard for Safety, Software Cybersecurity for Network-Connectable Products, Part 2-1: Particular Requirements for Network Connectable Components of Healthcare and Wellness Systems
- IEC 81001-5-1 Health software and health IT systems safety, effectiveness and security - Part 5-1: Security - Activities in the product life cycle
The results of the system and performance testing validate that the Sleep Watch meets its requirements, performs as intended, and is as safe and effective as the predicate device. No new or different questions of safety or effectiveness have been raised.
## 8. Conclusion
The Sleep Watch is as safe and effective as the predicate device. Based upon the results of the system verification and validation testing, it was determined the Sleep Watch was substantially equivalent to the predicate device.
Ambulatory Monitoring Inc,
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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.