VRNT is a prescription-use immersive virtual reality system intended to provide adjunctive treatment based on cognitive behavioral therapy skills and other evidence-based behavioral methods for patients (age 18 and older) with a diagnosis of chronic lower back-pain (defined as moderate to severe pain lasting longer than three months). The device is intended for in-home use for the reduction of pain and pain interference associated with chronic lower back pain.
Device Story
VRNT is an immersive virtual reality (VR) system for in-home chronic pain management. It delivers an 8-week, 40-session behavioral therapy program (5 days/week, 7-27 minutes/session). The system uses pre-loaded proprietary content on a Meta Quest 3s VR headset. The program progresses from basic pain science education, breathing, and mindfulness to advanced skills like interoception, passive distraction, thought appraisal, and emotion trigger management. Patients practice self-regulation skills in simulated scenarios. The device is operated by the patient at home. Healthcare providers prescribe the system to help patients modify thinking and behavioral patterns related to chronic pain. The output is an immersive, interactive therapeutic experience that provides education and skills training to reduce pain interference.
Clinical Evidence
No clinical data. Substantial equivalence established through non-clinical bench testing, including software verification, validation, and risk management activities per ISO 14971. Testing confirmed that the modified hardware meets all functional requirements and performance specifications equivalent to the predicate.
Technological Characteristics
System consists of Meta Quest 3s VR headset (dual LCD, 2064x2208 per eye, 6 DoF inside-out tracking, 72-120Hz refresh rate) and proprietary software. Therapy is delivered via immersive VR. Software is pre-loaded. Cybersecurity controls and risk management implemented per ISO 14971. Basic documentation level software.
Indications for Use
Indicated for patients age 18+ with chronic lower back pain (moderate to severe, duration >3 months) as an adjunctive treatment for pain reduction and pain interference reduction.
Regulatory Classification
Identification
A virtual reality behavioral therapy device for pain relief is a device intended to provide behavioral therapy for patients with pain. Therapy is administered via a virtual reality display that utilizes a software program containing the behavioral therapy content.
Special Controls
*Classification.* Class II (special controls). The special controls for this device are:(1) Clinical performance testing under the labeled conditions for use must validate the model of behavioral therapy as implemented by the device and evaluate all adverse events.
(2) The patient-contacting components of the device must be demonstrated to be biocompatible.
(3) Software verification, validation, and hazard analysis must be performed.
(4) Electromagnetic compatibility and electrical, mechanical, and thermal safety testing must be performed.
(5) Labeling must include the following:
(i) A warning regarding the risk of nausea and motion sickness;
(ii) A warning regarding the risk of discomfort from the device; and
(iii) A summary of the clinical testing with the device.
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FDA U.S. FOOD & DRUG ADMINISTRATION
April 10, 2026
Cognifisense, Inc.
Amanda Way
CEO & President
1271 Lakeside Drive, Apt. 3121
Sunnyvale, California 94085
Re: K254004
Trade/Device Name: VRNT
Regulation Number: 21 CFR 890.5800
Regulation Name: Virtual reality behavioral therapy device for pain relief
Regulatory Class: Class II
Product Code: QRA
Dated: January 9, 2026
Received: January 9, 2026
Dear Amanda Way:
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.
U.S. Food & Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993
www.fda.gov
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K254004 - Amanda Way
Page 2
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).
Your device is also subject to, among other requirements, the Quality Management System Regulation (QMSR) (21 CFR Part 820), which includes, but is not limited to, ISO 13485 clause 7.3 (Design controls), ISO 13484 clause 8.3 (Nonconforming product), and ISO 13485 clause 8.5 (Corrective and preventative action). Please note that regardless of whether a change requires premarket review, the QMSR requires device manufacturers to review and approve changes to device design and production (ISO 13485 clause 7.3 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 Management System Regulation (QMSR) (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-
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K254004 - Amanda Way
Page 3
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).
Sincerely,
CHUN XU -S
For Amber Ballard, PhD
Assistant Director
DHT5B: Division of Neuromodulation and
Physical Medicine 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 (8/23)
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: 07/31/2026 See PRA Statement below. |
| --- | --- |
| 510(k) Number (if known) K254004 | |
| Device Name VRNT | |
| Indications for Use (Describe) VRNT is a prescription-use immersive virtual reality system intended to provide adjunctive treatment based on cognitive behavioral therapy skills and other evidence-based behavioral methods for patients (age 18 and older) with a diagnosis of chronic lower back-pain (defined as moderate to severe pain lasting longer than three months). The device is intended for in-home use for the reduction of pain and pain interference associated with chronic lower back pain. | |
| 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." | |
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CognifiSense, Inc.
Page 1 of 4
Date Prepared: April 10, 2026
Manufacturer/Submitter: CognifiSense Inc.
1271 Lakeside Drive, Suite 3121
Sunnyvale, CA 94085
Contract: Amanda Way
President and CEO
CognifiSense, Inc.
Tel: 401-659-7016
Email: amanda@cognifisense.com
Device Information:
Trade Name: VRNT
Classification Name: Virtual reality behavioral therapy device for pain relief
Device Class: II
Product Code: QRA
Regulation Number: 21 CFR 890.5800
Panel: Neurology
Predicate Device: VRNT (K230814)
Reason for submission: Device Modification
Device Description
VRNT is an immersive virtual reality (VR) system which delivers behavioral therapy content for the treatment of chronic pain via virtual reality hardware. VRNT is a prescription-use device containing pre-loaded, proprietary content on commercially available VR hardware. The behavioral content incorporates cognitive behavioral therapy (CBT) skills and other evidence-based behavioral methods.
VRNT is designed to be used in an 8-week treatment program which delivers a multifaceted combination of pain management skills training through a sequence of daily sessions (5 days a week) ranging from 7-27 minutes in length (average of 20 minutes). Similar to multisession behavioral treatments, the treatment program begins with basic skills and progresses to more advanced skills over the 8 weeks. Initial themes in VRNT are focused on understanding the basic science behind chronic pain and developing rudimentary breathing, bodily awareness and mindfulness, relaxation and interoception skills. Later themes build on these skills; they expand on interoception, add passive distraction and refocusing attention, thought appraisal skills, as well as skills for managing emotion triggers. Finally, the program provides opportunities to practice applying the education and self-regulation skills when faced with actual pain triggers. The treatment content, thus, allows the patient over time to build upon education, skills training and their own experiential learning in a manner that increasingly mimics real-world situations.
Indications for Use:
VRNT is a prescription-use immersive virtual reality system intended to provide adjunctive treatment based on
{5}
cognitive behavioral therapy skills and other evidence-based behavioral methods for patients (age 18 and older) with a diagnosis of chronic lower back-pain (defined as moderate to severe pain lasting longer than three months).
The device is intended for in-home use for the reduction of pain and pain interference associated with chronic lower back pain.
## Comparison of Technological Characteristics with the Predicate Device
The subject device, VRNT (ver 2.5), is substantially equivalent to the predicate device (VRNT ver 2.24) cleared under K230814. The indication for use (IFU) statements of the subject and the predicate devices are identical.
The devices are intended for in-home use for the reduction of pain and pain interference associated with chronic lower back pain. The devices also are equivalent in their technological principles of operation, in that both administer therapy via a virtual reality system which utilizes a software program containing content that targets behavior change based on substantially similar principles; specifically, cognitive behavioral therapy (CBT) and other evidence-based behavioral methods. Finally, the virtual reality hardware used by the two systems has performance specifications that are substantially equivalent for the given type of application. i.e., therapy program.
The modified device is unchanged since the K230814 predicate device, except for the Virtual Reality (VR) headset. The modified device uses VR Headset Meta Quest, whereas the predicate device uses Samsung Gear VRx.
| Table 1. Substantial Equivalence Summary Table | | | |
| --- | --- | --- | --- |
| Criteria | VRNT (Ver 2.24, Predicate Device) | VRNT (Ver 2.5, Subject Device) | Comment |
| Classification/Product Code | 890.5800 QRA
Virtual Reality Behavioral Therapy Device for Pain Relief | 890.5800 QRA
Virtual Reality Behavioral Therapy Device for Pain Relief | The same |
| Physical State | Virtual reality display, software | Virtual reality display, software | The same |
| Technical Method | Uses a virtual reality display to provide behavioral-based treatment to patients with chronic pain by modifying the patient's thinking and behavioral patterns | Uses a virtual reality display to provide behavioral-based treatment to patients with chronic pain by modifying the patient's thinking and behavioral patterns | The same |
| Target Area | Areas of pain (lower back pain) | Areas of pain (lower back pain) | The same |
| Intended Use | Virtual reality behavioral therapy device for chronic lower back pain relief | Virtual reality behavioral therapy device for chronic lower back pain relief | The same |
| Indications for use | Prescription-use immersive virtual reality system intended to provide adjunctive treatment based on cognitive behavioral therapy skills and other evidence-based behavioral methods for patients (age 18 and older) with a diagnosis of chronic lower back pain (defined as moderate to severe pain lasting longer than three months).
The device is intended for in-home use for the reduction of pain and pain interference associated with chronic lower back pain. | Prescription-use immersive virtual reality system intended to provide adjunctive treatment based on cognitive behavioral therapy skills and other evidence-based behavioral methods for patients (age 18 and older) with a diagnosis of chronic lower back pain (defined as moderate to severe pain lasting longer than three months).
The device is intended for in-home use for the reduction of pain and pain interference associated with chronic lower back pain. | The same |
| Technological characteristics | Virtual reality display (i.e., hardware): Samsung GearVR Headset + Controller + Samsung Galaxy S9 | Virtual reality display (i.e., hardware): Meta Quest 3s | Different.
The subject and predicate devices use different |
CognifiSense, Inc.
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CognifiSense, Inc.
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| | HTC Vive + VR-ready PC (used only in Onboarding)
Parameters: Not publicly available. | HTC Vive + VR-ready PC (used only in Onboarding)
Parameters (Meta Quest 3S):
**Display / Resolution:**
Dual LCD displays 2064 × 2208 pixels per eye.
**Field of View (FOV):**
~110" horizontal, 96" vertical (wide immersive view)
**Interpupillary Distance (IPD) Adjustment:**
Mechanical continuous slider from ~53–75 mm for precise fit
**Degrees of Freedom (DOF):**
6 DoF headset + controllers; supports inside-out tracking (positional + orientation)
**Optics / Lenses:**
Advanced pancake lenses for slimmer optics and improved clarity across edges
**Tracking Method:**
Inside-out optical tracking using multiple cameras + IMU (no external sensors)
**Refresh Rate:**
72, 90, 120 Hz | hardware, but each hardware set provides the same level of functionality, salient performance, and level of immersion necessary for VRNT.
The ability to view all contents, progress through all screens and components of the therapy as well as the ability to interact with all elements of the user interface were thoroughly evaluated as part of the V&V testing. The same specifications and acceptance criteria, and verification methods were used for both the modified and predicate versions. |
| --- | --- | --- | --- |
| **Therapy Approach and dosage** | VRNT is an 8-week program, 5 days / week, totaling 40 sessions, each lasting 7-27 minutes (20-minute average)
Optional additional sessions. | VRNT is an 8-week program, 5 days / week, totaling 40 sessions, each lasting 7-27 minutes (20-minute average)
Optional additional sessions | Same |
| **VR Therapy content** | Treatment content includes:
• Pain Education
• Relaxation/interoception
• Mindful escapes and Attention (re)focusing
• Diaphragmatic breathing
• Graded exposure therapy
• Practicing self-regulatory techniques when facing pain triggers | Treatment content includes:
• Pain Education
• Relaxation/interoception
• Mindful escapes and Attention (re)focusing
• Diaphragmatic breathing
• Graded exposure therapy
• Practicing self-regulatory techniques when facing pain triggers | Same |
## Performance Data.
Performance data including Software verification, validation, hazard analysis, and compliance with special controls supporting substantial equivalence and addressing the differences of the VR hardware.
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CognifiSense’s VRNT device was subjected to design verification and design validation activities utilizing various methods and techniques. The software was inspected, reviewed and tested by multiple individuals to demonstrate that the device modifications meet all the functional and performance requirements defined in the Software Requirements Specifications (SRS) and Software Development Specifications (SDS), and to ensure that all control measures identified during risk management activities have been properly implemented and are as effective as the predicate device.
Risk Management activities were conducted in accordance with ISO 14971 to assure that all risk related to use of VRNT, including use related risks and cybersecurity risks, are appropriately controlled. All control measures were verified and found to be as effective as the predicate device.
Tasks completed to verify device software safety and performance include:
- Comprehensive end-to-end assessment of all functional requirements and software operation. This testing also verifies the ability to view all contents, progress through all screens and components of the therapy as well as the ability to interact with all elements of the user interface to address hardware differences. The same specifications and acceptance criteria, and verification methods were used for both the modified and predicate versions.
- Risk Management lifecycle activities performed in accordance with ISO 14971.
- Anomaly Reporting and Resolution (analysis and disposition of unresolved issues).
- Traceability Analysis (tracing software requirements and risk control measures to the verification and validation testing as part of the Design Control process).
- Software Documentation: submission contains documentation for software with Basic Documentation level, as outlined in the FDA guidance document. Documentation includes software description, software requirements specification, traceability, revision level history, and cybersecurity providing the foundation that the software will operate in a manner as described in the specifications. A hazard analysis was performed to characterize software risks including device malfunction and measurement related errors.
## Clinical Testing
Substantial equivalence of the subject device to the predicate has been established through the results of nonclinical testing.
## Substantial Equivalence Conclusion
The subject device VRNT has the same intended use, indications for use, and principles of operation, and equivalent technological characteristics as the predicate device. The technological differences identified do not raise different questions of safety or effectiveness compared to the predicate device. Therefore, the subject device is substantially equivalent to the predicate device
CognifiSense, Inc.
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Learn the FDA Browser
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.