The SmartVertigo™ Vestibular Assessment System is indicated for use in the medical office, hospital, and healthcare settings for viewing and recording eye movements in patients with symptoms of dizziness caused by peripheral vestibular disorders who are under the supervision of a clinician. The device records abnormal eye movements with an iPhone camera in response to standard positional maneuvers. The device records, tracks, stores, and displays normal and abnormal eye movements, including vertical, horizontal, and torsional. This device provides no diagnosis and does not provide diagnostic recommendations. The target population is individuals 12 years of age and older.
Device Story
iPhone-based vestibular assessment system; consists of iPhone 14 Pro Max mounted in light-occluding, padded headset. Device records eye movements (horizontal, vertical, torsional) during clinician-performed positional maneuvers; eliminates visual fixation to facilitate nystagmus observation. Proprietary software aligns/crops images, guides clinician through testing workflow, and manages data. Used in medical offices/hospitals by clinicians; output viewed in real-time or stored for later review. No diagnosis provided; clinician interprets recordings to localize peripheral vestibular pathology. Benefits include standardized, high-resolution video capture of eye movements to assist clinical decision-making.
Clinical Evidence
No clinical data. Evidence consists of bench testing (photobiological safety per ANSI Z80.36-2021 and IEC 62471:2006) and a summative human factors/usability study (n=15, aged 22–58). Usability study demonstrated 100% clarity of IFU and no critical errors, with mean task success score of 43.7/50.
Technological Characteristics
Materials: PC/ABS, silicone, polyurethane, nylon/polyester. Sensing: iPhone camera. Illumination: iPhone integrated LED (17–40 lux, 5–13 cd/m²). Form factor: Headset-mounted smartphone. Connectivity: Standalone/cloud-based data management. Sterilization: N/A. Software: Mobile SaMD, IEC 62304 compliant. Safety: Exempt light source (RG0), fixed 9cm working distance.
Indications for Use
Indicated for patients 12 years and older with symptoms of dizziness caused by peripheral vestibular disorders, for use in medical offices, hospitals, and healthcare settings under clinician supervision.
Regulatory Classification
Identification
A nystagmograph is a device used to measure, record, or visually display the involuntary movements (nystagmus) of the eyeball.
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**U.S. FOOD & DRUG**
ADMINISTRATION
July 30, 2026
VertigoDx, Inc.
% Jerry Sudduth
QA/RA Consultant
Imangel Consulting, Inc.
Contact Address
Re: K260566
Trade/Device Name: SMARTVERTIGO Vestibular Assessment System
Regulation Number: 21 CFR 882.1460
Regulation Name: Nystagmograph
Regulatory Class: Class II
Product Code: GWN
Dated: June 30, 2026
Received: June 30, 2026
Dear Jerry Sudduth:
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"
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K260566 - Jerry Sudduth
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(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 13485 clause 8.3 (Nonconforming product), ISO 13485 clause 8.5.2 (Corrective action), and ISO 13485 clause 8.5.3 (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 ISO 13485 clause 7.5) and document changes and approvals in the Medical Device File (ISO 13485 clause 4.2.3).
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-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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K260566 - Jerry Sudduth
Page 3
Sincerely,
JOYCE C.
LIN-S
for Shu-Chen Peng, Ph.D.
Assistant Director
DHT1B: Division of Dental and
ENT Devices
OHT1: Office of Ophthalmic, Anesthesia,
Respiratory, ENT, and Dental Devices
Office of Product Evaluation and Quality
Center for Devices and Radiological Health
Enclosure
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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.
Submission Number (if known)
K260566
Device Name
SMARTVERTIGO™ Vestibular Assessment System
Indications for Use (Describe)
The SmartVertigo™ Vestibular Assessment System is indicated for use in the medical office, hospital, and healthcare settings for viewing and recording eye movements in patients with symptoms of dizziness caused by peripheral vestibular disorders who are under the supervision of a clinician. The device records abnormal eye movements with an iPhone camera in response to standard positional maneuvers. The device records, tracks, stores, and displays normal and abnormal eye movements, including vertical, horizontal, and torsional. This device provides no diagnosis and does not provide diagnostic recommendations.
The target population is individuals 12 years of age 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)
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# *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:
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# VertigoDx Inc
## 510(k) Summary
Device: SMARTVERTIGO™ Vestibular Assessment System
### 1. Contact Details
| Company | VertigoDx Inc |
| --- | --- |
| Adress | 3911 Concord Pike #8030, SMB#68155 Wilmington DE 19803 United States |
| Phone | 561 542 0060 |
| Contact | Trevor Meyerowitz |
| E-mail | trevor@VertigoDx.com |
| Correspondent | Imangel Consulting Inc |
| Address | 4738 SW 13th Ct Deerfield Beach FL 33442 United States |
| Phone | 954 729 1411 |
| Contact | Jerry Sudduth |
| E-mail | jsudduth999@gmail.com |
### 2. Device
| Device Name | SMARTVERTIGO™ Vestibular Assessment System |
| --- | --- |
| Common Name | Nystagmograph |
| Medical Specialty | Neurology |
| Regulation | 882.1460 |
| Classification | Class II |
| Product Code | GWN |
### 3. Device Description
The SMARTVERTIGO™ Vestibular Assessment System is an iPhone-based diagnostic aid intended for use in medical offices, hospitals, and other healthcare settings for the evaluation of patients aged 12 years and older with dizziness associated with peripheral vestibular disorders. The system consists of an Apple iPhone 14 Pro Max running iOS 16, mounted within a padded, adjustable headset that fully occludes external light to prevent visual fixation. The device records eye movements, including horizontal, vertical, and torsional nystagmus, during clinician-performed positional maneuvers. The scientific basis of the device is founded on established vestibular physiology, specifically the observation that abnormal vestibulo-ocular reflex responses produce characteristic nystagmus patterns that assist in localizing peripheral vestibular pathology. By eliminating visual fixation and enabling high-resolution video capture of the patient’s eye, the system facilitates visualization, recording, tracking, storage, and display of eye movements for physician interpretation. All diagnostic and treatment decisions remain the responsibility of the attending clinician.
The device design integrates a rigid polycarbonate/acrylonitrile-butadiene-styrene (PC/ABS) and silicone enclosure with a polyurethane-padded face cushion and adjustable nylon and nylon/polyester hook-and-loop head straps to ensure secure positioning and patient comfort. A rare earth (neodymium) magnet secures interchangeable front plates that support landscape and portrait configurations while maintaining camera alignment with the patient’s eye. The enclosed configuration blocks ambient light and stabilizes the iPhone to support consistent image acquisition. Illumination, when required, is provided by the iPhone’s integrated LED at its lowest intensity setting. Proprietary software aligns and crops the recorded image to center the pupil and guides the clinician through a structured workflow for standardized testing,
510(k) Summary
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documentation, and secure data management. No external cables or powered accessories are required, and the system relies solely on the iPhone's integrated hardware and software components to achieve its intended performance characteristics.
#### 4. Legally Marketed Predicate and Reference Devices
Predicate: DizzyDoctor® System 1.0.0 (K182214)
Reference: Insight Infrared Video Goggles (K203082)
#### 5. Intended Use/Indications for Use
The SmartVertigo™ Vestibular Assessment System is indicated for use in the medical office, hospital, and healthcare settings for viewing and recording eye movements in patients with symptoms of dizziness caused by peripheral vestibular disorders who are under the supervision of a clinician. The device records abnormal eye movements with an iPhone camera in response to standard positional maneuvers. The device records, tracks, stores, and displays normal and abnormal eye movements, including vertical, horizontal, and torsional. This device provides no diagnosis and does not provide diagnostic recommendations.
The target population is individuals 12 years of age and older.
#### 6. Indications and Technological Comparison
| Characteristic | Subject Device | Predicate Device | Reference Device |
| --- | --- | --- | --- |
| Regulation / Product Code | 882.1460 / GWN | 882.1460 / GWN | 882.1460 / GWN |
| Device Class | Class II | Class II | Class II |
| Indications for Use / Intended Use | The SmartVertigo™ Vestibular Assessment System is indicated for use in the medical office, hospital, and healthcare settings for viewing and recording eye movements in patients with symptoms of dizziness caused by peripheral vestibular disorders who are under the supervision of a clinician. The device records abnormal eye movements with an iPhone camera in response to standard positional maneuvers. The device records, tracks, stores, and displays normal and abnormal eye movements, including vertical, horizontal, and torsional. This device provides no diagnosis and | The DizzyDoctor® System 1.0.0 Eye Movement Monitor is indicated for use in the medical office, and in the home setting for monitoring patients with a diagnosis of dizziness caused by peripheral vestibular disorders who are under the supervision of a physician. The device detects abnormal eye movements in response to standard positional maneuvers by recording, tracking, storing and displaying vertical, horizontal and torsional eye movements. This device provides no diagnosis and does not provide diagnostic recommendations. | The Insight Infrared Video Goggles are intended for viewing and recording eye movements in support of identifying vestibular disorders in patients. The device is intended for use only by a trained healthcare professional in an appropriate healthcare setting. This device provides no diagnoses nor does it provide diagnostic recommendations. The target population is 12+ years of age. |
510(k) Summary
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| Characteristic | Subject Device | Predicate Device | Reference Device |
| --- | --- | --- | --- |
| | does not provide diagnostic recommendations. The target population is individuals 12 years of age and older. | | |
| Intended Operator / User | Trained healthcare professionals | Physician | Trained personnel only, such as audiologists, ENT doctors, physicians, vestibular rehabilitation specialists, or licensed healthcare personnel with a similar level of qualifications. |
| Clinical Setting | Medical office, hospital, and healthcare settings | Medical office and in the home setting | Appropriate healthcare setting |
| Target Population | 12+ years of age | Not disclosed | 12+ years of age |
| Anatomical Site | Human eyes (eye movements / nystagmus) | Human eyes (eye movements / nystagmus) | Human eyes (eye movements / nystagmus) |
| Principle of Operation | iPhone mounted in light-occluding goggles; iPhone camera records eye movements during guided positional maneuvers; videos stored and viewed via VertigoDx app. | iPhone mounted in light-occluding goggles; iPhone camera records eye movements during guided positional maneuvers; videos uploaded for physician review. | N/A |
| Camera / Optics | Physician's iPhone, which is affixed at eye level to the goggle's Mounting Plate that aligns the iPhone camera to the patient's eye. | Patient's or physician's iPhone, which is affixed at eye level to the goggle's Mounting Plate that aligns the iPhone camera to the patient's eye. | N/A |
| Illumination Source | iPhone's integrated LED | LED side lights built into goggle | N/A |
| Light Occlusion / Fixation Control | Light occluding goggle frame with padded face cushion to block external light | Light occluding goggle frame with built-in light shielding to block external light | N/A |
| Number of Eyes Recorded | 1 | 1 | N/A |
| Eye Movements Captured | Vertical, horizontal, and torsional | Vertical, horizontal, and torsional | N/A |
| Data Output | Real-time viewing on iPhone and stored video of eye movements | Stored video of eye movements | Real-time viewing on computer monitor and stored video of eye movements |
| Connectivity / Host System | iPhone is a closed system that records and stores videos and data; uploads recordings to secure web portal or cloud for remote | iPhone uploads recordings to web portal for physician viewing on desktop/laptop | N/A |
510(k) Summary
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| Characteristic | Subject Device | Predicate Device | Reference Device |
| --- | --- | --- | --- |
| | viewing by clinician on laptop/desktop | | |
| Power Source | iPhone battery (goggle is not powered) | iPhone battery plus CR2 battery for goggle LEDs | N/A |
| Patient-Contact Materials | Durable plastic shell with face cushion (PC+ABS, silicone) | Durable plastic shell with face cushion | N/A |
## 7. Non-Clinical Test Summary
To establish substantial equivalence, non-clinical testing was conducted.
### 7.1. Software
The VertigoDx App is a mobile Software as a Medical Device (SaMD), compliant to IEC 62304, is intended to assist healthcare professionals in documenting, organizing, and supporting the clinical assessment of vertigo and balance disorders. The software performs structured data capture, symptom documentation, guided test documentation, and report generation for clinician review. Similar to the identified predicate device, the VertigoDx App provides decision-support functionality based on clinician-entered data and does not independently diagnose, treat, or control therapy. The clinician remains responsible for clinical interpretation and final medical decision-making.
### 7.2. Illumination
The SmartVertigo Vestibular Assessment System utilizes the display illumination of a commercially available smartphone (iPhone 14 Pro Max) as a low-intensity, diffuse white-light source to illuminate the peri-ocular region during video capture of eye movements. The system operates at a fixed distance of 9 cm from the subject's eyes, producing an illuminance of 17–40 lux and luminance of 5–13 cd/m², with no UV or IR emissions. Testing was conducted using a Digital Lux Meter (model LX1330B) under controlled conditions to measure light output and assess compliance with applicable photobiological safety standards, including ANSI Z80.36-2021 and IEC 62471:2006.
Based on luminance measurements and comparison with these standards, the SmartVertigo Vestibular Assessment System qualifies as an Exempt light source (RG0) with no risk of blue-light retinal, thermal retinal, UV, or IR hazards. Exposure duration is limited to 2-minute intervals per test, with a maximum cumulative exposure of 14 minutes, ensuring retinal exposure remains far below defined hazard thresholds. The device incorporates safety features such as a software lock to maintain minimum brightness, a fixed working distance of 9 cm via the smartphone mount, and user instructions to prevent manual brightness increases.
### 7.3. Human Factors/Usability
A summative usability validation study for the SmartVertigo was conducted in compliance with IEC 62366-1:2015+A1:2021 and FDA Guidance, "Applying Human Factors and Usability Engineering to Medical Devices," to support safe and effective use by its intended user population (clinicians, technicians, healthcare personnel). Fifteen participants, aged 22–58 years, completed critical tasks using the finalized Instructions for Use (IFU) without coaching. All participants achieved ≥76% task success, with a mean score of 43.7/50, and no non-recoverable or critical errors were observed. Minor recoverable errors, such as headset adjustment and software navigation, were resolved using the IFU, which was rated 100% clear, easy to read, and helpful.
510(k) Summary
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The study demonstrated that the device and IFU adequately mitigate use-related risks and support the system's safety and effectiveness compared to the predicate.
### 8. Conclusion
The subject and predicate devices have the same intended use, similar technological characteristics, and the same fundamental scientific principles of operation. The minor differences in illumination source, data handling configuration, and clinical setting are addressed by the non-clinical and HF testing described above and do not introduce different questions of safety or effectiveness.
Therefore, we can conclude these devices are substantially equivalent.
510(k) Summary
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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.