K121738 · Vital Art and Science Incorporated · HOQ · Feb 22, 2013 · Ophthalmic
Device Facts
Record ID
K121738
Device Name
MYVISIONTRACK(TM)
Applicant
Vital Art and Science Incorporated
Product Code
HOQ · Ophthalmic
Decision Date
Feb 22, 2013
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 886.1330
Device Class
Class 1
Attributes
Software as a Medical Device, Real-World Evidence
Real-World Evidence
Submission
Device
Sponsor
RWD Sources
RWE Use Summary
Key Tags
K121738 · Feb 22, 2013
MYVISIONTRACK(TM)
Vital Art and Science Incorporated
Longitudinal patient self-test data (home-use)
A 6-month longitudinal study was conducted to evaluate the device's performance in a home-use setting, assessing patient compliance and the ability to detect disease progression in patients with diabetic retinopathy.
Patients with diabetic retinopathy (DR); Sample Size: 36 individuals
Not applicable for this study
Detection of disease progression (using 0.2 logMAR notification rule), patient compliance, and ability to self-monitor vision function.
Indications for Use
The myVisionTrackTM is intended for the detection of central 3 degrees metamorphopsia (visual distortion) in patients with maculopathy, including agerelated macular degeneration and diabetic retinopathy, and as an aid in monitoring progression of disease factors causing metamorphopsia. It is intended to be used by patients who have the capability to regularly perform a simple self-test at home. The myVisionTrackTM is not intended to diagnose; diagnosis is the responsibility of the prescribing eye-care professional.
Device Story
myVisionTrack is a software-based vision function monitor running on a commercial smartphone. It implements a shape discrimination hyperacuity (SDH) test to detect central 3-degree metamorphopsia. The device displays three circles on the screen; the user identifies the distorted circle. An adaptive staircase algorithm modulates the distortion amplitude to determine the lowest detectable level. Unlike predicate devices, it does not require stable fixation. Patients perform self-tests at home; results are automatically uploaded via cellular connection to a physician portal. Physicians review longitudinal data to monitor disease progression and determine if clinical intervention is required. The device enables timely detection of vision changes, potentially improving patient outcomes in maculopathy management.
Clinical Evidence
A 6-month longitudinal clinical study of 36 individuals with diabetic retinopathy (DR) was conducted. Participants performed weekly tests (2,338 total measurements). The study demonstrated the device's ability to distinguish between mild-to-moderate non-proliferative DR and severe/proliferative DR, where traditional acuity tests failed. Compliance was 84% with an average of 1.7 tests per week. The study validated that patients can effectively self-monitor at home and established a 0.2 logMAR notification rule for physician alerts.
Technological Characteristics
Software application running on off-the-shelf smartphone. Uses shape discrimination hyperacuity (SDH) test with adaptive staircase algorithm. Does not require fixation. Connectivity via cellular network for data upload. Conforms to ISO 13485, IEC 62304 (software life cycle), IEC 60601-1 (safety), and IEC 60601-1-11 (home healthcare environment).
Indications for Use
Indicated for patients with maculopathy, including age-related macular degeneration and diabetic retinopathy, to detect and monitor central 3-degree metamorphopsia. Intended for home self-testing by patients capable of regular use. Not for diagnosis.
Regulatory Classification
Identification
An Amsler grid is a device that is a series of charts with grids of different sizes that are held at 30 centimeters distance from the patient and intended to rapidly detect central and paracentral irregularities in the visual field.
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Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
July 7, 2017
Vital Art and Science Incorporated Mike Bartlett President 2725 N. Spring Drive Richardson, TX 75082
Re: K121738
Trade/Device Name: myVisionTrack™ Model 0003 Regulation Number: 21 CFR 886.1330 Regulation Name: Amsler grid Regulatory Class: Class I Product Code: HOQ Dated: January 15, 2013 Received: January 17, 2013
Dear Mike Bartlett:
This letter corrects our substantially equivalent letter of February 22, 2013
We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments or to devices that have been reclassified in accordance with the provisions of the Federal Food. Drug, and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies.
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You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR 801); medical device reporting (reporting of medical device-related adverse events) (21 CFR 803); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820); and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please contact the Division of Industry and Consumer Education at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm. Also, please note the regulation entitled, "Misbranding by reference to premarket notification"
(21CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation
(21 CFR Part 803), please go to
http://www.fda.gov/MedicalDevices/Safety/ReportaProblem/default.htm for the CDRH's Office of Surveillance and Biometrics/Division of Postmarket Surveillance.
You may obtain other general information on your responsibilities under the Act from the Division of Industry and Consumer Education at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm.
Sincerely.
# Denise L. Hampton -S
for Malvina B. Eydelman, M.D. Director Division of Ophthalmic and Ear, Nose and Throat Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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# Change Control Table, Change History
## Change Control Table
| Version | Document Author | Document Approver | Date Approved |
|---------|-----------------------------------------------|---------------------|---------------|
| 1.00 | Alexander Beylin, Biomedical<br>Engineer, ODE | Name, Title, Office | MM/DD/YYYY |
Complete Change Control Table (all versions) retained in SWIFT Docs.
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## Indications for Use
510(k) Number (if known) K121738
Device Name myVisionTrackTM Model 0003
### Indications for Use (Describe)
The my Vision TrackTM is intended for the detection of central 3 degrees metamorphopsia (visual distortion) in patients with maculopathy, including agerelated macular degeneration and diabetic retinopathy, and as an aid in monitoring progression of disease factors causing metamorphopsia. It is intended to be used by patients who have the capability to regularly perform a simple self-test at home. The myVisionTrackTM is not intended to diagnose; diagnosis is the responsibility of the prescribing eye-care professional.
| Type of Use (Select one or both, as applicable) |
|-------------------------------------------------|
|-------------------------------------------------|
| <span style="font-family: DejaVu Sans, sans-serif">☑</span> Prescription Use (Part 21 CFR 801 Subpart D) |
|----------------------------------------------------------------------------------------------------------|
| <span style="font-family: DejaVu Sans, sans-serif">☐</span> Over-The-Counter Use (21 CFR 801 Subpart C) |
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# FEB 2 2 2013
### 510(k) Summary (Revised from Original) 5.
Date prepared: May 24, 2012
K Number K121738
Submitter:
Vital Art and Science Incorporated 2725 N. Spring Drive Richardson, TX 75082-4233
| Contact Person: | Mike Bartlett |
|-----------------|-----------------------------------------------|
| | President, Vital Art and Science Incorporated |
| | Phone: 214-929-2931 |
| | Fax: 972-238-0420 |
| | E-Mail: mike.bartlett@myvisiontrack.com |
### Name of the Device and Classification
Type of 510(k) Submission: Traditional Trade Name: myVisionTrack™ Model 0003 Common Name: Home vision function monitor Reason for Premarket Notification: New Device Regulation Number: 21 CFR 886 1605 Regulation Name: Perimeter, Automatic, AC-Powered Regulatory Class: Class I Product Code: HPT
### Predicate Devices:
The Vital Art and Science Incorporated my VisionTrack™ Model 0003 (mVT™) is substantially equivalent to the following combination of predicate medical devices:
- ForeseeHome supplied by Notal Vision; Perimeter, Automatic, AC-Powered, 21 . CFR 886.1605; K091579; Product Code: HPT
- PreView PHPTM supplied by Notal Vision; Perimeter, Automatic, AC-Powered, . 21 CFR Part 886.1605; K05350; Product Code: HPT
- Amsler Grid, a Class I Exempt Preamendments Medical Device (21 CFR . 886.1330); Product Code: HOQ
### 510(k) Summary
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### Brief Device Description:
The myVisionTrack™ is a vision function test provided on a commercially available cell phone. The myVisionTrack™ implements a shape discrimination hyperacuity (SDH) vision test which allows patients to perform their own vision test at home. This enables regular monitoring of disease progression, and for timely detection of significant changes in vision function. If a significant worsening of vision function is detected the physician will be notified and provided access to the vision self-test results so that they can decide whether the patient needs to be seen sooner than their next already scheduled appointment.
### Indications for Use:
The my VisionTrack™ is intended for the detection and characterization of central 3 degrees metamorphopsia (visual distortion) in patients with maculopathy, including agerelated macular degeneration and diabetic retinopathy, and as an aid in monitoring progression of disease factors causing metamorphopsia. It is intended to be used by patients who have the capability to regularly perform a simple self-test at home. The my Vision Track™ is not intended to diagnose; diagnosis is the responsibility of the prescribing eye-care professional.
### Indications for Use as compared to the Predicate Device:
myVisionTrackTM and the three predicate devices provide a method for a user to self-test their own vision function. All are used to detect significant changes in vision, which indicate disease progression.
The Amsler Grid, in various paper chart forms, is the most commonly prescribed method for home vision monitoring today. Studies have shown that most patients cannot use it effectively for a number of reasons, including the requirement for the user to remember previous results and to determine for themselves if a significant change has occurred.
myVisionTrack™ and the two devices from Notal Vision are automated devices which present visual test stimuli, collect user responses and compare current results to previous test results to determine if a significant change in vision function has occurred.
All three devices use a "hyperacuity" algorithm that tests the user's ability to detect differences in multiple stimuli. my Vision Track™ uses a test algorithm that does not require the user to fixate on a single point during the test. Therefore, it is not limited to users who have a stable fixation, which is a requirement of the Notal Vision devices.
### 510(k) Summarv
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The ForeseeHome and PreView PHP™ test the central and paracentral area of the retina whereas my VisionTrack™ tests only the central 3 degrees of the retina which is a smaller area. The predicate devices are intended for users diagnosed with age-related macular degeneration (AMD) whereas my VisionTrack™ is intended for users diagnosed with maculopathy, of which AMD and diabetic retinopathy (DR) are the primary diseases.
### Principles of Operation:
The test images used by my VisionTrack™ are shown in Figure 5.1 where (a) is an undistorted image and (b) is a distorted image. The distorted version is created by modulating the radius of the circle with a sinusoid.
Image /page/6/Picture/3 description: The image shows two different shapes. The shape on the left is a circle. The shape on the right is a wavy circle with 8 points. The text "cyc/360" is at the bottom of the image.
(a) unmodulated (b) modulated Fig. 5.1. Patterns in the shape discrimination
In the test the user is shown three circles and asked to identify the distorted circle, as shown in Figure 5.2. The test begins with a large amplitude of distortion and moves quickly through a series of test images where the distortion amplitude is reduced in order to determine the lowest detectable level of distortion.
Image /page/6/Picture/6 description: The image shows a smartphone with a gray screen displaying three shapes. There is a circle on the left, a star in the middle, and another circle on the right. The shapes are outlined in a lighter gray color, contrasting with the darker gray background of the screen.
Figure 5.2
510(k) Summary
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K121738
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### Clinical Testing Summary
Numerous published studies have shown that patients with AMD and other forms of maculopathy have significantly poorer results as compared to normal subjects on the shape discrimination test. VAS has performed our own 6-month Clinical Study on the specific shape discrimination hyperacuity test used in myVisionTrack™. This study of diabetic retinopathy (DR) patients did show a significant difference between those patients with mild-to-moderate non-proliferative DR (NPDR) and those with very severe NPDR or proliferative DR (PDR), whereas traditional clinic-based visual acuity and contrast sensitivity tests were not able to detect a significant difference. In this study, where patients were asked to test at least once per week for 6 months, there was an average weekly compliance rate of 84%, and the average number of times the patients performed the test was 1.7. This study verified that patients could and would effectively self-monitor their own vision function at home using myVisionTrackTM.
In this 6-month longitudinal study, we collected data on 36 individuals taking weekly measurements for a total of 2338 measurements. Individuals in this study had no significant change of disease condition over the 6-month period based on clinical judgment. Using the 6-month longitudinal study, we found 36 examples where a physician would have been notified according to the 0.2 logMAR notification rule.
### Substantial Equivalence Comparison
The substantial equivalence of the my VisionTrack™ to the predicate devices is summarized in Table 5.1 below. Each of these devices provide a vision self-test for the patient.
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| Function<br>Specification | Product Code | Amsler Grid<br>Class I Exempt<br>Preamendments Device | HOQ | Notal Vision, Inc.<br>PreView PHP™<br>k050350 | HPT | Notal Vision, Inc.<br>ForeseeHome<br>k091579 | HPT | VAS<br>myVision Track™ Model<br>0003 (Proposed) | HPT |
|---------------------------|-------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----|----------------------------------------------|-----|-------------------------------------------------|-----|
| Regulation<br>Number | 21 CFR 886.1330 | 21 CFR 886.1605 | 21 CFR 886.1605 | 21 CFR 886.1605 | | | | | |
| Indications<br>for Use | Intended to rapidly<br>detect central and<br>paracentral irregularities<br>in the visual field. | The PreView PHP™ is<br>intended for use in the<br>detection and monitoring<br>the progression of Age-<br>related Macular<br>Degeneration (AMD)<br>including, but not limited<br>to, the detection of<br>choroidal<br>neovascularization (CNV). | The ForeseeHome is<br>intended for use in the<br>detection and<br>characterization of central<br>and paracentral<br>metamorphopsia (visual<br>distortion) in patients with<br>age-related macular<br>degeneration as an aid in<br>monitoring progression of<br>disease factors causing<br>metamorphopsia including,<br>but not limited to choroidal<br>neovascularization (CNV). It<br>is intended to be used at<br>home for patients with<br>stable fixation. The<br>ForeseeHome is not<br>intended to diagnose;<br>diagnosis is the<br>responsibility of the<br>prescribing eye-care<br>professional. | The myVision Track™ is<br>intended for the detection<br>and characterization of<br>central 3 degrees<br>metamorphopsia (visual<br>distortion) in patients with<br>maculopathy, including age-<br>related macular<br>degeneration and diabetic<br>retinopathy, and as an aid in<br>monitoring progression of<br>disease factors causing<br>metamorphopsia. It is<br>intended to be used by<br>patients who have the<br>capability to regularly<br>perform a simple self-test at<br>home. The myVision Track™<br>is not intended to diagnose;<br>diagnosis is the<br>responsibility of the<br>prescribing eye-care<br>professional. | | | | | |
:
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
:
KIZI738
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| Item | Function<br>Specification | Amsler Grid<br>Class Exempt<br>Preamendments Device | Notal Vision, Inc.<br>PreView PHP™<br>k050350 | Notal Vision, Inc.<br>ForeseeHome<br>k091579 | VAS<br>myVisionTrack™ Model<br>0003 (Proposed) |
|------|------------------------------------------------------------|------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------|------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------|
| 4 | Target<br>Population | Patients at high risk or<br>already diagnosed with<br>Maculopathy | Patients already diagnosed<br>with age-related macular<br>degeneration | Patients already diagnosed<br>with age-related macular<br>degeneration | Patients already diagnosed<br>with Maculopathy, including<br>age-related macular<br>degeneration and diabetic<br>retinopathy |
| 5 | Prescription<br>or OTC | OTC | Prescribed by healthcare<br>professional. | Prescribed by healthcare<br>professional. | Prescribed by healthcare<br>professional. |
| 6 | How/Where<br>used | Home use for self-<br>testing by the patient. | Healthcare Clinic | Home use for self-testing by<br>the patient. | Home use for self-testing by<br>the patient. |
| 7 | Hardware<br>Platform | Paper chart. | Software Application to be<br>run on a customer supplied<br>off-the-shelf PC. | Dedicated unit with<br>processor, display, mouse<br>and software. | Software Application<br>delivered by the supplier on<br>an off-the-shelf cell phone. |
| 8 | Vision Test<br>algorithm<br>used | Patient is instructed to<br>identify and record blur,<br>distorted or missing<br>areas on the chart. | Preferential Hyperacuity<br>Test | Preferential Hyperacuity<br>Test | Shape Discrimination<br>Hyperacuity Test with an<br>adaptive staircase algorithm |
| 9 | Fixation<br>Point for the<br>patient<br>during<br>testing? | Yes | Yes | Yes | No. The test employs a<br>visual task involving global<br>visual integration. No<br>fixation is required to<br>perform the test. |
| 10 | Data upload<br>capability? | No | Not specified | Yes, through a home phone<br>line. | Yes, through the cell phone<br>connection. |
the same of the same of the same of
K121738
:
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K121738
### Standards to which Vital Art and Science Incorporated claims conformance for the myVisionTrack™ Model 0003
1) ISO 13485:2003 / EN ISO 13485:2003 / AC:2009 "Medical devices - Quality management systems - Requirements for regulatory purposes"
2) AAMI / ANSI / ISO 14971:2007/(R)2010, "Medical devices - Application of risk management to medical devices"
3) IEC 60234:2006 Ed. 1.0, "Medical device software - Software life cycle processes"
4) IEC 60601-1:2005 + A1:2012, 'Medical electrical equipment Part 1: General requirements for basic safety and essential performance"
5) IEC 60601-1-2:2007, "Medical electrical equipment - Part 1-2: General requirements for basic safety and essential performance - Collateral standard Electromagnetic compatibility - Requirements and tests"
6) IEC 60601-1-11:2010, "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"
### Conclusion
In conclusion, the proposed my VisionTrack™ as compared to the already cleared predicate devices has:
- . Similar indications for use:
- Similar physical composition, in that all use visual testing software delivered on a ● validated hardware platform and operating system;
- � Similar, but with a vision test algorithm that does not require a patient to focus on a single point constantly during testing;
- A similar method of operation for the patient to perform self-testing at home; and .
- Similar central monitoring of patient self-test results, but with a mobile device . upload method that does not require the patient to have a home phone or to perform any setup.
Based on our non-clinical and clinical testing of the my VisionTrack™ Model 0003 we have concluded that the my VisionTrack™ Model 0003 is as safe, as effective and performs at least as safely and effectively as the predicate devices.
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.