K153289 · Healthmyne, Inc. · LLZ · Jan 15, 2016 · Radiology
Device Facts
Record ID
K153289
Device Name
HEALTHMYNE
Applicant
Healthmyne, Inc.
Product Code
LLZ · Radiology
Decision Date
Jan 15, 2016
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.2050
Device Class
Class 2
Attributes
Software as a Medical Device, 3rd-Party Reviewed
Indications for Use
The HealthMyne software is a Picture Archiving and Communications System (PACS) intended to be used as a Digital Imaging and Communications in Medicine (DICOM) and non-DICOM information and data management system. The HealthMyne software displays, processes, stores, and transfers medical data from original equipment manufacturers (OEMs) that support the HL7 and DICOM (including DICOM-RT) standards, with the exception of mammography. It provides the capability to store images and patient information from OEM equipment, and perform filtering, digital manipulation and quantitative measurements, and export the product automatically and semiautomatically segments normal structures and abnormal structures (for example, nodules and lesions), and provides metrics for the structures. The client software is designed to run on standard personal and business computers. The product is intended to be used by trained medical professionals, including but not limited to radiologists, and physicians. It is intended to provide image and related information (for example, image analysis) that is interpreted by a trained professional to render findings and/or diagnosis, but it does not directly generate any diagnosis or potential findings.
Device Story
HealthMyne is a client-server PACS software for managing OEM diagnostic images. It ingests DICOM/HL7 data; allows clinicians to search/filter metadata; displays images in customizable layouts. Clinicians use standard tools (pan, zoom, window/level) to view slices. System performs automatic/semi-automatic segmentation of normal/abnormal structures (e.g., nodules) based on clinician-identified seed points. It calculates metrics (e.g., LungRADs) and generates 2D contours and 3D models. Used in clinical settings by radiologists/physicians to aid interpretation; does not generate automated diagnoses. Benefits include streamlined image management, quantitative analysis of lesions, and longitudinal comparison of patient studies.
Clinical Evidence
Bench testing only. Verification and validation confirmed functional performance against FDA-recognized standards: DICOM, HL7, SMPTE display, and JPEG2000. No clinical data provided.
Technological Characteristics
Software-only PACS; client-server architecture; runs on Windows/Linux PCs. Supports DICOM/HL7 standards. Features: image filtering, segmentation, registration, quantitative measurement, 3D modeling. Connectivity: DICOM/HL7 network integration. Standards: ISO 10918/15444 (JPEG/JPEG 2000).
Indications for Use
Indicated for use by trained medical professionals (radiologists, physicians, oncologists) to display, process, store, and transfer DICOM/non-DICOM medical data (excluding mammography) for image analysis and quantitative measurement of structures, including nodules and lesions.
Regulatory Classification
Identification
A medical image management and processing system is a device that provides one or more capabilities relating to the review and digital processing of medical images for the purposes of interpretation by a trained practitioner of disease detection, diagnosis, or patient management. The software components may provide advanced or complex image processing functions for image manipulation, enhancement, or quantification that are intended for use in the interpretation and analysis of medical images. Advanced image manipulation functions may include image segmentation, multimodality image registration, or 3D visualization. Complex quantitative functions may include semi-automated measurements or time-series measurements.
Special Controls
*Classification.* Class II (special controls; voluntary standards—Digital Imaging and Communications in Medicine (DICOM) Std., Joint Photographic Experts Group (JPEG) Std., Society of Motion Picture and Television Engineers (SMPTE) Test Pattern).
{0}------------------------------------------------
Image /page/0/Picture/1 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo consists of a circular seal with the text "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" around the perimeter. Inside the circle is a stylized symbol of three human profiles facing to the right, arranged in a cascading manner.
Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
January 15, 2016
HealthMyne, Inc. % Mr. Mark Job Responsible Third Party Official 1394 25th Street, NW BUFFALO MN 55313
Re: K153289 Trade/Device Name: HealthMyne Regulation Number: 21 CFR 892.2050 Regulation Name: Picture archiving and communications system Regulatory Class: II Product Code: LLZ Dated: December 31, 2015 Received: January 4, 2016
Dear Mr. Job:
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. 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 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.
{1}------------------------------------------------
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/Resourcesfor You/Industry/default.htm. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to
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 yours.
Michael D'Hara
For
Robert Ochs, Ph.D. Director Division of Radiological Health Office of In Vitro Diagnostics and Radiological Health Center for Devices and Radiological Health
Enclosure
{2}------------------------------------------------
## Indications for Use
510(k) Number (if known) K153289
Device Name HealthMyne
#### Indications for Use (Describe)
The HealthMyne software is a Picture Archiving and Communications System (PACS) intended to be used as a Digital Imaging and Communications in Medicine (DICOM) and non-DICOM information and data management system. The HealthMyne software displays, processes, stores, and transfers medical data from original equipment manufacturers (OEMs) that support the HL7 and DICOM (including DICOM-RT) standards, with the exception of mammography. It provides the capability to store images and patient information from OEM equipment, and perform filtering, digital manipulation and quantitative measurements, and export the product automatically and semiautomatically segments normal structures and abnormal structures (for example, nodules and lesions), and provides metrics for the structures.
The client software is designed to run on standard personal and business computers. The product is intended to be used by trained medical professionals, including but not limited to radiologists, and physicians. It is intended to provide image and related information (for example, image analysis) that is interpreted by a trained professional to render findings and/or diagnosis, but it does not directly generate any diagnosis or potential findings.
Type of Use (Select one or both, as applicable)
| <span> <span style="font-size: 16px;">☑</span> Prescription Use (Part 21 CFR 801 Subpart D) </span> |
|-----------------------------------------------------------------------------------------------------------|
| <span> <span style="font-size: 16px;">☐</span> Over-The-Counter Use (21 CFR 801 Subpart C) </span> |
#### 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."
{3}------------------------------------------------
# Summary of Safety and Effectiveness/510k Summary
This 510(k) summary of safety and effectiveness information is submitted in accordance with the requirements of 21 CFR Part 807.87(h).
| Company | HealthMyne, Inc.<br>918 Deming Way<br>Madison, WI 53717 |
|------------------|-----------------------------------------------------------------------------------------------------------------------|
| Contact | Sigrid Schoepel<br>Director of Regulatory Affairs<br>Telephone: 608-833-2610<br>Email: sigrid.schoepel@healthmyne.com |
| Preparation Date | October 26, 2015 |
| Trade Name | HealthMyne |
| Classification | Class II per 21 CFR 892.2050<br>Picture Archiving and Communications System |
| Product Code | LLZ |
### Marketed Devices
HealthMyne is a software-only medical device that can manage OEM medical diagnostic images that are compatible with the DICOM standard. It performs functions similar to those currently available in the VitreaAdvanced software cleared for marketing via 510(k) K121213 by Vital Images, Inc.
### Device Description
HealthMyne accesses the information in real-time so that current patients and images are available to a clinician. The clinician can filter and search the patient and image metadata to find the desired patient(s) and/or image(s). The clinician can view the images in various hanging protocol layouts. The layouts contain viewports of the slices within the image set, each annotated with patient information. Within the viewports the clinician can manipulate the image using standard tools: scroll, pan, zoom, window and level, and view the location of the slice in other viewports. The system can automatically segment and register data sets, and calculate metrics on clinician-identified nodules. When a clinician identifies a seed point for a nodule, the system automatically finds the extent of the nodule. Regions of interest (organs and nodules) can be viewed on the 2D data sets as contours and as 3D models. Metrics can be used to aid in analysis of a study, including the American College of Radiology RADS standards, and specifically with this release the LungRADs categories.
#### Intended Use
The HealthMyne software is a Picture Archiving and Communications System (PACS) intended to be used as a Digital Imaging and Communications in Medicine (DICOM) and non-DICOM information and data management system. The HealthMyne software displays, processes, stores, and transfers medical data from original equipment manufacturers (OEMs) that support the HL7 and DICOM (including DICOM-RT) standards, with the exception of mammography. It provides the capability to store images and patient information from OEM equipment, and perform filtering, digital manipulation and quantitative measurements, and export the information. The product automatically and semi-automatically
{4}------------------------------------------------
segments normal structures and abnormal structures (for example, nodules and lesions), and provides metrics for the structures.
The client software is designed to run on standard personal and business computers. The product is intended to be used by trained medical professionals, including but not limited to radiologists, oncologists, and physicians. It is intended to provide image and related information (for example, image analysis) that is interpreted by a trained professional to render findings and/or diagnosis, but it does not directly generate any diagnosis or potential findings.
### Comparison with Predicate
HealthMyne performs many diagnostic image management picture archiving and communications functions available in the predicate device as shown in the following comparison chart. Its intended uses are similar to those of the predicate.
| Element | Submission - HealthMyne 2015 Rel 2 | Predicate - VitreaAdvanced 6.6<br>(K121213) |
|----------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------|
| Device Name | HealthMyne | VitreaAdvanced* |
| 510(k) owner | HealthMyne, Inc. | Vital Images, Inc. |
| Supports<br>mammography | No. | No. |
| Operating<br>System | Windows, Linux | Windows |
| Platform | Client-server | Client-server |
| JPG/JPG 2000 | Supported using third-party Kakadu<br>tool. ISO 10918/15444 | Supported. See DICOM conformance<br>statement at vitalimages.com. |
| Images are<br>stored/<br>compressed/<br>uncompressed | Both. Lossy used to indicate<br>loading/for display only and lossless<br>loaded simultaneously, unless DICOM<br>contains lossy only. | Both. Users can choose to compress<br>images. |
| Local archive:<br>Server level/<br>archive level | No separate archive due to software-<br>only product. Redundant data storage<br>recommended to the customer. | Yes. Available as a separate product. |
| DICOM<br>compliant | Yes. See conformance statement. | Yes. See conformance statement at<br>vitalimages.com. |
| HL7 support | Yes. See conformance statement. | No reference to HL7. |
| Study lists | Yes. | Yes. |
| Ability to filter<br>and search<br>study list | Yes. Can set up custom filters.<br>Dynamic (freeform) search and<br>matching. Also customizable, indexed<br>search parameters. | Yes. Can set up custom filters. Search and<br>matching. |
| View study-<br>related<br>documents | Yes. Presentation states and regions of<br>interest/nodules. | Yes. Presentation states and regions of<br>interest/nodules. |
| Manage<br>pushed studies | Yes. This product supports only<br>pushed studies. No studies originate<br>within this product. | Yes. This product can import and export<br>using DICOM. |
| Element | Submission - HealthMyne 2015 Rel 2 | Predicate - VitreaAdvanced 6.6<br>(K121213) |
| View current<br>and prior<br>studies at the<br>same time | Yes. Called current study and prior<br>study. Prior studies have a large<br>"PRIOR" label in each viewport. | Yes. Can select series from different<br>studies for the same patient. |
| Re-organize<br>series in a<br>study (for<br>viewing) | Yes. Has a thumbnail view with the<br>ability to drag and drop the thumbnail<br>into a viewport. Cannot save the<br>order. | Yes. Can drag and drop a viewport image<br>to another viewport. |
| Create<br>separate<br>displays | Yes. Can display a viewport as a single<br>viewport, can select a viewport layout<br>and add series to it. | Yes. Can display a viewport as a single<br>viewport, can select a viewport layout and<br>add series to it. |
| Cycle through<br>series | Yes. Can show the "next" and<br>"previous" sets of series. | Yes. Can show the "next" and "previous"<br>sets of series. |
| Image display<br>modes | Yes. Static and manual cine. | Yes. Static and manual cine. |
| Display color<br>images | Yes. | Yes. |
| Select images | Yes. There is an active image indicator.<br>The active image can be chosen or is<br>automatically set based on tool use. | Yes. Select images to group and/or<br>perform functions. |
| Delete images | Yes. Only with PACS admin privileges<br>and from the admin console. | Yes. Can delete images from the viewer<br>window. |
| Sort images | Yes. Sorting and grouping are by<br>system-defined rules. | Yes. Sorting and grouping are by system-<br>defined rules. |
| Scrolling<br>through slices | Yes. Linked series are scrolled<br>together. Can "swipe" on a scroll bar<br>to move through slices quickly. Can<br>lock/unlock scrolling through every<br>image. | Yes. Grouped series are scrolled together. |
| Zoom in/out | Yes. Default settings and can zoom<br>interactively. | Yes. Default settings and can zoom<br>interactively. |
| Pan an image | Yes. | Yes. |
| Rotate an<br>image | Yes. In 3D. | Yes. Can flip 2D images and rotate 2D and<br>3D images. |
| 3D images | Yes. | Yes. |
| 3D MIP | No. | Yes. |
| Create oblique<br>planes | No. | Yes. |
| Standard<br>viewport<br>layouts | Yes. Viewport layouts that are<br>independent of any modality or<br>common features of series. | Yes. Viewport layouts that are<br>independent of any modality or common<br>features of series. |
| Custom<br>layouts | No. Viewport layouts and hanging<br>protocols are factory-default. | Yes. Viewport layouts can be set by the<br>user. |
| Element | Submission - HealthMyne 2015 Rel 2 | Predicate – VitreaAdvanced 6.6<br>(K121213) |
| Labels | Yes. There are labels in the viewport for patient, study, and image information. | Yes. There are labels in the viewport for patient, study, and image information. |
| Orientation labels | Yes. | Yes. |
| Cross-reference indicator | Yes. There is a cutline in linked viewports to indicate intersection. | No. Use of cross-hair markers. |
| Location indicator | Yes. There is a cross-hair tool to show a point of interest. | Yes. There is a cross-hair tool to show a point of interest, also used to change the axis in 3D rotation. |
| View DICOM data | Yes. You can view the DICOM information about the patient, study, and current image. | Yes. You can view the DICOM information about the patient, study, and current image. |
| Create MPR images | Yes. MPRs from the external source are supported/displayed and can create multi-planar reconstructions of 2D images. | Yes. Can create multi-planar reconstructions of 2D images and set options for display. |
| Window/level across series | Yes. W/L settings are applied to the active image and any linked images. | Yes. Must group series to link W/L. |
| Window/level presets | Yes. Factory default. | Yes. Factory defaults and can save window/level settings. |
| Adjust window/level | Yes. Can interactively adjust the window and level. | Yes. Can interactively adjust the window and level. |
| Post-processing of images | Yes. Can create multi-planar reconstructions of 2D images and 3D views of contours. | Yes. Can create multi-planar reconstructions of 2D images and 3D views. |
| Annotation | Yes. User can display annotations and can add and edit callouts. | Yes. User can display annotations and can add and edit callouts. |
| Measuring tools | Yes. Pixel intensity/location and ruler. | Yes. Ruler. |
| Metrics | Yes. Image analysis metrics. | Yes. Image analysis metrics. |
| ACR RADS categories | Yes. Architecture in place to display RADS categories, initial implementation is for LungRADS. | Yes. References the Fleischner society guidelines. LungRADS's risk stratification is based on the Fleischner society guidelines. |
| Store presentation states | Yes. Can save certain visualization settings. | Yes. Can save certain visualization settings. |
| Detect image/patient issues | Yes. Can view patients and studies with errors. | Yes. Can view patients and studies with errors. |
| Print reports | No. | Yes. Can export and print reports. |
| Element | Submission – HealthMyne 2015 Rel 2 | Predicate - VitreaAdvanced 6.6<br>(K121213) |
| Custom<br>hanging<br>protocols | No. Comes with factory-default<br>hanging protocols. | No. Comes with factory-default layouts. |
| Custom filters | Yes. Can set filters to affect the studies<br>listed. | Yes. Can set filters to affect the studies<br>listed. |
| Set reading<br>state | Yes. Can mark a study as read. | Yes. Can mark a study as read. |
| Custom search<br>groups | Yes. Can set "codes" to index<br>elements for searching (for example,<br>referring physician or sets of exam<br>types) for faster auto-complete during<br>search. | Yes. Can set searches using matches and<br>ranges on the column headings. |
| Display RTP<br>structures | Yes. Supports DICOM RT structures. | Yes. Supports DICOM RT structures. |
| Register<br>images | Yes. Can automatically and/or<br>manually register images. | Yes. Can manually synchronize datasets in<br>viewers. Only applies to MPRs and 3D<br>images. |
| Segment<br>regions of<br>interest (ROIs) | Yes. Can automatically generate ROIs<br>and also manually identify nodules for<br>automatic generation of nodule ROIs. | Yes. Can automatically generate ROIs and<br>also manually identify nodules for<br>automatic generation of nodule ROIs. |
| Edit ROIs | Yes. Can edit the shape of nodules in<br>three dimensions. | Yes. Can edit ROIs in three dimensions. |
| Manual nodule<br>detection | Yes. Manual click to identify nodules,<br>automatic segmentation of the<br>volume. | Yes. Manual click to identify nodules,<br>automatic segmentation of the volume. |
| Automatic<br>nodule<br>detection | No. | Yes. Automatic detection of nodules in<br>current study if nodules identified in<br>previous studies, and the reverse. |
| Nodule display<br>modes | Yes. View nodules independently or in<br>reference to other anatomy. | Yes. View nodules independently or in<br>reference to other anatomy. |
| Image fusion | No. | Yes. Create a fused 3D image by<br>combining series. |
| Timeline<br>comparison | No. | Yes. Compare between nodules in studies<br>of elapse time between scans, doubling<br>time, percent growth |
{5}------------------------------------------------
{6}------------------------------------------------
{7}------------------------------------------------
### Summary of Studies
The HealthMyne software has undergone verification and validation to confirm its functional performance. Non clinical testing conformance to the following FDA recognized industry standards applicable to PACS devices: DICOM standard for medical diagnostic images, HL7 standard for patient information, SMPTE display, and the JPEG2000 image standard.
{8}------------------------------------------------
### Conclusion
It is the opinion of HealthMyne, Inc. that the HealthMyne software is substantially equivalent to similar image management options available in the predicate device. HealthMyne does not include any new indications for use with regards to the management of medical diagnostic image information, nor does use of this software result in any new potential hazards.
Predicate graph will load when search results are available.
Embedding visualization will load when search results are available.
PDF viewer will load when search results are available.
Loading panels...
Select an item from Submissions
Click any panel, subpart, regulation, product code, or device to see details here.
Section Matches
Results will appear here.
Product Code Matches
Results will appear here.
Special Control Matches
Results will appear here.
Loading collections...
Loading
My Alerts
You will receive email notifications based on the filters and frequency you set for each alert.
Sort by:
Create Alert
Search Filters
Agent Token
Create a read-only bearer token for Claude, ChatGPT, or other agents that can call HTTP APIs.
Copy this now. It will not be shown again.
Connected apps
Apps you authorized through browser sign-in. Disconnecting revokes their access immediately.
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.