K190767 · The Methodist Hospital Research Institute D/B/A Houston · LLZ · Mar 16, 2020 · Radiology
Device Facts
Record ID
K190767
Device Name
AnatomicAligner
Applicant
The Methodist Hospital Research Institute D/B/A Houston
Product Code
LLZ · Radiology
Decision Date
Mar 16, 2020
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.2050
Device Class
Class 2
Attributes
Software as a Medical Device
Indications for Use
AnatomicAligner is software for pre-operative simulation of orthognathic surgical treatment options, based on imaging information from a medical scanner such as CT or MRI, in patients who have reached sketal and dental maturity.
Device Story
AnatomicAligner is radiology image processing software for pre-operative orthognathic surgical planning. Input: DICOM images from CT or MRI scanners. Operation: software provides tools for 3D bone/soft tissue segmentation, cephalometric analysis, virtual osteotomy, and surgical simulation. Output: 3D surgical plan and splint design exported as STL files for third-party fabrication. Used in clinical settings by healthcare professionals. Benefits: enables precise pre-operative simulation and planning for orthognathic procedures, facilitating surgical execution.
Clinical Evidence
No clinical testing was performed. Evidence consists of bench-level verification and validation testing of software requirements per FDA guidance and 21 CFR 820.30 design controls.
Technological Characteristics
Software-based image processing system; runs on standard Windows PC hardware; utilizes DICOM standard for image input; provides 2D/3D visualization, segmentation, cephalometric analysis, and virtual osteotomy tools; exports STL files for splint fabrication; developed under 21 CFR 820.30 design controls.
Indications for Use
Indicated for pre-operative simulation of orthognathic surgical treatment options in patients who have reached skeletal and dental maturity, using CT or MRI imaging data.
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/0 description: The image shows the logo of the U.S. Food and Drug Administration (FDA). The logo consists of two parts: the Department of Health & Human Services logo on the left and the FDA logo on the right. The FDA logo features the letters 'FDA' in a blue square, followed by the words 'U.S. FOOD & DRUG ADMINISTRATION' in blue text.
March 16, 2020
The Methodist Hospital Research Institute d/b/a Houston Methodist Research Institute Christina Talley Director, Regulatory Affairs and Translational Management Methodist Research Institute 6670 Bertner Avenue Houston, Texas 77030
Re: K190767
Trade/Device Name: AnatomicAligner Regulation Number: 21 CFR 892.2050 Regulation Name: Picture Archiving And Communications System Regulatory Class: Class II Product Code: LLZ Dated: July 13, 2019 Received: July 17, 2019
Dear Christina Talley:
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. 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 located 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.
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
{1}------------------------------------------------
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 of medical device-related adverse events) (21 CFR 803) for devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
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 https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-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/medicaldevices/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-device-advice-comprehensive-regulatoryassistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
for Srinivas "Nandu" Nandkumar, Ph.D. Acting Assistant Director DHT1B: Division of Dental Devices OHT1: Office of Ophthalmic, Anesthesia, Respiratory, ENT and Dental Devices Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
{2}------------------------------------------------
## Indications for Use
510(k) Number (if known) K190767
Device Name AnatomicAligner
Indications for Use (Describe)
AnatomicAligner is software for pre-operative simulation of orthognathic surgical treatment options, based on imaging information from a medical scanner such as CT or MRI, in patients who have reached sketal and dental maturity.
X Prescription Use (Part 21 CFR 801 Subpart D)
| Over-The-Counter Use (21 CFR 801 Subpart C)
### CONTINUE ON A SEPARATE PAGE IF NEEDED.
This section applies only to requirements of the Paperwork Reduction Act of 1995.
### *DO NOT SEND YOUR COMPLETED FORM TO THE PRA STAFF EMAIL ADDRESS BELOW.*
The burden time for this collection of information is estimated to average 79 hours per response, including the time to review instructions, search existing data sources, gather and maintain the data needed and complete and review the collection of information. Send comments regarding this burden estimate or any other aspect of this information collection, including suggestions for reducing this burden, to:
> Department of Health and Human Services Food and Drug Administration Office of Chief Information Officer Paperwork Reduction Act (PRA) Staff PRAStaff@fda.hhs.gov
"An agency may not conduct or sponsor, and a person is not required to respond to, a collection of information unless it displays a currently valid OMB number."
{3}------------------------------------------------
Image /page/3/Picture/0 description: This image is a document with the title "AnatomicAligner Software" and the subtitle "510(k) Premarket Notification". The document number is AA-022, and the version is 3. The company is The Methodist Hospital Research Institute d/b/a Houston Methodist Research Institute, and the page number is 1 of 6.
#### 1 510(K) SUMMARY K190767
In accordance with 21 CFR 807.92, the following summary of the information in the 510(k) submission is provided.
#### 1.1 807.92(A)(1)
| Summary Date: | 3/16/2020 |
|---------------|--------------------------------------------------------------------------------------------------------------------------------------|
| Submitter: | The Methodist Hospital Research Institute<br>d/b/a Houston Methodist Research Institute<br>6670 Bertner Ave.<br>Houston, Texas 77030 |
| Contact: | Christina Talley, MS, RAC, CCRP, CCRC.<br>Program Director<br>Direct: 713-363-9155<br>Email: ctalley@houstonmethodist.org |
#### 1.2 807.92(A)(2)
| Trade Name: | AnatomicAligner |
|-------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Common Name: | Radiology Image Processing Software |
| Device: | System, Image Processing, Radiological |
| Regulation Number: | 21 CFR 892.2050 |
| Regulation Description: | Picture Archiving and Communication System |
| Review Panel: | Radiology |
| Device Class: | Class II |
| Product Code: | LLZ |
| Indication For Use: | AnatomicAligner is software for pre-operative<br>simulation of orthognathic surgical treatment<br>options, based on imaging information from a<br>medical scanner such as CT or MRI, in patients<br>who have reached skeletal and dental maturity. |
{4}------------------------------------------------
| HOUSTON<br>Methodist<br>LEADING MEDICINE | TITLE: | AnatomicAligner Software | | | |
|------------------------------------------|-----------|-----------------------------------------------------------------------------------------|---|-------|--------|
| | SUBTITLE: | 510(k) Premarket Notification | | | |
| NUMBER: | AA-022 | VER: | 3 | | |
| CONFIDENTIAL | COMPANY: | The Methodist Hospital Research Institute<br>d/b/a Houston Methodist Research Institute | | PAGE: | 2 of 6 |
#### 1.3 807.92(A)(3) — PRIMARY PREDICATE
| Device Name: | SurgiCase, SurgiCase CMF, ProPlan CMF |
|----------------------------|------------------------------------------|
| Manufacturer: | Materialise N.V. |
| 510(k) Number: | K111641 |
| Product Code: | LLZ |
| Regulation Number: | 21 CFR 892.2050 |
| Regulation<br>Description: | Picture Archiving & Communication System |
#### 1.4 807.92(A)(4) — Device Description
| Device Description: | AnatomicAligner is an image-processing software<br>with a user-friendly interface for pre-operative<br>simulation of orthognathic surgical treatment options<br>based on imaging information from a medical scanner<br>such as CT or MRI. The software planning results<br>may be transferred to surgery. |
|---------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
|---------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
{5}------------------------------------------------
| | TITLE: | AnatomicAligner Software | | | |
|--------------|-----------|-----------------------------------------------------------------------------------------|------|-------|--------|
| | SUBTITLE: | 510(k) Premarket Notification | | | |
| | NUMBER: | AA-022 | VER: | 3 | |
| CONFIDENTIAL | COMPANY: | The Methodist Hospital Research Institute<br>d/b/a Houston Methodist Research Institute | | PAGE: | 3 of 6 |
#### 1.6 807.92(A)(6) — Technological Characteristics
## 1.6.1 Technological Similarities
The following table summarizes the similarities in the technological characteristics of AnatomicAligner and the predicate device ProPlan.
| Technology | AnatomicAligner | ProPlan (Predicate) | Comparison |
|------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------|
| Computer | The AA software<br>interfaces with the<br>standard Windows<br>PC devices<br>including: Storage,<br>Mouse, Keyboard,<br>Display, and<br>Printer. | Intel Core2Duo or<br>equivalent; 3GB<br>RAM; AMD Radeon or<br>NVIDIA GeForce<br>graphics card with<br>128MB RAM or<br>equivalent. | Both products run on<br>general purpose<br>commercial<br>computers. |
| Operating<br>System | The AA software<br>interfaces with the<br>underlying Windows<br>operating system. | Windows Vista SP2 x64<br>Windows 7 x64<br>Windows 8 x64 | Both products use a<br>general purpose<br>commercial operating<br>system. |
| Patient Images | To create a new<br>surgical simulation,<br>select New from the<br>AnatomicAligner<br>main screen. A<br>prompt to Select a<br>DICOM Document<br>will be presented. | After scanning your<br>patient, you must<br>import the images to<br>the PROPLAN CMF<br>Software. | Both products use<br>DICOM to import<br>patient images for<br>processing. |
| Segmentation<br>and 3D<br>reconstruction | A 3D object is<br>created using the<br>selected mask and<br>applying the<br>selected options. | The "Segmentation<br>Wizard" will guide you<br>step-by-step through<br>the process of<br>segmenting bone parts<br>and soft tissue. The<br>result will be a 3D<br>object that can be used<br>in planning wizards. | Both products provide<br>the user software tools<br>to segment bone and<br>soft tissue to create<br>3D objects from the<br>patient images. |
{6}------------------------------------------------
| | TITLE: | AnatomicAligner Software | | | |
|--------------|-----------|-----------------------------------------------------------------------------------------|------|-------|--------|
| | SUBTITLE: | 510(k) Premarket Notification | | | |
| CONFIDENTIAL | NUMBER: | AA-022 | VER: | 3 | |
| | COMPANY: | The Methodist Hospital Research Institute<br>d/b/a Houston Methodist Research Institute | | PAGE: | 4 of 6 |
| Technology | AnatomicAligner | ProPlan (Predicate) | Comparison |
|--------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------|
| Registration<br>And<br>Reorientation | Registration in<br>AnatomicAligner is<br>performed using<br>Transformation<br>and Auto-<br>Registration tools. | The "Reposition<br>Wizard" can be used to<br>reposition 3D objects.<br>Selected 3D objects<br>can be translated. The<br>selected 3D object can<br>be rotated. | Both products provide<br>the user software tools<br>to translate and rotate<br>3D objects. |
| Cephalometric<br>Analysis | 3D Cephalometry in<br>the AnatomicAligner<br>is achieved by<br>defining a<br>cephalometric<br>analysis scheme<br>and digitizing<br>landmarks for it. | The "Cephalometry<br>Wizard" allows you to<br>indicate anatomical<br>landmarks on objects in<br>the 2D or 3D view to<br>perform a<br>cephalometric analysis. | Both products provide<br>the user software tools<br>to perform a<br>cephalometric<br>analysis. |
| Virtual<br>Osteotomy | Virtual osteotomy is<br>used to cut a 3D<br>bone model into<br>two bony segments. | Different<br>osteotomy plane<br>types can be<br>selected. | Both products provide<br>the user software tools<br>to perform an<br>osteotomy. |
| Surgical<br>Simulation | Create a Surgical<br>Plan or<br>orthognathic<br>surgery. | The Orthognathics<br>module in PROPLAN<br>CMF Software allows<br>you to plan<br>Orthognathic<br>surgeries. | Both products provide<br>the user software tools<br>to simulate<br>orthognathic surgery. |
{7}------------------------------------------------
| HOUSTON<br>Methodist<br>LEADING MEDICINE | TITLE: | AnatomicAligner Software | | |
|------------------------------------------|-----------|-----------------------------------------------------------------------------------------|------|--------------|
| | SUBTITLE: | 510(k) Premarket Notification | | |
| | NUMBER: | AA-022 | VER: | 3 |
| CONFIDENTIAL | COMPANY: | The Methodist Hospital Research Institute<br>d/b/a Houston Methodist Research Institute | | PAGE: 5 of 6 |
# 1.6.2 Technological Differences
The following table summarizes the differences in the technological characteristics of AnatomicAligner and the predicate device ProPlan.
| Technology | AnatomicAligner | ProPlan (Predicate) | Comparison |
|--------------------------------|-----------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Graphical<br>User<br>Interface | 2D and 3D views | 2D and 3D<br>views. | Both products provide<br>common 2D and 3D image<br>views and mouse controls.<br>Differences in graphic<br>appearance are cosmetic<br>and raise no new<br>questions. |
| Splint<br>design | The splint design is<br>transferred to an<br>STL file which can<br>be used by a 3rd<br>party lab to<br>manufacture the<br>splint. | Export 3D objects as<br>.mdck files (this<br>proprietary file format<br>allows you to<br>exchange 3D objects<br>within relevant<br>Materialise software<br>solutions, for e.g.<br>opening your<br>PROPLAN CMF<br>Software planning file<br>in 3-maticSTL in order<br>to design your own<br>guides and splints. | Both products provide a<br>mechanism to transfer a<br>splint design to a lab for<br>fabrication. As an<br>example, the STL file<br>created by AnatomicAligner<br>can be read and edited by<br>3-maticSTL. Thus,<br>differences in file formats<br>used to transfer the design<br>raise no new questions. |
### 1.7 807.92(B)(1) - Non-Clinical Performance Data
AnatomicAligner has successfully undergone extensive verification and validation testing to ensure that all requirements for the software have been met per FDA Guidance. These results provide objective evidence that the outputs of the software design activity meet all of the specified requirements for that activity. Therefore, the AnatomicAligner Software version 1.0 has been verified and validated as meeting all requirements.
#### 1.8 807.92(B)(2) - CLINICAL PERFORMANCE DATA
Based on the criteria listed in FDA guidance documents, no clinical testing of AnatomicAligner was required or performed.
{8}------------------------------------------------
| Image: Houston Methodist Logo | TITLE: | AnatomicAligner Software |
|-------------------------------|-----------------------------------------------------------------------------------------------|-------------------------------|
| | SUBTITLE: | 510(k) Premarket Notification |
| | NUMBER: | AA-022 |
| CONFIDENTIAL | COMPANY: The Methodist Hospital Research Institute d/b/a Houston Methodist Research Institute | VER: 3<br>PAGE: 6 of 6 |
#### 1.9 807.92(B)(3) - Conclusion
The intended uses of AnatomicAligner and ProPlan are the same. The technological characteristics of the AnatomicAliqner and the predicate device ProPlan are very similar. Any differences are minor and do not affect a determination of substantial equivalence.
AnatomicAligner was developed under the Quality System Regulation using Design Controls 21 CFR 820.30. This included establishing and maintaining procedures to ensure design requirements are met. All elements of the process have been documented, including design and development plan, design input, design output, design review, design verification, design validation, design transfer, design changes, and design history file.
AnatomicAligner has successfully undergone extensive verification and validation testing to ensure that all requirements for the software have been met. These results provide objective evidence that the outputs of the software design activity meet all of the specified requirements for that activity. Therefore, the AnatomicAligner Software version 1.0 has been verified and validated as meeting all requirements.
No applicable mandatory performance standards or special controls exist for AnatomicAligner. The product design, development and manufacturing conform to Quality System Regulations. Results of testing and standards conformance demonstrate safety and effectiveness of AnatomicAligner. We conclude that AnatomicAligner and ProPlan are substantially equivalent.
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.