K162370 · Siemens Medical Solutions USA, Inc. · MUJ · Oct 25, 2016 · Radiology
Device Facts
Record ID
K162370
Device Name
syngo.via RT Image Suite
Applicant
Siemens Medical Solutions USA, Inc.
Product Code
MUJ · Radiology
Decision Date
Oct 25, 2016
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.5050
Device Class
Class 2
Attributes
Software as a Medical Device
Indications for Use
syngo.via RT Image Suite is a 3D and 4D image visualization, multimodality manipulation and contouring tool that helps the preparation and response assessment of treatments such as, but not limited to those performed with radiation (for example, Brachytherapy, Particle Therapy, External Beam Radiation Therapy). It provides tools to efficiently view existing contours, create, edit, modify, copy contours of the body, such as but not limited to, skin outline, targets and organs-at-risk. Contours and images can subsequently be exported to a Treatment Planning System. The software combines following digital image processing and visualization tools: - Multi-modality viewing and contouring of anatomical, and multi-parametric images such as but not limited to CT, PET, PET/CT, MRI, Linac Cone Beam CT (CBCT) images and dose distributions - Multiplanar reconstruction (MPR) thick, minimum intensity projection (MIP), volume rendering technique (VRT) - Freehand and semi-automatic contouring of regions-of-interest on any orientation including oblique - Creation of contours on any type of images without prior assignment of a planning CT - Manual and semi-automatic registration using rigid and deformable registration - Supports the user in comparing, and adapting contours based on datasets acquired with different imaging modalities and at different time points - Supports the user in comparing images and contours of different patients - Supports multi-modality image fusion - Visualization and contouring of moving tumors and organs - Management of points of interest including but not limited to the isocenter
Device Story
Software tool for radiation therapy planning; inputs include multi-modality medical images (CT, PET, MRI, CBCT) and dose distributions. Performs 3D/4D visualization, multiplanar reconstruction (MPR), volume rendering (VRT), and image registration (rigid/deformable). Enables manual and semi-automatic contouring of tumors and organs-at-risk; supports dose evaluation and isocenter management. Used in clinical settings by medical professionals (e.g., radiation oncologists, dosimetrists). Output consists of segmented structures, registered images, and points of interest exported to external Treatment Planning Systems. Assists clinicians in target definition and treatment preparation; facilitates improved workflow for contouring and dose assessment.
Clinical Evidence
Bench testing only. Non-clinical integration and functional testing performed to verify software modifications. Risk analysis and hazard mitigation implemented. Verification and validation testing confirmed device meets specifications and performs as intended.
Indicated for 3D/4D image visualization, multimodality manipulation, and contouring to assist in radiation therapy treatment preparation and response assessment (e.g., Brachytherapy, Particle Therapy, External Beam Radiation Therapy). Applicable to patients requiring anatomical/functional image analysis (CT, PET, MRI, CBCT) for target and organ-at-risk segmentation.
Regulatory Classification
Identification
A medical charged-particle radiation therapy system is a device that produces by acceleration high energy charged particles (e.g., electrons and protons) intended for use in radiation therapy. This generic type of device may include signal analysis and display equipment, patient and equipment supports, treatment planning computer programs, component parts, and accessories.
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Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
October 25, 2016
Siemens Medical Solutions USA, Inc. % Ms. Kimberly Mangum Regulatory Affairs Specialist 40 Liberty Blvd., Mail Code 65-1A MALVERN PA 19355
Re: K162370
Trade/Device Name: syngo.via RT Image Suite Regulation Number: 21 CFR 892.5050 Regulation Name: Medical charged-particle radiation therapy system Regulatory Class: II Product Code: MUJ, LLZ Dated: August 12, 2016 Received: August 24, 2016
Dear Ms. Mangum:
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.
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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
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# Indications for Use
510(k) Number (if known) K162370
Device Name syngo.via RT Image Suite
### Indications for Use (Describe)
syngo via RT Image Suite is a 3D and 4D image visualization, multimodality manipulation and contouring tool that helps the preparation and response assessment of treatments such as, but not limited to those performed with radiation (for example, Brachytherapy, Particle Therapy, External Beam Radiation Therapy).
It provides tools to efficiently view existing contours, create, edit, modify, copy contours of the body, such as but not limited to, skin outline, targets and organs-at-risk. Contours and images can subsequently be exported to a Treatment Planning System.
The software combines following digital image processing and visualization tools:
- Multi-modality viewing and contouring of anatomical, and multi-parametric images such as but not limited to CT, PET, PET/CT, MRI, Linac Cone Beam CT (CBCT) images and dose distributions
- · Multiplanar reconstruction (MPR) thick, minimum intensity projection (MIP), volume rendering technique (VRT)
- · Freehand and semi-automatic contouring of regions-of-interest on any orientation including oblique
- · Creation of contours on any type of images without prior assignment of a planning CT
- Manual and semi-automatic registration using rigid and deformable registration
- · Supports the user in comparing, and adapting contours based on datasets acquired with different imaging modalities and at different time points
- · Supports the user in comparing images and contours of different patients
- Supports multi-modality image fusion
- · Visualization and contouring of moving tumors and organs
- · Management of points of interest including but not limited to the isocenter
| Type of Use (Select one or both, as applicable) | |
|------------------------------------------------------------------------------------------------|---------------------------------------------|
| <span style="text-decoration: underline;">X</span> Prescription Use (Part 21 CEB 801 Subpart D | Over-The-Counter Use (21 CER 801 Subpart C) |
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# 510(K) SUMMARY FOR SYNGO.VIA RT IMAGE SUITE
Submitted by: Siemens Medical Solutions USA, Inc. 40 Liberty Boulevard Malvern, PA 19355
Date Prepared: August 12, 2016
This summary of 510(k) safety and effectiveness information is being submitted in accordance with the requirements of SMDA 1990 and 21 CFR §807.92.
### I. Submitter
Importer/Distributor Siemens Medical Solutions USA, Inc. 40 Liberty Boulevard Malvern, PA 19355
Establishment Registration Number 2240869
#### Manufacturing Site
Siemens Healthcare GmbH Siemensstr. 1 D-91301 Forchheim, Germany
#### Establishment Registration Number 3004977335
### Contact Person
Kimberly Mangum Regulatory Affairs Specialist Siemens Medical Solutions USA, Inc. 40 Liberty Boulevard Malvern, PA 19355 Phone: (610) 448-6477 Fax: (610) 640-4481 Email: kimberly.mangum@siemens.com
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# II. Device Name and Classification
| Product Name: | syngo.via RT Image Suite |
|--------------------------|-----------------------------------------------|
| Propriety Trade Name: | syngo.via RT Image Suite |
| Classification Name: | System, Planning, Radiation Therapy Treatment |
| Classification Panel: | Radiology |
| CFR Section: | 21 CFR §892.5050 |
| Subsequent CFR Section: | 21 CFR §892.2050 |
| Device Class: | Class II |
| Product Code: | MUJ |
| Subsequent Product Code: | LLZ |
# III. Predicate Device
### Primary Predicate Device:
| Trade Name: | syngo.via RT Image Suite |
|--------------------------|-----------------------------------------------|
| 510(k) Number: | K151380 |
| Clearance Date: | August 13, 2015 |
| Classification Name: | System, Planning, Radiation Therapy Treatment |
| Classification Panel: | Radiology |
| CFR Section: | 21 CFR §892.5050 |
| Subsequent CFR Section: | 21 CFR §892.2050 |
| Device Class: | Class II |
| Product Code: | MUJ |
| Subsequent Product Code: | LLZ |
| Recall: | There have been no recalls for this device |
#### Secondary Predicate Device:
| Trade Name: | syngo Dosimetrist Workspace v2.7 |
|-----------------------|-----------------------------------------------|
| 510(k) Number: | K101119 |
| Clearance Date: | October 9, 2010 |
| Classification Name: | System, Planning, Radiation Therapy Treatment |
| Classification Panel: | Radiology |
| CFR Section: | 21 CFR § 892.5050 |
| Device Class: | Class II |
| Product Code: | MUJ |
| Recall: | 68395 |
# IV. Device Description
syngo.via RT Image Suite is an image analysis software for viewing, manipulation, 3D and 4D visualization, comparison of medical images from multiple imaging modalities and for the segmentation of tumors and organs-at-risk, prior to dosimetric planning and response assessment in radiation therapy.
syngo.via RT Image Suite combine and advanced digital image processing and visualization tools for easy manual and software assisted contouring of volumes of interest, identification of points of interest, sending isocenter points to an external laser system, registering images and exporting final results. syngo.via RT Image Suite supports the medical professional with tools to use during different steps in radiation therapy case preparation.
syngo.via RT Image Suite provides dedicated tools, which help the medical professional in contouring and evaluating volumes of interest, for example gross target volumes, or organs-at-risk.
The software application works in a similar fashion on any officially supported imaging modality, for example, native contouring is supported on CT but also on MR or PET images.
The following features have been modified:
- Routine Annotation Functionality (modified) ●
- Contouring Tools (modified)
- Patient Marking (modified)
- . Structure Set Management (modified)
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Image /page/5/Picture/0 description: The image shows the word "SIEMENS" in a sans-serif font. The letters are a light blue color. The word is displayed horizontally and is the main focus of the image.
- Alignment Tools (modified)
- Dose Evaluation (new)
# V. Indications for Use
syngo.via RT Image Suite is a 3D and 4D image visualization, multimodality manipulation and contouring tool that helps the preparation and response assessment of treatments such as, but not limited to those performed with radiation (for example, Brachytherapy, Particle Therapy, External Beam Radiation Therapy).
It provides tools to efficiently view existing contours, create, edit, modify, copy contours of the body, such as but not limited to, skin outline, targets and organs-at-risk. Contours and images can subsequently be exported to a Treatment Planning System. The software combines following digital image processing and visualization tools:
- . Multi-modality viewing and contouring of anatomical, functional, and multi-parametric images such as but not limited to CT, PET, PET/CT, MRI, Linac Cone Beam CT (CBCT) images and dose distributions
- . Multiplanar reconstruction (MPR) thin/thick, minimum intensity projection (MIP), volume rendering technique (VRT)
- Freehand and semi-automatic contouring of regions-of-interest on any orientation including . oblique
- Creation of contours on any type of images without prior assignment of a planning CT ●
- Manual and semi-automatic registration using rigid and deformable registration
- Supports the user in comparing, contouring, and adapting contours based on datasets acquired . with different imaging modalities and at different time points
- Supports the user in comparing images and contours of different patients
- Supports multi-modality image fusion
- . Visualization and contouring of moving tumors and organs
- Management of points of interest including but not limited to the isocenter .
# VI. Comparison of Technological Characteristics with the Predicate Device
syngo.via RT Image Suite has the same intended use, operating principle as well as the image visualization and manipulation technological characteristics as the predicate devices. Evaluation and post-processing are the technological principles for both the subject and predicate devices. The fundamental features of this subject device are: viewing, manipulation, 3D and 4D visualization, comparison of medical images from multiple imaging modalities and the segmentation of tumors and organs-at-risk, prior to dosimetric planning and response assessment in radiation therapy. The indications for use are similar.
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Using a high-level comparison, the subject and predicate devices are based on the following same technological elements respectively have the following differences:
| | Subject Device | Primary Predicate Device | Secondary Predicate Device | Comparison |
|--------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------|
| Feature | syngo.via RT Image<br>Suite | syngo.via RT Image<br>Suite | syngo Dosimetrist<br>Workspace v2.7 | |
| Basic<br>Features | Routine Reading<br>Functionality; Parallel<br>Image Display; Routine<br>Annotation Functionality | Routine Reading<br>Functionality; Parallel<br>Image Display; Routine<br>Annotation Functionality | Routine Reading<br>Functionality; Parallel<br>Image Display | Routine Annotation<br>Functionality<br>supports now a<br>finding feature |
| Contouring | Routine Contouring;<br>Advanced Contouring;<br>Contouring on 4D Image<br>Data; Routine Structure<br>Operations; Duplication<br>of Structures and POIs | Routine Contouring;<br>Advanced Contouring;<br>Contouring on 4D Image<br>Data; Routine Structure<br>Operations: Duplication<br>of Structures and POIs | Routine Contouring:<br>Advanced Contouring:<br>Routine Structure<br>Operations | Routine &<br>Contouring Tools<br>and Contouring on<br>4D Image Data<br>have been<br>improved |
| Patient<br>Marking | Transmission of POIs of<br>type isocenter to an<br>external laser system | n/a | Transmission of POIs of<br>type isocenter to an<br>external laser system | New feature in the<br>subject device but<br>is similar to the<br>secondary one |
| Alignment<br>Tools | Rigid Alignment and<br>Deformable Alignment | Rigid Alignment and<br>Deformable Alignment | Rigid Alignment | Rigid and<br>Deformable<br>Alignment tools<br>have been<br>improved to<br>provide a better<br>workflow |
| Dose<br>Evaluation | Loading of any existing<br>dose files: Addition or<br>Subtraction of two dose<br>files | n/a | n/a | new feature |
Table 4 Differences and Similarities in Technical Characteristics
# VII. Performance Data
The following performance data were provided in support of the substantial equivalence determination.
This submission contains performance data to demonstrate conformance with special controls for medical devices containing software. Non clinical tests (integration and functional) were conducted for syngo.via RT Image Suite during product development. The modifications described in this Premarket Notification were supported with verification/validation testing.
### Risk Analysis
The risk analysis was completed and risk control implemented to mitigate identified hazards. The testing results support that all the software specifications have met the acceptance criteria. Testing for verification and validation of the device was found acceptable to support the claims of substantial equivalence
### Software Verification and Validation
Software Documentation for a Major Level of Concern software per FDA's Guidance Document "Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices" issued on May 11, 2005 is also included as part of this submission.
### Non-Clinical Testing Summary
Performance tests were conducted to test the functionality of the syngo.via RT Image Suite. These tests have been performed to test the ability of the included features of the subject device. The results of these tests demonstrate that the subject device performs as intended. The result of all conducted testing was found acceptable to support the claim of substantial equivalence.
### General Safety and Effectiveness Concerns:
The device labeling contains instructions for use and any necessary cautions and warnings to provide for safe and effective use of the device. Risk management is ensured via a hazard analysis, which is
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used to identify potential hazards. These potential hazards are controlled during development, verification and validation testing.
syngo.via RT Image Suite is designed to fulfill the requirements of the following safety and performance standards:
| Recognition<br>Number | Product<br>Area | Title of Standard | Reference<br>Number and Date | Publication<br>Date | Standards<br>Development<br>Organization |
|-----------------------|-----------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------|---------------------|------------------------------------------|
| 12-300 | Radiology | Digital Imaging and Communications in<br>Medicine (DICOM) Set | PS 3.1 - 3.20 | 06/27/2016 | NEMA |
| N/A | Software | Medical device software - Software life<br>cycle processes | 62304 First edition<br>2006-05 | 08/20/2012 | IEC |
| 5-40 | General | Medical devices – Application of risk<br>management to medical devices | 14971 Second<br>Edition 2007-03-<br>01 | 06/27/2016 | ISO |
| 5-85 | General | Medical electrical equipment - Part 1-6:<br>General requirements for basic safety<br>and essential performance - Collateral<br>Standard: Usability | 60601-1-6 Edition<br>3.0 | 07/09/2014 | IEC |
| N/A | General | Medical electrical equipment - Part 1-4:<br>General requirements for safety -<br>Collateral standard Programmable<br>electrical medical systems, Edition 1.1 | 60601-1-4:2000,<br>Consol. Ed. 1.1 | 09/08/2009 | IEC |
In this subject device six scientific articles are used to support the marketing claims provided in the product brochure.
# VIII. Conclusions
The predicate devices were cleared based on non-clinical supportive information. The subject device was tested using the same non-clinical methods. The subject device non-clinical data supports the safety of the software with verification and validation testing. Verification and Validation testing also demonstrates that syngo.via RT Image Suite performs as intended. The non-clinical test data demonstrates that syngo.via RT Image Suite device performance is comparable to the predicate devices that are currently marketed for the same intended use. Furthermore, for the subject device, syngo.via RT Image Suite, Siemens used the same testing with the same workflows as was used to clear the predicate devices. Since both devices were tested using the same methods. Siemens believes that the data generated from the syngo.via RT Image Suite testing supports a finding of substantial equivalence.
In summary, Siemens is of the opinion that the syngo.via RT Image Suite does not introduce any new potential safety risk and is substantially equivalent to and performs as well 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.