Routine clinical care angiography raw data; Published clinical literature (Gyano et al., 2019, Radiology)
Retrospective generation of DVA images from raw clinical angiography data to compare signal-to-noise ratio (SNR) and image quality against standard DSA imaging.
Peripheral Artery Disease; Angiography; Retrospective image processing; Signal-to-noise ratio
Clinical Evidence
Study Design
Population
Comparator
Key Endpoints
Comparison of the performance of DSA and DVA in lower limb X-ray angiography; Monocentric prospective, non-randomized, single-arm observational study with retrospective image generation; Follow-up/Duration: February to June 2017; Study Period: 2017
42 patients with symptomatic Peripheral Artery Disease (PAD, Fontaine IIa-IV); Sample Size: 42; Number of Sites: 1
Digital Subtraction Angiography (DSA) generated by Siemens Syngo workstation
Signal-to-noise ratio (SNR) and visual image quality
Indications for Use
Kinepict Medical Imaging Tool version v2.2 is intended to be used to visualize blood vessel structures by detecting the movement of the contrast medium bolus in standard-of-care angiography examination. This software is intended to be used in addition to, or as replacement for current DSA imaging. Kinepict Software can be deployed on independent hardware such as a stand-alone diagnostic review, post-processing, and reporting workstation. It can also be configured within a network to send and receive DICOM data. Furthermore, Kinepict Software can be deployed on systems of several angiography system family. It provides image guided solutions in the operating room, for image guided surgery, by Image Fusion and by navigation systems, image guided solutions in interventional cardiology and electrophysiology and image guided solutions for interventional oncology, interventional radiology, and interventional neuroradiology. Kinepict Software can also be combined with fluoroscopy systems or Radiographic systems.
Device Story
Software tool for real-time viewing, post-processing, and diagnostic review of medical images; inputs raw X-ray angiographic (XA) series data; utilizes Digital Variance Angiography (DVA) algorithm to detect contrast medium bolus movement; produces enhanced vascular images; deployed on standalone workstations or integrated into hospital networks via DICOM; used by interventional radiologists, vascular surgeons, and cardiologists in OR or clinical settings; assists physicians in evaluation, diagnosis, and treatment planning; provides higher signal-to-noise ratio (SNR) compared to traditional Digital Subtraction Angiography (DSA); improves visualization of vascular anatomy.
Clinical Evidence
Prospective, non-randomized, single-arm study of 42 patients (mean age 68.7) with symptomatic PAD. Compared DVA (Kinepict) vs. DSA (Syngo) images. Primary endpoints: SNR and visual quality. Results: Median SNR of DVA was 2.3-fold higher than DSA. In blinded evaluation of 238 image pairs by 6 experts, DVA was judged better in 69% of comparisons (inter-rater agreement 81%, Fleiss kappa 0.17, P < .001).
Technological Characteristics
Software-based medical imaging tool; DICOM-compliant; operates on Windows-based platforms or independent workstations; utilizes DVA algorithm for image processing; standalone or networked deployment; no specific hardware materials (software only).
Indications for Use
Indicated for visualization of blood vessel structures in patients undergoing standard-of-care angiography, including those with Peripheral Artery Disease (PAD, Fontaine IIa-IV).
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).
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ADMINISTRATION
March 5, 2020
Kinepict Health, Ltd. % Ms. Lilla Strobel Quality and Regulatory Manager Kelta k z Budakeszi, H-2092 HUNGARY
Re: K190993
Trade/Device Name: Kinepict Medical Imaging Tool version v2.2 Regulation Number: 21 CFR 892.2050 Regulation Name: Picture archiving and communications system Regulatory Class: Class II Product Code: LLZ Dated: January 29, 2020 Received: January 29, 2020
Dear Ms. Strobel:
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 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
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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 mediation-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
Thalia T. Mills, Ph.D. Director Division of Radiological Health OHT7: Office of In Vitro Diagnostics and Radiological Health Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
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### Indications for Use
510(k) Number (if known) K190993
Device Name Kinepict Medical Imaging Tool version v2.2
#### Indications for Use (Describe)
Kinepict Medical Imaging Tool version v2.2 is intended to visualize blood vessel structures by detecting the movement of the contrast medium bolus in standard-of-care angiography examination. This software is intended to be used in addition to, or as replacement for current DSA imaging.
Kinepict Software can be deployed on independent hardware such as a stand-alone diagnostic review, post-processing, and reporting workstation. It can also be configured within a network to send and receive DICOM data. Furthermore, Kinepict Software can be deployed on systems of several angiography system family. It provides image guided solutions in the operating room, for image guided surgery, by Image Fusion and by navigation systems, image guided solutions in interventional cardiology and electrophysiology and image guided solutions for interventional oncology, interventional radiology, and interventional neuroradiology.
Kinepict Software can also be combined with fluoroscopy systems or Radiographic systems.
| Type of Use (Select one or both, as applicable) | |
|-------------------------------------------------------------|------------------------------------------------------------|
| <span> </span> Prescription Use (Part 21 CFR 801 Subpart D) | <span> </span> Over-The-Counter Use (21 CFR 801 Subpart C) |
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Image /page/3/Picture/1 description: The image shows the logo for Kinepict Medical Imaging Tool. The logo consists of the word "Kinepict" in a bold, red font, with three red squares and one black square above it. Below the logo, the text "Kinepict Medical Imaging Tool Traditional 510(k)" is displayed.
# 6. 510(k) Summary
510(K) Summary: Kinepict Health Imaging Tool
- Company: Kinepict Health Ltd 2092 Kelta köz 5. Budakeszi, Hungary
Date Prepared:
This 510(k) summary of safety and effectiveness information is being submitted in accordance with the requirements of SMDA 1990 and 21 CFR § 807.92.
### General Information:
### Importer/Distribution
Kinepict Health Ltd
2092 Kelta köz 5.
Budakeszi, Hungary
### Manufacturing Site:
Kinepict Health Ltd
1025 Budapest Júlia utca 11
Budapest, Hungary
### Contact Person
Ms. Lilla Strobel
Quality Assurance Manager
Kinepict Health Ltd Hungary
1025 Budapest Júlia utca 11
Budapest, Hungary
Phone: +36317852260
Email: lilla.strobel@kinepict.com
### Device Name and Classification:
Trade Name: Kinepict Medical Imaging Tool version v2.2 Classification Name: Picture Archiving and Communications system
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Image /page/4/Picture/1 description: The image shows the logo for Kinepict Medical Imaging Tool. The logo consists of the word "Kinepict" in a stylized font, with three orange squares and one black square above the word. Below the logo, the text "Kinepict Medical Imaging Tool Traditional 510(k)" is displayed.
| Classification Panel: | Radiology |
|-----------------------------------|---------------------------------------------|
| Classification Regulation: | 21 CFR §892. 2050 |
| Device Class: | Class II |
| Product Code: | LLZ |
| Legally Marketed Predicate Device | |
| Trade Name: | Syngo Application Software VD11 |
| 510(k) Clearance | K153346 |
| Clearance Date | February 24, 2015 |
| Classification Name: | Picture Archiving and Communications System |
| Classification Panel: | Radiology |
| CFR Section: | 21 CFR §892. 2050 |
| Device Class: | Class II |
| Product Code: | LLZ |
Recall Information: This predicate device has not been the subject of any design related recalls.
- a. Device Description:
The Kinepict Medical Imaging Tool is medical diagnostic software for real-time viewing, diagnostic review, post-processing, image manipulation, optimization, communication, reporting and storage of medical images and data on exchange media. It provides image guided solutions in the operating room, for image guided surgery, by Image Fusion and by navigation systems, image guided solutions in interventional cardiology and electrophysiology and image guided solutions for interventional oncology, interventional radiology, and interventional neuroradiology. It can be deployed with Syngo Application Software VD11 (Siemens Medical Solutions USA Inc. under K153346) or Windows based software options, which are intended to assist the physician in evaluation of digital radiographic examinations, including diagnosis and/or treatment planning.
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Image /page/5/Picture/1 description: The image shows the logo for Kinepict Medical Imaging Tool. The logo consists of the word "Kinepict" in a stylized font, with three red squares and one black square above the word. Below the logo, the text "Kinepict Medical Imaging Tool Traditional 510(k)" is displayed. The text is in a simple, sans-serif font.
Kinepict Medical Imaging Tool is designed to work with digital radiographic, fluoroscopic, interventional and angiographic systems. The software platform with common software architecture, platform
Kinepict Health Ltd Hungary, hereby submits this Traditional 510(k) to request clearance for the Subject Device (Kinepict Medical Imaging Tool).
- b. Intended use
Kinepict Medical Imaging Tool version v2.2 is intended to be used to visualize blood vessel structures by detecting the movement of the contrast medium bolus in standard-of-care angiography examination. This software is intended to be used in addition to, or as replacement for current DSA imaging.
Kinepict Software can be deployed on independent hardware such as a stand-alone diagnostic review, post-processing, and reporting workstation. It can also be configured within a network to send and receive DICOM data. Furthermore, Kinepict Software can be deployed on systems of several angiography system family. It provides image guided solutions in the operating room, for image guided surgery, by Image Fusion and by navigation systems, image guided solutions in interventional cardiology and electrophysiology and image guided solutions for interventional oncology, interventional radiology, and interventional neuroradiology.
Kinepict Software can also be combined with fluoroscopy systems or Radiographic systems.
### c. Substantial Equivalence
The Kinepict software has the same intended use as the Syngo Application Software VD11 (Siemens Medical Solutions USA Inc. under K153346)workstation software. Between the two software is one important difference that Kinepict sotfware image proccessing algorythm optimised to calculate the Kinetic images, and Syngo Application Software VD11 (Siemens Medical Solutions USA Inc. under K153346) optimised to DSA images. Between the postprocessing functions: contrast and brightness settings, choosing mask image, pixel shift applications and anonimising
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Image /page/6/Picture/1 description: The image shows the logo for Kinepict Medical Imaging Tool. The logo consists of the word "Kinepict" in a bold, sans-serif font, with four orange squares and one black square above the word. Below the logo, the text "Kinepict Medical Imaging Tool Traditional 510(k)" is displayed.
options has been proven to similar in two software. Image storing and image sending functions are used the same DICOM technic and ports as Syngo Application Software VD11 (Siemens Medical Solutions USA Inc. under K153346).
These differences do not have an effect on safety and efficiency compared with the predicate software. In summary, the Kinepict software does not introduce any new potential safety risks and is substantially equivalent to and performs as well as the predicate device.
In conclusion, the Kinepict is substantially equivalent to Syngo Application Software VD11 (Siemens Medical Solutions USA Inc. under K153346).
## d. Performance Data
## a. Clinical data
The statistical description of the visual comparison of the image pairs was divided into two parts. First agreement of the clinicians (inter-rater reliability) was determined using percentages of agreement and Fleiss' kappa calculations (kappa and p values). Thereafter the proportion of answers (which image is better in the given comparison) with 95% confidence interval was determined. Calculations were made by Stata 15.0 statistical data analysis software (StataCorp, Texas, USA).
Clinical Study
The performance of the Kinepict Medical Imaging Tool and the Digital Variance Angiography (DVA) technology was tested in two prospective observational clinical studies on patients with Peripheral Artery Disease (PAD, Fontaine IIa-IV) involving 42, using iodinated contrast media (ICM).
Comparison of the performance of DSA and DVA in lower limb X-ray angiography usina ICM
The clinical study was a monocentric prospective, non-randomized, single-arm study of 42 patients with symptomatic PAD. Enrolled 42 participants undergoing lower-limb x-ray angiography between February and June 2017 (mean age, 68.7 years; age range, 49-89 years; 32 men [mean age, 67.1 years; age range, 49-89 years] and 10 women [mean age, 75 years; age range, 57-85 years The patients received the રૂટ
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K190993
Image /page/7/Picture/1 description: The image shows the logo for Kinepict Medical Imaging Tool. The logo consists of the word "Kinepict" in a stylized font, with a series of red squares and one black square above the word. Below the logo, the text "Kinepict Medical Imaging Tool Traditional 510(k)" is displayed.
standard clinical care before, during and after the angiographic procedures, the institutional protocols were not modified in any aspect. The DVA images were generated retrospectively from the raw data obtained from a Siemens Artis Zee with Pure angiography system at the Heart and Vascular Center, Budapest, Hungary (HVC). The DSA images were generated by the Siemens Synqo workstation (XWP VD11B Service Pack 2), the DVA images were generated by the KMIT software.
Primary effectiveness endpoints and results:
The signal-to-noise ratio (SNR) and the visual quality of DVA and DSA images were evaluated. SNR comparison. A total of 1902 regions of interest were carefully selected in 110 image pairs to calculate and compare the SNRs. The overall median SNR of DVA images was 2.3-fold higher than that of DSA images. Visual evaluation. The quality of 238 pairs of DSA and DVA images was compared by 6 clinical experts (vascular surgeons and interventional radiologists with a clinical experience of at least 8 years) in a blinded, randomized manner. Raters judged the DVA images better in 69 % of all comparisons. The interrater agreement was 81% and Fleiss к was 0.17 (P < .001). For further details see our publication (Gyano et al, 2019, Radiology, 290:146-253).
### Summary and Conclusions
Our clinical studies provided evidence that the DVA images generated by the KMIT software have higher SNR and better image quality than the DSA images generated by the Syngo workstation, thus the effectiveness profile of KMIT is at least as qood as that of the predicate device. As an additional tool, it does not raise any additional risk comparing to the predicate device.
The most important datasets confirming our claims are:
. Kinetic images provided 3.3 times (median) and 2.3 times (median) better Signal to Noise Ratio(SNR) than raw and post-processed DSA images, respectively.
Six specialists compared 238 pairs of kinetic and DSA images, and the LA (level . of agreement) was > 73% (p > 0.0001) that kinetic imaging provided higher quality
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Image /page/8/Picture/1 description: The image shows the logo for Kinepict Medical Imaging Tool. The logo consists of the word "Kinepict" in a bold, sans-serif font, with four squares above it. Three of the squares are red, and one is black. Below the logo, the text "Kinepict Medical Imaging Tool Traditional 510(k)" is displayed.
images than DSA obtained from Syngo Application Software VD11 (Siemens Medical Solutions USA Inc. under K153346).
## b. Non-Clinical Data
The purpose of the test was to compare the signal-to-noise ratio (SNR) of digital variance angiograms (DVA) and digital subtraction angiograms (DSA). All DVA images were created using Kinepict Medical Imaging Tool v2.2.0.47 All DSA images were created using Siemens syngo VD11. The same set of X-ray angiographic (XA) series were used to create DVA and DSA images. There are 4 main steps of the test.
Step 1.: Data used: XA series acquired as part of the clinical study: 2830/2017
Results: 45 anonymized XA series from multiple patients along with corresponding DSA images were successfully selected adhering to the selection criteria.
Step 2.: Data used: 45 XA series selected in Step 1.
Results: All DVA images were successfully created using Kinepict Medical Imaging Tool v2.2.0.476. The images were successfully stored as DICOM files.
Step 3.: Data used: 45 DSA images selected in Step 1 and 45 DVA images created in Step 2 with 45 previously created corresponding ROI sets loaded from the clinical study dataset.
Results: ROI sets were successfully applied to DVA and DSA images. ROI's showed no misplacement, confirming that the vascular anatomy visible on DVA and DSA images do not differ. Result tables were successfully generated using the ImageJ script. The tables were arranged and the SNR values and ratios were successfully calculated.
Step 4.: Data used: 45 DSA images selected in Step 1 and 45 DVA images created in Step 2 with 45 previously created corresponding ROI sets loaded from the clinical study.
Conclusion
The non clinical test concluded that DVA images created using Kinepict Medical Imaging Tool v2.2.0.476 provides better signal to noise ratio than DSA images created using Syngo Application Software VD11 (Siemens Medical Solutions USA Inc. under K153346). Therefore the substantial equivalence is proven.
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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.