CNR improved 1.1 to 1.5 times higher than conventional NR.
Existing clinical image database
—
Archived clinical cases
2 (physicians)
Indications for Use
As a part of the Canon radiography system, the CXDI Control Software when used with a compatible Canon detector is intended to provide digital image capture, processing, and display for conventional film/screen radiographic examinations. This device is intended to replace radiographic film/screen systems in all general purpose diagnostic procedures including specialist areas like intensive care, trauma, and pediatric work. It is also used for generating fluoroscopic images, when integrated into the X-ray diagnostic systems, to replace the spot-film devices and the X-ray image intensifiers. As part of the CXDI Control Software, the Intelligent NR utilizes artificial intelligence based algorithms to reduce noise in fluoroscopic images. Not intended for mammography applications.
Device Story
Intelligent NR is an optional software function within Canon CXDI Control Software (V3.13) designed to reduce noise in fluoroscopic images. It operates on a PC connected to compatible Canon X-ray detectors. The device utilizes a machine-learning algorithm, previously trained on a clinical image database, to process fluoroscopic data and generate noise-reduced images/videos for display on a monitor. It does not perform further machine learning post-release. The system is used by clinicians in diagnostic settings to replace traditional spot-film devices and image intensifiers. By improving the contrast-to-noise ratio (CNR) without degrading spatial resolution or contrast, the device assists healthcare providers in visualizing anatomy more clearly, potentially aiding diagnostic decision-making. The device is integrated into existing X-ray diagnostic workflows; no firmware changes to the detectors are required.
Clinical Evidence
Bench testing only. Evaluation included qualitative assessments of spatial resolution, contrast-to-noise ratio (CNR), and a reader imaging performance evaluation by two independent physicians. Results showed no change in contrast transfer function (CTF) or spatial resolution. CNR improved by 1.1 to 1.5 times compared to conventional noise reduction. Reader evaluation confirmed images processed with Intelligent NR were superior to those processed with conventional NR. FMEA methodology was used for risk analysis. Compliance with IEC 62304:2015 and cybersecurity controls verified.
Technological Characteristics
Software-based noise reduction function operating on a PC. Utilizes machine-learning algorithms trained on clinical image databases. Compatible with existing Canon detectors. Complies with IEC 62304:2015 for software lifecycle. Cybersecurity controls implemented. Does not perform adaptive learning post-release.
Indications for Use
Indicated for digital image capture, processing, and display for general purpose diagnostic radiographic and fluoroscopic examinations in patients including intensive care, trauma, and pediatric populations. Not intended for mammography.
Regulatory Classification
Identification
An image-intensified fluoroscopic x-ray system is a device intended to visualize anatomical structures by converting a pattern of x-radiation into a visible image through electronic amplification. This generic type of device may include signal analysis and display equipment, patient and equipment supports, component parts, and accessories.
Special Controls
*Classification.* Class II (special controls). An anthrogram tray or radiology dental tray intended for use with an image-intensified fluoroscopic x-ray system only is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 892.9. In addition, when intended as an accessory to the device described in paragraph (a) of this section, the fluoroscopic compression device is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 892.9.
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FDA U.S. FOOD & DRUG ADMINISTRATION
April 30, 2026
Canon Inc.
% Saori Sawaki
Business Manager, Regulatory Consultant
Ken Block Consulting LLC
3400 N Central Expy Ste 100-265
RICHARDSON, TX 75080
Re: K252503
Trade/Device Name: Intelligent NR
Regulation Number: 21 CFR 892.1650
Regulation Name: Image-Intensified Fluoroscopic X-Ray System
Regulatory Class: Class II
Product Code: OWB, MQB
Dated: March 30, 2026
Received: March 31, 2026
Dear Saori Sawaki:
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 (the 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 available 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.
U.S. Food & Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993
www.fda.gov
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K252503 - Saori Sawaki
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Additional information about changes that may require a new premarket notification are provided in the FDA guidance documents entitled "Deciding When to Submit a 510(k) for a Change to an Existing Device" (https://www.fda.gov/media/99812/download) and "Deciding When to Submit a 510(k) for a Software Change to an Existing Device" (https://www.fda.gov/media/99785/download).
Your device is also subject to, among other requirements, the Quality Management System Regulation (QMSR) (21 CFR Part 820), which includes, but is not limited to, ISO 13485 clause 7.3 (Design controls), ISO 13484 clause 8.3 (Nonconforming product), and ISO 13485 clause 8.5 (Corrective and preventative action). Please note that regardless of whether a change requires premarket review, the QMSR requires device manufacturers to review and approve changes to device design and production (ISO 13485 clause 7.3 and 21 CFR 820.70) and document changes and approvals in the device master record (21 CFR 820.181).
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 Part 803) for devices or postmarketing safety reporting (21 CFR Part 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reporting-combination-products); good manufacturing practice requirements as set forth in the Quality Management System Regulation (QMSR) (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR Part 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR Parts 1000-1050.
All medical devices, including Class I and unclassified devices and combination product device constituent parts are required to be in compliance with the final Unique Device Identification System rule ("UDI Rule"). The UDI Rule requires, among other things, that a device bear a unique device identifier (UDI) on its label and package (21 CFR 801.20(a)) unless an exception or alternative applies (21 CFR 801.20(b)) and that the dates on the device label be formatted in accordance with 21 CFR 801.18. The UDI Rule (21 CFR 830.300(a) and 830.320(b)) also requires that certain information be submitted to the Global Unique Device Identification Database (GUDID) (21 CFR Part 830 Subpart E). For additional information on these requirements, please see the UDI System webpage at https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance/unique-device-identification-system-udi-system.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 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-devices/medical-device-safety/medical-device-reporting-mdr-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/medical-devices/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-devices/device-advice-comprehensive-regulatory-
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K252503 - Saori Sawaki
Page 3
assistance/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,

Lu Jiang, Ph.D.
Assistant Director
Diagnostic X-Ray Systems Team
DHT8B: Division of Radiological Imaging Devices and Electronic Products
OHT8: Office of Radiological Health
Office of Product Evaluation and Quality
Center for Devices and Radiological Health
Enclosure
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FORM FDA 3881 (8/23)
Page 1 of 1
PSC Publishing Services (301) 443-6740
EF
| DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration Indications for Use | Form Approved: OMB No. 0910-0120 Expiration Date: 07/31/2026 See PRA Statement below. |
| --- | --- |
| 510(k) Number (if known) K252503 | |
| Device Name Intelligent NR | |
| Indications for Use (Describe) As a part of the Canon radiography system, the CXDI Control Software when used with a compatible Canon detector is intended to provide digital image capture, processing, and display for conventional film/screen radiographic examinations. This device is intended to replace radiographic film/screen systems in all general purpose diagnostic procedures including specialist areas like intensive care, trauma, and pediatric work. It is also used for generating fluoroscopic images, when integrated into the X-ray diagnostic systems, to replace the spot-film devices and the X-ray image intensifiers. As part of the CXDI Control Software, the Intelligent NR utilizes artificial intelligence based algorithms to reduce noise in fluoroscopic images. Not intended for mammography applications. | |
| Type of Use (Select one or both, as applicable) ☑ 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." | |
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Canon
# 510(k) Summary
K252503
Applicant/ Sponsor: Canon Inc.
30-2, Shimomaruko 3-chome Ohta-Ku, Tokyo 146-8501, Japan
Contact Person:
Saori Sawaki, Business Manager
Ken Block Consulting, LLC
3400 N Central Expy., Suite 100-265,
Richardson, TX 75080 USA
(972) 480-9554
sawaki@kenblockconsulting.com
Mr. Masahiro Abe
General Manager
TEL: 81-3-3758-2111
FAX: 81-44-739-6695
abe.masahiro141@mail.canon
| Subject Device | Manufacturer: | Canon Inc. |
| --- | --- | --- |
| | Trade Name: | Intelligent NR |
| | Classification Name: | Image-intensified fluoroscopic x-ray system |
| | Classification Product Code: | OWB |
| | Subsequent Product Codes: | MQB |
| | Regulation Number: | 21 CFR 892.1650 |
| | Regulation Name: | Image-intensified fluoroscopic x-ray system |
| | Class: | II |
| Predicate Device: | Clearance: | K232298 |
| --- | --- | --- |
| | Manufacturer: | Canon Inc. |
| | Trade Name: | DIGITAL RADIOGRAPHY CXDI-RF Wireless B1 |
| | Classification Name: | Image-intensified fluoroscopic x-ray system |
| | Classification Product Code: | OWB |
| | Subsequent Product Codes: | MQB |
| | Regulation Number: | 21 CFR 892.1650 |
| | Regulation Name: | Image-intensified fluoroscopic x-ray system |
| | Class: | II |
| Reference Device: | Clearance: | K212269 |
| --- | --- | --- |
| | Manufacturer: | Canon Inc. |
| | Trade Name: | Intelligent NR |
| | Classification Name: | Solid state x-ray imager (flat panel/digital imager) |
| | Classification Product Code: | MQB |
| | Regulation: | 21 CFR 892.1680, Stationary x-ray system |
| | Class: | II |
| Device Description: | The Intelligent NR (Intelligent Noise Reduction) function is a part of the CXDI Control Software for the Canon detectors (with version 3.13 of the CXDI Control Software) that makes use of the Intelligent NR function to reduce noise for X-ray images taken using the Canon detectors. The Intelligent NR function was developed using machine-learning and trained by using an existing clinical image database to learn the characteristics of noises and display/create noise reduced images and videos. The Intelligent NR function does not perform machine learning after release to users. The CXDI control software, which Intelligent NR is a part |
| --- | --- |
510(k) Summary
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Canon
of, provides system control, controls GUI on the monitor, and processes images. The Intelligent NR function works on a PC and displays to a monitor. The Intelligent NR function is used in conjunction with the cleared Canon detectors compatible with CXDI Control Software V3.13. The firmware within compatible Canon detectors to be used with this device is unchanged, and no firmware update is necessary for compatibility with Intelligent NR.
Indications for Use:
As a part of the Canon radiography system, the CXDI Control Software when used with a compatible Canon detector is intended to provide digital image capture, processing, and display for conventional film/screen radiographic examinations. This device is intended to replace radiographic film/screen systems in all general purpose diagnostic procedures including specialist areas like intensive care, trauma, and pediatric work.
It is also used for generating fluoroscopic images, when integrated into the X-ray diagnostic systems, to replace the spot-film devices and the X-ray image intensifiers.
As part of the CXDI Control Software, the Intelligent NR utilizes artificial intelligence based algorithms to reduce noise in fluoroscopic images. Not intended for mammography applications.
Summary of Technological Characteristics:
The Indications for Use statement for the proposed device differs slightly from that of the predicate device. This distinction is due to the predicate device being a sensor detector unit, whereas the proposed device is software designed to operate with a compatible Canon sensor detector, such as the predicate device.
Additionally, the intended use of the subject software function has been added to the Indications for Use Statement to reflect the core purpose of this submission, which is supported by the performance testing conducted. Despite these differences, the intended use and clinical application of both devices are the same.
The Intelligent NR for dynamic imaging is a newly implemented optional fluoroscopy imaging function in the proposed device. This function utilizes a machine learning algorithm to automatically reduce image noise in fluoroscopy data. The same algorithm was previously used in the reference device to reduce noise in radiology images.
The addition of the Intelligent NR function has been thoroughly evaluated and verified through validation activities. These assessments support the conclusion of substantial equivalence and demonstrate that the differences between the proposed and predicate devices do not introduce new questions regarding safety or effectiveness.
510(k) Summary
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Canon
| | Proposed Device | Predicate Device | Reference Device |
| --- | --- | --- | --- |
| Trade Name | Intelligent NR | DIGITAL RADIOGRAPHY CXDI-RF Wireless B1 | Intelligent NR |
| 510(k) Submitter [Number] | Canon Inc. | Canon, Inc. [K232298] | Canon Inc. [K212269] |
| Indication for Use | As a part of the Canon radiography system, the CXDI Control Software when used with a compatible Canon detector is intended to provide digital image capture, processing, and display for conventional film/screen radiographic examinations. This device is intended to replace radiographic film/screen systems in all general purpose diagnostic procedures including specialist areas like intensive care, trauma, and pediatric work. It is also used for generating fluoroscopic images, when integrated into the X-ray diagnostic systems, to replace the spot-film devices and the X-ray image intensifiers. As part of the CXDI Control Software, the Intelligent NR utilizes artificial intelligence based algorithms to reduce noise in fluoroscopic images. Not intended for mammography applications. | DIGITAL RADIOGRAPHY CXDI-RF Wireless B1 is indicated for use in generating radiographic images of human anatomy to replace the radiographic film/screen systems in all general purpose diagnostic procedures. It is also used for generating fluoroscopic images, when integrated into the X-ray diagnostic systems, to replace the spot-film devices and the X-ray image intensifiers. Not intended for mammography applications. | As a part of the Canon radiography system, the CXDI Control Software when used with a compatible Canon detector is intended to provide digital image capture, processing, and display for conventional film/screen radiographic examinations. This device is intended to replace radiographic film/screen systems in all general purpose diagnostic procedures including specialist areas like intensive care, trauma, and pediatric work. This device is not intended for fluoroscopic, angiographic, or mammography applications. |
| Application / Intended Use | Fluoroscopy and General Radiology | Fluoroscopy and General Radiology | General Radiology |
| Software / Version | CXDI Control Software V3.13 | CXDI Control Software V3.11 | CXDI Control Software V3.10 |
| Optional Radiology Image Processing Functions | Free Rotating, Scatter Correction, Enhancement Control, Intelligent NR function, One Shot Long Length Imaging, Multiple Shot One exposure per image | Free Rotating, Scatter Correction, Enhancement Control | Free Rotating, Scatter Correction, Enhancement Control, Intelligent NR function, One Shot Long Length Imaging, Multiple Shot One exposure per image |
| Optional Fluoroscopy Imaging Function | Scatter Correction Intelligent NR for Dynamic Imaging | Scatter Correction | N/A |
Summary of Non-Clinical/ Clinical Test Data:
Tests were performed on the CXDI Control Software, including the Intelligent NR function, and demonstrated that the device is safe and effective, performs comparably to the predicate device, and is substantially equivalent to the predicate and reference devices. Tests included verification/validation testing to internal software specifications and image comparisons involving flat panel display images with noises reduced by the Intelligent NR, comprising qualitative assessments of spatial resolution, contrast-to-noise ratio (CNR), and a reader imaging performance evaluation. The contrast transfer function (CTF) with Intelligent NR showed no change. Contrast was maintained, and no degradation in spatial resolution was observed. The CNR with Intelligent NR was improved, measuring approximately 1.1 to 1.5 times higher than that of the conventional NR. The reader evaluation was performed by two independent physicians, each of whom assessed archived clinical cases processed with both the conventional noise-reduction function and
510(k) Summary
{7}
Canon
Intelligent NR. The readers confirmed that image quality improved in descending order of processing intensity, and in all cases, images processed with Intelligent NR were judged superior to those processed with conventional NR. The risks and hazardous impacts of the device modification were analyzed by FMEA methodology. The specific risk control and protective measures to mitigate the risks from the modification were reviewed and implemented as part of product design. The overall assessment concluded that all identified risks and hazardous conditions were successfully mitigated and accepted. The proposed Intelligent NR demonstrated compliance with IEC 62304:2015 and has cybersecurity controls in place. Together, these verification/validation activities successfully demonstrated that the Intelligent NR correctly performs as designed, has been validated for its intended use, and raises no new questions regarding either safety or effectiveness when compared to the predicate device. Therefore, the verification/validation testing conducted supports a determination of substantial equivalence for the Intelligent NR.
As reported in prior submissions to FDA, the compatible detectors comply with the U.S. Performance Standard for radiographic equipment and with relevant voluntary safety standards for Electrical Safety and Electromagnetic Compatibility testing, specifically IEC standards 60601-1, 60601-1-2, 60601-1-3, and 60601-2-32.
Conclusion:
Canon Inc. considers the Intelligent NR to be substantially equivalent to the predicate device listed above. This conclusion is based on the similarities in application/intended use, principles of operation, functional design, and established medical use.
510(k) Summary
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.