The GC85A Digital X-ray Imaging System is intended for use in generating radiographic images of human anatomy by a qualified/trained doctor or technician. This device is not intended for mammographic applications.
Device Story
Digital X-ray imaging system; captures human anatomy images via X-ray transmission to flat-panel detector. Detector converts X-rays to electrical signals; S-station (Operation Software) performs amplification, digital conversion, and DICOM file saving. Image Post-processing Engine (IPE) tunes images; output sent to PACS for clinical review. Used in clinical settings by physicians or technicians. Modifications include expanded hardware configurations (ceiling suspension, wall stand, collimators), additional detector models, and new software features: Vision Assist, Value-up Package, and Dual Energy Subtraction. Dual Energy Subtraction enhances diagnostic utility by processing images to isolate specific tissue types. System supports clinical decision-making by providing high-quality radiographic images for diagnostic interpretation.
Clinical Evidence
Non-clinical phantom evaluation compared Dual Energy Subtraction function against reference device (K132261); assessed by three radiologists with no significant difference in image quality. Supplemental clinical image evaluation confirmed equivalent image quality using patient images. Bench testing performed per ES 60601-1, IEC 60601-1-3, IEC 60601-2-28, IEC 60601-2-54, and IEC 60601-1-2.
Technological Characteristics
Stationary X-ray system; digital flat-panel detector technology. Hardware includes ceiling suspension, wall stands, and collimators. Software includes S-station OS with IPE and optional features (Vision Assist, Dual Energy Subtraction). Connectivity via DICOM standard to PACS. Complies with ANSI AAMI ES60601-1, IEC 60601-1-2, IEC 60601-1-3, IEC 60601-2-28, IEC 60601-2-54, and IEC 62220-1-1. Cybersecurity and software functions managed per FDA guidance.
Indications for Use
Indicated for generating radiographic images of human anatomy for use by qualified/trained doctors or technicians. Not intended for mammographic applications.
Regulatory Classification
Identification
A stationary x-ray system is a permanently installed diagnostic system intended to generate and control x-rays for examination of various anatomical regions. 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). A radiographic contrast tray or radiology diagnostic kit intended for use with a stationary 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.
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FDA U.S. FOOD & DRUG ADMINISTRATION
August 27, 2026
Samsung Electronics Co., Ltd
% Jaesang Noh
Regulatory Affairs, Principal Professional
129 Samsung-Ro, Yeongtong-gu,
SUWON-SI GYEONGGI-DO 16677
REPUBLIC OF KOREA
Re: K260481
Trade/Device Name: GC85A
Regulation Number: 21 CFR 892.1680
Regulation Name: Stationary X-Ray System
Regulatory Class: Class II
Product Code: KPR
Dated: February 2, 2026
Received: July 30, 2026
Dear Jaesang Noh:
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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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 13485 clause 8.3 (Nonconforming product), ISO 13485 clause 8.5.2 (Corrective action), and ISO 13485 clause 8.5.3 (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 ISO 13485 clause 7.5) and document changes and approvals in the Medical Device File (ISO 13485 clause 4.2.3).
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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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,
for
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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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)
K260481
Device Name
GC85A
Indications for Use (Describe)
The GC85A Digital X-ray Imaging System is intended for use in generating radiographic images of human anatomy by a qualified/trained doctor or technician. This device is not intended for mammographic 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.\***
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FORM FDA 3881 (8/23)
Page 1 of 1
PSC Publishing Services (301) 443-6740 EF
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SAMSUNG ELECTRONICS Co., Ltd.
SAMSUNG
510(k) Premarket Notification - Traditional K260481
## 510(k) Summary
This summary of 510(k) safety and effectiveness information is being submitted accordance with requirements of 21 CFR 807.92
1. Date: February 11, 2026
2. Submitter
A. Company Name: SAMSUNG ELECTRONICS Co., Ltd.
B. Address: 129, Samsung-ro, Yeongtong-gu, Suwon-si, Gyeonggi-do, 16677, Republic of Korea
3. Primary Contact Person
A. Name: JAESANG NOH
B. Title: Regulatory Affairs, Principal Professional
C. Phone Number: +82-2-2193-2444
D. FAX Number: +82-2-2194-0284
E. E-Mail: jaesang.noh@samsung.com
4. Secondary Contact Person
A. Name: Ninad Gujar
B. Title: Vice President, Regulatory Affairs & Quality Control
C. Phone Number: 978-564-8503
D. FAX Number: 978-560-0602
E. E-Mail: ngujar@neurologica.com
5. Proposed Device
A. Trade Name: GC85A
B. Device Name: GC85A
C. Common Name: Digital Diagnostic X-ray System
D. Classification Name: Stationary X-ray System
E. Product Code: KPR
F. Regulation: 21 CFR 892.1680
6. Predicate Devices
| | Predicate Device |
| --- | --- |
| Device Name | GC85A |
| Classification Name | Stationary X-ray System |
| Product Code | KPR |
| Regulation | 21 CFR 892.1680 |
| 510(K)# | K181629 |
| 510(K) Decision Date | July 20, 2018 |
1
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SAMSUNG ELECTRONICS Co., Ltd.
SAMSUNG
510(k) Premarket Notification - Traditional
# 7. Reference Devices
| | Reference Device #1 | Reference Device #2 | Reference Device #3 |
| --- | --- | --- | --- |
| Device Name | GF85 (Models GF85-3P, GF85-SP) | GM85 | Discovery XR656 |
| Classification Name | Stationary X-ray System | Mobile X-ray System | Stationary X-ray System |
| Product Code | KPR | IZL | KPR, MQB and IZF |
| Regulation | 21 CFR 892.1680 | 21 CFR 892.1720 | 21 CFR 892.1680, 892.1680 and 892.1740 |
| 510(K)# | K242478 | K242651 | K132261 |
| 510(K) Decision Date | September 19, 2024 | October 1, 2024 | November 18, 2013 |
# 8. Device Description
The GC85A digital X-ray imaging system is used to capture images by transmitting X-ray to a patient's body. The X-ray passing through a patient's body is sent to the detector and then converted into electrical signals. These signals go through the process of amplification and digital data conversion in the signal process on the S-station, which is the Operation Software (OS) of Samsung Digital Diagnostic X-ray System, and save in DICOM file, a standard for medical imaging. The captured images are tuned up by an Image Post-processing Engine (IPE) which is exclusively installed in S-station, and sent to the Picture Archiving & Communication System (PACS) sever for reading images.
# 9. Intended Use
The GC85A Digital X-ray Imaging System is intended for use in generating radiographic images of human anatomy by a qualified/trained doctor or technician. This device is not intended for mammographic applications.
# 10. Summary of Technological characteristic of the proposed device compared with the predicate devices
The GC85A digital X-ray imaging system was previously cleared with K181629. This submission is for a modified version of the GC85A.
The modifications consist of the introduction of new optional hardware configurations and enhanced software functionalities. The fundamental scientific technology and intended use the modified device remain identical to the predicate device.
Substantial equivalence for these modifications is established through a multi-faceted strategy that includes: 1) leveraging technology and components identical to those cleared in other legally marketed Samsung X-ray systems (e.g., GF85 – K242478, GM85 – K242651), and 2) demonstrating through performance testing and risk analysis that any new components or features do not raise new questions of safety or effectiveness.
The proposed modified GC85A and predicate device (K181629) are substantially equivalent in terms of intended use, operational principles, and fundamental scientific
2
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SAMSUNG ELECTRONICS Co., Ltd.
SAMSUNG
510(k) Premarket Notification - Traditional
technology. A summary comparison of their key features is provided below.
A. Comparing with Predicate Device
| Feature | Predicate Device (GC85A, K181629) | Proposed Device (GC85A) | Discussion |
| --- | --- | --- | --- |
| Intended Use | The GC85A digital X-ray imaging system is intended for use in generating radiographic images of human anatomy by a qualified/trained doctor or technician. This device is not intended for mammographic applications. | The GC85A Digital X-ray Imaging System is intended for use in generating radiographic images of human anatomy by a qualified/trained doctor or technician. This device is not intended for mammographic applications. | No change in intended use |
| Imaging Technology | Digital Flat-Panel Detector | Digital Flat-Panel Detector | No change in fundamental technology |
| Hardware Configuration | Established set of previously cleared hardware options | Expanded selection of optional configurations | Difference: The proposed device offers an expanded range of hardware choices by adding models for the Ceiling Suspension, Wall Stand, and Collimators. Justification: These are minor mechanical modifications that do not impact safety or imaging performance, as confirmed by risks analysis. |
| Detector Options | Previously cleared set of 5 detector models | Expanded with 6 additional models | Difference: Six new detector models are offered, expanding the available options. Justification: These additional detectors are identical to those previously cleared in the GM85 (K242451), establishing their safety and performance. |
| Software Features | Feature set with previously cleared optional functions. | Adds new optional software features and packages ("Vision Assist", "Value-up Package", and "Dual Energy Subtraction") | Difference: The proposed device expands the available software capabilities by introducing new optional features Justification: The majority of these |
3
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SAMSUNG ELECTRONICS Co., Ltd.
SAMSUNG
510(k) Premarket Notification - Traditional
| | | | features are identical to those cleared in the GF85 (K242478) and GM85 (K242651). The new Dual Energy Subtraction feature operates on the same scientific principles as other legally marketed devices and has been verified through performance testing. |
| --- | --- | --- | --- |
# B. Safety, EMC and Performance Data
Electrical, mechanical, environmental safety and performance testing were successfully performed in accordance with internationally recognized standards, including ES 60601-1, IEC 60601-1-3, IEC 60601-2-28, and IEC 60601-2-54. EMC testing was verified according to IEC 60601-1-2. All modifications were assessed under ISO14971 compliant risk management process, which confirmed no new unacceptable risks are introduced.
# C. Software Verification and Validation
The integrity and performance of the device's software were validated through a multi-tiered testing strategy:
. Comprehensive Integration Testing: As the foundation of our validation, full integration testing was conducted on the entire software system. This testing, documented in the Test Case, verifies that all software modules – including new features and critical update (such as those addressing software component end-of-life) – function correctly as a single, integrated system without performance degradation.
. In-Depth Feature Verification: In addition to the integration testing, key new features underwent further, in-depth verification. This included dedicated Software Verification Reports (SVRs) for the Camera Solution (Vision Assist) to validate its specific performance and reliability.
# D. Non-clinical and Clinical Performance Evaluation
Performance of the new feature, Dual Energy Subtraction, was validated through a multi-faceted approach to demonstrate its diagnostic equivalence:
Non-Clinical Phantom Evaluation: A comparative phantom imaging study was conducted against the Dual Energy Subtraction function of the reference device
(K132261). The results, assessed by three radiologists, showed no significant difference in image quality.
Supplemental Clinical Evaluation: While not required for this submission, a formal clinical image evaluation was conducted to further substantiate the non-clinical findings. This evaluation, using patient images acquired from the device, confirmed the conclusions of the phantom study, demonstrating that the resulting images are equivalent image quality.
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SAMSUNG ELECTRONICS Co., Ltd.
SAMSUNG
510(k) Premarket Notification - Traditional
E. Summary of the Standards and Guidance Compliance
1. ANSI AAMI ES60601-1:2005/(R)2012 & A1:2012 C1:2009/(R)2012 & A2:2010/(R)2012 (Cons. Text) [Incl. AMD2:2021] Medical Electrical Equipment – Part 1: General requirements for basic safety and essential performance
2. IEC 60601-1-2 Edition 4.1 Medical Electrical Equipment – Part 1-2: General Requirements for Basic Safety and Essential Performance – Collateral Standard: Electromagnetic compatibility – Requirements and Tests
3. IEC 60601-1-3 Edition 2.2 Medical Electrical Equipment – Part 1-3: General Requirements for Basic Safety and Essential Performance – Collateral Standard: Radiation protection in Diagnostic X-ray Equipment
4. IEC 60601-2-28 Edition 3 Medical Electrical Equipment – Part 2-28: Particular Requirements for the Basic Safety and Essential Performance of X-ray Tube Assemblies for Medical Diagnosis
5. IEC 60601-2-54 Edition 2.0 Medical Electrical Equipment – Part 2-54: particular Requirements for the Basic Safety and Essential Performance of X-ray Equipment for Radiography and Radioscopy
6. IEC 62220-1-1 Edition 1.0 Medical electrical Equipment - Characteristics of digital X-ray imaging devices Part 1-1: Determination of the detective quantum efficiency Detectors used in radiographic imaging
7. Cybersecurity in Medical Device: Quality System Considerations and Content of Premarket Submissions issued on September 27, 2023
8. Content of Premarket Submissions for Device software Functions issued on June 14, 2023
9. Guidance for the Submission for 510(k) for Solid State X-ray Imaging Devices Guidance for Industry and Food and Drug Administration Staff issued on September 1, 2016
10. Pediatric Information for X-ray Imaging Device Premarket Notifications Guidance for Industry and Food and Drug Administration Staff issued on November 28, 2017
F. Conclusions
A comprehensive suite of performance tests was conducted to demonstrate that the modified GC85A is as safe and effective as the predicate device and that its new technological characteristics do not raise new questions of safety or effectiveness. The collective results of these tests support the determination of substantial equivalence.
5
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.