0909FCE and 0909FCE-HS are indicated for digital imaging solution designed including head, neck, cervical spine, arm, leg and peripheral (foot, hand, wrist, fingers, etc.). It is intended to replace film based radiographic diagnostic systems and provide a case diagnosis and treatment planning for physicians and other health care professionals. Not to be used for mammography.
Device Story
Digital solid-state X-ray detector using scintillator coupled to IGZO TFT sensor; captures X-ray signals and converts to digital images. Used in clinical settings by healthcare professionals to replace film-based radiography. Device connects via wired LAN to user PC; integrates with radiographic imaging systems to capture, process, and display images. Xmaru C software provides image acquisition, processing (brightness, contrast, sharpness, windowing, binning, ROI/ABC controls), and DICOM-compatible storage. Includes generator control functionality. Output viewed by physicians for diagnosis and treatment planning; aids clinical decision-making by providing high-quality diagnostic images.
Clinical Evidence
Bench testing only. Performance evaluated using MTF, DQE, and NPS metrics per IEC 62220-1. Results show 0909FCE/0909FCE-HS demonstrate equivalent or better performance compared to predicate 0909FCC/0909FCC-HS at all spatial frequencies. Software validation confirmed Xmaru C functionality, including generator integration and OS compatibility, operates as intended.
Technological Characteristics
Digital flat-panel detector; CsI:Tl scintillator; IGZO TFT + PIN photodiode sensor; 9x9 inch imaging area. Connectivity: Wired LAN (Ethernet). Power: AHM85PS24 adapter. Software: Xmaru C (C#/.NET 4.8/WPF). Standards: IEC 60601-1 (safety), IEC 60601-1-2 (EMC), IEC 62220-1 (DQE).
Indications for Use
Indicated for digital radiographic imaging of head, neck, cervical spine, arm, leg, and extremities (foot, hand, wrist, fingers) in patients requiring diagnostic imaging. Not for mammography.
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.
{0}
**FDA** U.S. FOOD & DRUG
ADMINISTRATION
July 31, 2026
Rayence Co., Ltd.
% Dave Kim
Medical Device Regulatory Affairs
Mtech Group, LLC
7505 Fannin St.
Suite 610
HOUSTON, TX 77054
Re: K253800
Trade/Device Name: 0909FCE, 0909FCE-HS
Regulation Number: 21 CFR 892.1680
Regulation Name: Stationary X-Ray System
Regulatory Class: Class II
Product Code: MQB, JAA
Dated: June 25, 2026
Received: June 30, 2026
Dear Dave Kim:
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.
{1}
K253800 - Dave Kim
Page 2
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-
{2}
K253800 - Dave Kim
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,

Digitally signed
by GABRIELA M.
RODAL -S
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
{3}
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)
K253800
Device Name
0909FCE, 0909FCE-HS
Indications for Use (Describe)
0909FCE and 0909FCE-HS are indicated for digital imaging solution designed including head, neck, cervical spine, arm, leg and peripheral (foot, hand, wrist, fingers, etc.). It is intended to replace film based radiographic diagnostic systems and provide a case diagnosis and treatment planning for physicians and other health care professionals. Not to be used for mammography.
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."*
FORM FDA 3881 (8/23)
Page 1 of 1
PSC Publishing Services (301) 443-6740 EF
{4}
510(k) Submission –0909FCE, 0909FCE-HS
rayence
# 1. 510(k) Summary : K253800
This summary of 510(k) safety and effectiveness information is being submitted in accordance with requirements of 21 CFR Part 807.92.
Date 510k summary prepared: June 25, 2026
Submitter's Name, address, telephone number, a contact person:
Submitter's Name : Rayence Co., Ltd.
Submitter's Address: 14, Samsung 1-ro 1-gil, Hwaseong-si, Gyeonggi-do, Korea
Submitter's Telephone: +82-31-8015-6305
Contact person: Mr. Sung Woo Jung / QMR/ +82-31-8015-6305
Official Correspondent: Mr. Dave Kim, MBA (davekim@mtechgroupllc.com)
Mtech Group LLC
Address: 7505 Fannin St. 610, Houston, TX 77054
Telephone: +1-713-467-2607
Name of the device, including the trade or proprietary name if applicable, the common or usual name and the classification name, if known:
# Trade/proprietary name
Trade/Device Name : 0909FCE, 0909FCE-HS
Common Name : Digital Flat Panel X-ray Detector
Regulation Number : 21 CFR 892.1680
Regulation Name : Stationary X-ray System
Regulatory Class : Class II
Product Code : MQB, JAA
# Primary Predicate Device :
Trade/Device Name : 0909FCC, 0909FCC-HS
Common Name : Digital Flat Panel X-ray Detector
510(k) Number : K240371
Regulation Number : 21 CFR 892.1680
Regulation Name : Stationary X-ray System
1
{5}
510(k)Submission –0909FCE, 0909FCE-HS
rayence
Regulatory Class : Class II
Product Code : MQB, JAA
2
{6}
510(k)Submission -0909FCE, 0909FCE-HS
rayence
## 2. Device Description
0909FCE and 0909FCE-HS are digital solid state X-ray detectors based on flat-panel technology. This radiographic image detector and processing unit consists of a scintillator coupled to Indium Gallium Zinc Oxide (IGZO) on TFT sensor. This device is connected to the user PC via wired LAN (ethernet cable) and it needs to be integrated with a radiographic imaging system. It does not operate as an X-ray generator controller but can be utilized to capture and digitalize X-ray images for radiographic diagnosis. The RAW files can be further processed as DICOM compatible image files by separate console SW(Xmaru C) for a radiographic diagnosis and analysis. 0909FCE is a basic model. 0909FCE-HS is identical with a basic model except for marking of sheet not related to safety.
## 3. Indication for use
0909FCE and 0909FCE-HS are indicated for digital imaging solution designed including head, neck, cervical spine, arm, leg and peripheral (foot, hand, wrist, fingers, etc.). It is intended to replace film based radiographic diagnostic systems and provide a case diagnosis and treatment planning for physicians and other health care professionals. Not to be used for mammography.
## 4. Summary of Design Control Risk management
0909FCE and 0909FCE-HS digital X-ray detectors are modifications of the 0909FCC and 0909FCC-HS (K240371). 0909FCE and 0909FCE-HS were developed for the purpose of retrofitting the stationary X-ray system with a film detector.
The risks and the hazardous impact of the device modification were analyzed with FMEA method. The specific risk control and protective measures to mitigate the risks from the modification were reviewed and implemented in the new product design phase. The overall assessment concluded that all risks and hazardous conditions identified arising from the design change were successfully mitigated and accepted.
3
{7}
510(k)Submission -0909FCE, 0909FCE-HS
rayence
# 5. Summary of the technological characteristics of the device compared to the predicate device:
0909FCE and 0909FCE-HS detectors described in this 510(k) have the same indications for use and similar technical characteristics as its predicate devices, 0909FCC and 0909FCC-HS(K240371).
# 5.1 Scintillator layer
*scintillator layer. (* scintillator : a phosphor that produces scintillations)
| | Proposed | Predicate |
| --- | --- | --- |
| CsI (Cesium Iodide) | 0909FCE, 0909FCE-HS | 0909FCC, 0909FCC-HS |
# 5.2. Power source : AHM85PS24
| | | Proposed 0909FCE, 0909FCE-HS | Predicate 0909FCC, 0909FCC-HS |
| --- | --- | --- | --- |
| Power | Type | Power adapter | Power adapter |
| | Model name | AHM85PS24 | AHM85PS24 |
| | Dimension | 150 X 64 X 37 (cable length: 900 mm) | 150 X 64 X 37 (cable length: 900 mm) |
| | Weight | 0.4kg | 0.4kg |
| | Rating | Input: 100-240 Vac, 1.0 A, 50/60 Hz Output: Typ. 24 VDC, 3.54 A | Input: 100-240 Vac, 1.0 A, 50/60 Hz Output: 24VDC (Max 3.54A) |
# 5.3 Generator specifications
# (1) X-ray Generator specifications
| Equipment | Model | Manufacture | Specification | | |
| --- | --- | --- | --- | --- | --- |
| | | | | Large-focus | Small-focus |
| X-ray generator | HTC-5500A | Poskom Co.,Ltd. | kVp | 40-120 | 40-120 |
| | | | mA | 32-100 | 0.2-8 (Normal) 0.2-10 (Pulse) 20 (Boost) |
| | | | KW (Power) | 5.5 | 0.96 |
| X-ray tube | XD56-517 | Hangzhou Wandong Electron Co.,Ltd | - | | |
4
{8}
510(k)Submission -0909FCE, 0909FCE-HS
rayence
5.4 Comparison with Predicate Device
| Characteristic | Proposed Device | | Predicate Device | | Similarity |
| --- | --- | --- | --- | --- | --- |
| Manufacturer | Rayence Co.,Ltd. | | Rayence Co.,Ltd. | | |
| Product Name | 0909FCE | 0909FCE-HS | 0909FCC | 0909FCC-HS | |
| Feature |  |  |  |  | |
| 510(k) number | K253800 | | K240371 | | |
| Indications for Use | 0909FCE and 0909FCE-HS are indicated for digital imaging solution designed including head, neck, cervical spine, arm, leg and peripheral (foot, hand, wrist, fingers, etc.). It is intended to replace film based radiographic diagnostic systems and provide a case diagnosis and treatment planning for physicians and other health care professionals. Not to be used for mammography. | | 0909FCC and 0909FCC-HS are indicated for digital imaging solution designed including head, neck, cervical spine, arm, leg and peripheral (foot, hand, wrist, fingers, etc.). It is intended to replace film based radiographic diagnostic systems and provide a case diagnosis and treatment planning for physicians and other health care professionals. Not to be used for mammography. | | Same |
| Detector Type | IGZO TFT + PIN type photodiode | | IGZO TFT + PIN type photodiode | | Same |
| Scintillator | CsI:Tl | | CsI:Tl | | Same |
| Imaging Area | 9 x 9 inches | | 9 x 9 inches | | Same |
| Effective Pixel matrix | 1504 X 1488 (Full resolution)752 X 744 (2x2 binning) | | 1464 X 1464 (1x1 Full resolution)732 X 732 (2x2 binning) | | Similar |
| Pixel pitch | 140 (Full resolution)280 (2x2 binning) | | 140 μm (Full resolution)280 μm (2x2 binning) | | Same |
| A/D conversion | 14/16 bits | | 14/16 bits | | Same |
| Frame rate | 5GigE | 30 @ (1x1)60 @ (2x2) | 5GigE | 29 @ (1x1)58 @ (2x2) | Similar |
| MTF (1.0 lp/mm) | 0909FCE : 0.6370909FCE-HS : 0.482 | | 0.497 | | Similar |
| DQE (0.5) | 0909FCE : 0.6020909FCE-HS : 0.765 | | 0.789 | | Similar |
5
{9}
510(k)Submission -0909FCE, 0909FCE-HS
rayence
| Data output | RAW *The RAW files are convertible into DICOM 3.0 by console S/W | RAW *The RAW files are convertible into DICOM 3.0 by console S/W | Same |
| --- | --- | --- | --- |
| Dimensions | 245 x 247 x 46 mm | 280.0 X 280.0 X 45.0mm | Similar |
| Weight | 3.7 kg | 2.8 kg | Similar |
| Software(Option) | Xmaru C | Xmaru RF Lite | - |
| Generator Control | Yes | No | Different |
| Operation Software | Microsoft Windows 11(64 bit) Professional or higher | Microsoft Windows 10(64 bit) Professional or higher | Different |
| Image acquisition capabilities and workflow | Detector setup, X-ray exposure, acquisition, processing, display. Generator setup function have been added. | Detector setup, X-ray exposure, acquisition, processing, display | Similar |
| Image Processing | Brightness, contrast, sharpness, windowing, binning, protocol controls. Updated to enhance image processing performance(ROI/ABC controls, auto windowing). | Brightness, contrast, sharpness, windowing, binning, protocol controls | Similar |
| User Interface and Display Functions | Viewer display, toolbar, protocol list, rotate, flip, invert, reset, zoom, language/settings The existing single-viewer user interface has been updated to Live Image and Saved Image user interface. And Worklist and StudyList have been added to enhance user convenience. | Viewer display, toolbar, protocol list, rotate, flip, invert, reset, zoom, language/settings | Similar |
| DICOM Functions | DICOM server/printer and AE title/port configuration Updated to improve multiple functions(PACS Worklist, multi-destination send, character set). | DICOM server/printer and AE title/port configuration | Similar |
| Network | 100MBit or 1GBit | 100MBit or 1GBit | Same |
| Data storage and management capabilities | RAW file storage, Raw folder, HDD capacity, setting persistence Update to enhance data management function(database managements, CSV export) | RAW file storage, Raw folder, HDD capacity, setting persistence | Similar |
| Software Design | C#/ .NET Framework 4.8 and WPF | C#/ .NET Framework 4.5.1 and WPF | Similar |
| Processor | Intel® Core™ i5 or higher | Intel® Core™ i5 or higher | Same |
| RAM | 16GB or more | 8GB or 16GB(optimized) | Similar |
| Hard Disk | 500GByte or higher | 200GB or higher | Similar |
| Image Formatting | Supports documented image export/formatting functions, including JPG, PNG, GIF, BMP, DICOM, and layout formats such as 1x1, 1x2, 2x1, 2x2, and 3x3. | Supports documented image export/formatting functions, including JPG, PNG, GIF, BMP, DICOM, and layout formats such as 1x1, 1x2, 2x1, 2x2, and 3x3. | Same |
| Processing speed | Supports image display within 3 seconds. | Supports image display within 3 seconds. | Same |
6
{10}
510(k)Submission -0909FCE, 0909FCE-HS
rayence
| and performance metrics | | | |
| --- | --- | --- | --- |
| Cybersecurity | Includes basic user authentication and access control Updated to enhance the multiple functions(auto logoff, password rules and input validation). | Includes basic user authentication and access control | Similar |
7
{11}
510(k)Submission -0909FCE, 0909FCE-HS
rayence
# 6. Summary of Performance Testing
0909FCE and 0909FCE-HS Digital Flat Panel X-Ray Detectors have the same indications for use, the same scintillator material (CsI:Tl ) coupled to Indium Gallium Zinc Oxide (IGZO) on TFT sensor, the same generator specifications and the same risk analysis characteristics compared to 0909FCC and 0909FCC-HS, the predicate devices(K240371). The pixel matrix and pixel pitch sizes are different due to different imaging areas but the differences do not raise new concerns for the safety and effectiveness of the subject device.
The clinical and non-clinical test report for the subject device were prepared and submitted to FDA to demonstrate the substantial equivalency of the subject device performance compared to the predicate device.
Upon review of the plain radiographs taken with 0909FCE and 0909FCC, both demonstrated good image quality.
In conclusion, both 0909FCE and 0909FCC have demonstrated sufficient image quality which will provide aid for diagnostic purposes
The non-clinical test report contains the MTF, DQE and NPS performance test comparison between the subject device, and the predicate device, by using the identical test equipment and same analysis method described by IEC 62220-1.
The MTF and DQE testing represent the ability to visualize object details of a certain size and contrast. 0909FCE demonstrated equivalent or better performance in terms of MTF and DQE compared to 0909FCC and 0909FCC-HS, the predicate device, at all spatial frequencies.
Based on the non-clinical consideration evaluation, the sponsor can claim the substantial equivalency between the subject device and the predicate device in terms of diagnostic image quality.
The software, Xmaru C, is an updated version of Xmaru RF Lite with enhanced performance features based on the existing functions of Xmaru RF Lite. The identified differences between Xmaru C and Xmaru RF Lite are related to the operating system version and the integration with the generator.
The updated functions and enhanced features implemented in Xmaru C were evaluated through software validation activities, and the results demonstrated that the functions operate as intended.(Ref: Software Validation Report)
8
{12}
510(k) Submission –0909FCE, 0909FCE-HS
rayence
The software, Xmaru C, is an updated version of Xmaru RF Lite with enhanced performance features based on the existing functions of Xmaru RF Lite. The identified differences between Xmaru C and Xmaru RF Lite are related to the operating system version and the integration with the generator.
The operating system difference is related to the Windows version. Xmaru C supports Windows 11, which is a currently supported operating system by Microsoft. Compared to Xmaru RF Lite, which supports Windows 10, Xmaru C provides a supported and stable operating environment based on the current Microsoft-supported platform.
The difference related to generator integration was evaluated through risk management activities and software verification and validation activities. Appropriate risk control measures were implemented to address potential risks associated with the added generator interface functionality.
Based on the risk evaluation and verification activities, the identified differences do not introduce new unacceptable risks and do not raise new questions of safety or effectiveness.
The manufacturing facility is in conformance with the design control procedure requirements specified in 21 CFR 820.30 and the relevant 21CFR820 standards as the records are available for review. Furthermore, the device will conform with all labeling requirements as per 21 CFR Subchapter J.
9
{13}
510(k) Submission –0909FCE, 0909FCE-HS
rayence
## 7. Summary for any testing and reference guidance:
- ▶ Electrical, mechanical, environmental safety and performance testing according to standard IEC 60601-1: 2020 (Medical electrical equipment Part 1:General requirements for basic safety and essential performance)
- ▶ EMC testing were conducted in accordance with standard IEC 60601-1-2: 2020 .
- ▶ IEC 62220-1 Ed 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
- ▶ Non-clinical consideration according to FDA Guidance “Guidance for the Submissions of 510(k)’s for Solid State X-ray Imaging Devices”
- ▶ “Guidance for the Content of Premarket Submissions for Device Software Functions”.
- ▶ Pediatric Information for X-ray Imaging Device Premarket Notifications
- ▶ Cybersecurity in Medical Devices: Quality Management System Considerations and Content of Premarket Submissions
## 8. Conclusions:
In accordance with the performance outcomes, 0909FCE and 0909FCE-HS demonstrated equivalent or better performance compared to 0909FCC and 0909FCC-HS(K240371). Therefore, Rayence claims the substantial equivalency between the subject device and the predicate device in terms of diagnostic image quality about safety and effectiveness.
10
Predicate graph will load when search results are available.
Embedding visualization will load when search results are available.
PDF viewer will load when search results are available.
Loading panels...
Select an item from Submissions
Click any panel, subpart, regulation, product code, or device to see details here.
Section Matches
Results will appear here.
Product Code Matches
Results will appear here.
Special Control Matches
Results will appear here.
Loading collections...
Loading
My Alerts
You will receive email notifications based on the filters and frequency you set for each alert.
Sort by:
Create Alert
Search Filters
Agent Token
Create a read-only bearer token for Claude, ChatGPT, or other agents that can call HTTP APIs.
Copy this now. It will not be shown again.
Connected apps
Apps you authorized through browser sign-in. Disconnecting revokes their access immediately.
Learn the FDA Browser
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.