The GI Genius™ system is a computer-assisted reading tool designed to aid endoscopists in detecting colonic mucosal lesions (such as polyps and adenomas) in real time during standard white-light endoscopy examinations of patients undergoing screening and surveillance endoscopic mucosal evaluations. The GI Genius™ computer-assisted detection device is limited for use with standard white-light endoscopy imaging only. This device is not intended to replace clinical decision making.
Device Story
GI Genius is an AI-based computer-assisted detection (CADe) device for colonoscopy. It processes live video input from standard white-light endoscopes to identify colonic mucosal lesions, including flat morphology. The system connects between the video processor and the endoscopic display monitor. It uses deep learning inference models (NVIDIA IGX Orin™ kit in GGM300-US) to analyze video frames in real-time. When a lesion is detected, the system superimposes a green square marker on the display and emits a short sound; markers are absent when no lesion is detected. Used in clinical settings by endoscopists, the device acts as a real-time reading aid. It does not replace clinical decision-making. The output provides visual and auditory cues to alert the physician to potential abnormalities, potentially increasing lesion detection rates during screening and surveillance procedures.
Clinical Evidence
Bench testing only. Performance metrics (sensitivity, specificity, AUC) are identical to the predicate device (K233964). Frame-level performance evaluated on 150 videos (338 polyps) showed 88.07% lesion-based sensitivity, 60.14% mean true positive rate per frame, and 1.79% mean false positive rate per frame. Non-inferiority for two additional video processors was established via per-frame assessment on 40 pre-recorded procedures per processor.
Technological Characteristics
Hardware: NVIDIA IGX Orin™ kit (GGM300-US), internal power supply, custom video card. Connectivity: SDI/HD-SDI/3G-SDI/12G-SDI ports. Software: ColonPRO™ 4.0 (build 4.0.0 or 4.0.0-S). OS: Ubuntu 22.04 LTS. AI/ML: Deep learning inference models using CUDA 12.2, cuDNN 8.9.4, TensorRT 8.6.2. Standards: IEC 60601-1, IEC 60601-1-2.
Indications for Use
Indicated for patients undergoing screening and surveillance endoscopic mucosal evaluations to aid endoscopists in real-time detection of colonic mucosal lesions (polyps, adenomas) during standard white-light endoscopy.
Regulatory Classification
Identification
A gastrointestinal lesion software detection system is a computer-assisted detection device used in conjunction with endoscopy for the detection of abnormal lesions in the gastrointestinal tract. This device with advanced software algorithms brings attention to images to aid in the detection of lesions. The device may contain hardware to support interfacing with an endoscope.
Special Controls
In combination with the general controls of the FD&C Act, the gastrointestinal lesion software detection system is subject to the following special controls:
*Classification.* Class II (special controls). The special controls for this device are:(1) Clinical performance testing must demonstrate that the device performs as intended under anticipated conditions of use, including detection of gastrointestinal lesions and evaluation of all adverse events.
(2) Non-clinical performance testing must demonstrate that the device performs as intended under anticipated conditions of use. Testing must include:
(i) Standalone algorithm performance testing;
(ii) Pixel-level comparison of degradation of image quality due to the device;
(iii) Assessment of video delay due to marker annotation; and
(iv) Assessment of real-time endoscopic video delay due to the device.
(3) Usability assessment must demonstrate that the intended user(s) can safely and correctly use the device.
(4) Performance data must demonstrate electromagnetic compatibility and electrical safety, mechanical safety, and thermal safety testing for any hardware components of the device.
(5) Software verification, validation, and hazard analysis must be provided. Software description must include a detailed, technical description including the impact of any software and hardware on the device's functions, the associated capabilities and limitations of each part, the associated inputs and outputs, mapping of the software architecture, and a description of the video signal pipeline.
(6) Labeling must include:
(i) Instructions for use, including a detailed description of the device and compatibility information;
(ii) Warnings to avoid overreliance on the device, that the device is not intended to be used for diagnosis or characterization of lesions, and that the device does not replace clinical decision making;
(iii) A summary of the clinical performance testing conducted with the device, including detailed definitions of the study endpoints and statistical confidence intervals; and
(iv) A summary of the standalone performance testing and associated statistical analysis.
{0}
FDA U.S. FOOD & DRUG ADMINISTRATION
July 25, 2024
Cosmo Artificial Intelligence - AI Ltd
% Roger Gray
VP Quality and Regulatory
Donawa Lifescience Consulting Srl
Piaza Albania 10
Rome, 00153
Italy
Re: K241887
Trade/Device Name: GI Genius™ Module 100 (GGM100.US); GI Genius™ Module 200 (GGM200.US); ColonPRO™ 4.0 (CPRO40.US); GI Genius™ Module 300 (GGM300-US); ColonPRO™ 4.0 (CPRO40S-US)
Regulation Number: 21 CFR 876.1520
Regulation Name: Gastrointestinal Lesion Software Detection System
Regulatory Class: Class II
Product Code: QNP
Dated: June 28, 2024
Received: June 28, 2024
Dear Roger Gray:
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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K241887 - Gray Roger
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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 System (QS) regulation (21 CFR Part 820), which includes, but is not limited to, 21 CFR 820.30, Design controls; 21 CFR 820.90, Nonconforming product; and 21 CFR 820.100, Corrective and preventive action. Please note that regardless of whether a change requires premarket review, the QS regulation requires device manufacturers to review and approve changes to device design and production (21 CFR 820.30 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 systems (QS) regulation (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.
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.
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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-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,
Sivakami Venkatachalam -S
for
Shanil P. Haugen, Ph.D.
Assistant Director
DHT3A: Division of Renal, Gastrointestinal, Obesity and Transplant Devices
OHT3: Office of GastroRenal, ObGyn, General Hospital and Urology Devices
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.
Submission Number (if known)
K241887
Device Name
GI Genius™ Module 100 (GGM100.US);
GI Genius™ Module 200 (GGM200.US);
ColonPRO™ 4.0 (CPRO40.US);
GI Genius™ Module 300 (GGM300-US);
ColonPRO™ 4.0 (CPRO40S-US)
Indications for Use (Describe)
The GI Genius™ system is a computer-assisted reading tool designed to aid endoscopists in detecting colonic mucosal lesions (such as polyps and adenomas) in real time during standard white-light endoscopy examinations of patients undergoing screening and surveillance endoscopic mucosal evaluations. The GI Genius™ computer-assisted detection device is limited for use with standard white-light endoscopy imaging only. This device is not intended to replace clinical decision making.
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)
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COSMO
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# ATTACHMENT 04
# 510(k) Summary
510(k) Reference: K241887
Device Name: GI Genius™ Module 100 (GGM100.US); GI Genius™ Module 200 (GGM200.US); ColonPRO™ 4.0 (CPRO40.US); GI Genius™ Module 300 (GGM300-US); ColonPRO™ 4.0 (CPRO40S-US).
Type of 510(k) submission: Special
Date of submission: 27 June 2024
510(k) Owner and Submitter: Cosmo Artificial Intelligence - AI Ltd
Riverside II, Sir John Rogerson's Quay
Dublin D02 KV60
Ireland
FDA Establishment Reg. Number: 3018899987
Specification Developer: Linkverse Srl
via Ostiense 131/L
00154 Rome, Italy
Owner/Operator Reg. Number: 3018901422
510(k) Application Correspondent: Roger Gray
VP Quality and Regulatory
Donawa Lifescience Consulting
Piazza Albania 10
00153 Rome, Italy
Phone: +39 06 578 2665
Email: rgray@donawa.com
FDA Product Code: QNP
FDA Regulation Number: 21 CFR 876.1520
FDA Classification Name: Gastrointestinal lesion software detection system
Classification Panel: Gastroenterology and Urology
FDA Classification: Class II
# Indications for Use:
The GI Genius™ system is a computer-assisted reading tool designed to aid endoscopists in detecting colonic mucosal lesions (such as polyps and adenomas) in real time during standard white-light endoscopy
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examinations of patients undergoing screening and surveillance endoscopic mucosal evaluations. The GI Genius™ computer-assisted detection device is limited for use with standard white-light endoscopy imaging only. This device is not intended to replace clinical decision making.
The indications for use statement is the same as that of the original unmodified (predicate) device, as cleared under K233964.
## Device Description:
GI Genius is an artificial intelligence-based device that has been trained to process colonoscopy images containing regions consistent with colorectal lesions like polyps, including those with flat (non-polypoid) morphology.
GI Genius is composed of software (namely, ColonPRO™ 4.0) and hardware (namely, GI Genius™ Module 100, 200, and 300).
GI Genius™ Module 100, 200, and 300 are compatible with Video Processors featuring SDI (SMPTE 259M), HD-SDI (SMPTE 292M), 3G/SDI (SMPTE 424 M) output ports and endoscopic display monitors featuring SDI (SMPTE 259M), HD-SDI (SMPTE 292M), 3G/SDI (SMPTE 424 M) input ports. GI Genius™ Module 200 and 300 are also compatible with Video Processors featuring the 4K UHD standard (12G-SDI SMPTE ST 2082).
The GI Genius system is connected between the video processor and the endoscopic display monitor. When first switched on, the endoscopic field of view is clearly identified by four corner markers, and a blinking green square indicator appears on the connected endoscopic display monitor to state that the system is ready to function.
During live video streaming of the endoscopic video image, GI Genius generates a video output on the endoscopic display monitor that contains the original live video together with superimposed green square markers that will appear when a polyp or other lesion of interest is detected, accompanied by a short sound. These markers will not be visible when no lesion detection occurs.
The operating principle of the subject device is identical to that of the predicate device, this being a computer-assisted detection device used in conjunction with endoscopy for the detection of abnormal lesions in the gastrointestinal tract. This device with advanced software algorithms brings attention to images to aid in the detection of lesions. The device includes hardware to support interfacing with video endoscopy systems and the accessories given by the footswitch and the USB K-switch.
The baseline clinical validation for the subject device was conducted and reviewed in DEN200055 and is still applicable to the version of the device that is the subject of this submission.
## Design changes:
This Special 510(k) submission describes the design changes incorporated into GI Genius following FDA clearance under K233964. The device software version number as cleared under K233964 was 4.0.0; the device software version that is the subject of this Special 510(k) is still 4.0.0 for GI Genius™ Module 100 and GI Genius™ Module 200, whereas it is 4.0.0-S for GI Genius™ Module 300 and it differs only in the re-build of the same software to create a software container compatible with the changed hardware unit.
Three types of design change are detailed in this submission that fall within the FDA guideline for submittal of a new 510(k). The first two changes are consequence of the improvement to the device core elements of providing technical capability of accelerating software featuring generative AI inference models, designed for medical applications, for low-latency, and real-time applications given by the NVIDIA IGX Orin™ kit.
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The technical specifications are identical between the predicate and the subject device except for the following hardware change:
1. The NVIDIA IGX Orin™ kit replaces the current motherboard, GPU, CPU, and RAM;
2. The Deltacast video card is replaced by an internally designed card that provides an easily customizable setup (as two IN/OUT channels, an active by-pass, and future HDMI channels);
3. A cosmetic change of the front panel layout and a new keyboard is designed to provide new information by LED indicators (system booting, peripherals check) and the new design also allows the elimination of internal alkali batteries.
4. The internal power supply type is changed to supply a range of potentials instead of needing another board to control it, thus obtaining a direct combination with ATX internal boards and features an internal fuse.
5. The new internal layout allows the reduction of the hardware case height and consequently the replacement of internal fans with smaller ones that are also less noisy and a new shape of the dust filters.
Furthermore, introduction of the NVIDIA IGX Orin™ kit requires the following changes to the software components:
1. Change of GI Genius Operating System 1.0.0 to GI Genius Operating System S ver.1.0.0. The software architecture of the operating system is the same, but the following items are updated:
- SOUP Ubuntu ver. 22.04 LTS,
- SOUP CUDA ver.12.2,
- SOUP cuDNN ver. 8.9.4,
- SOUP TensorRT ver. 8.6.2,
- SOUP WebKit ver. 2.44,
- Internal video card driver SDI Link ver.1.0.0.
2. Rebuilding of software ColonPRO™ 4.0 to create a container ready for the new OS (build identified as ver. 4.0.0-S). Changes to the software made only to allow using the container in the new hardware. No medical performances are changed as effect of rebuilding.
As consequence, the hardware and software design changes will result in a range extension for the hardware models setting up the system with software ColonPRO™ 4.0, with three versions being available, these being:
- GI Genius™ Module 100 (current model with HD capability only, as cleared under K233964)
- GI Genius™ Module 200 (current model with 4K UHD capability, as cleared under K233964)
- GI Genius™ Module 300 (new model with 4K UHD capability and NVIDIA IGX Orin™ kit core unit),
as well as two builds of the ColonPRO™ 4.0 container given by version 4.0.0 (as cleared under K233964) and by version 4.0.0-S (rebuild only for the new hardware model).
The last change is a labeling update to include two additional video processors in the list of compatible units in the User Manuals, namely PENTAX Medical Video Processor EPK-i5500c and EPK-i8020c, for all the three GI Genius™ systems.
## Non-clinical testing:
The following non-clinical verification/ validation activities have been completed:
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COSMO
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- Verification of the hardware at the system level. Each functional element of the hardware requirements was tested and found to meet specifications, encompassing 38 hardware requirements.
- Validation of the hardware functions at the user level has been carried out, incorporating tests sufficient for the validation of the hardware requirements specifications.
- Electrical Safety and Electromagnetic Compatibility (EMC) compliance tests have been successfully completed on the hardware unit with the NVIDIA IGX Orin™ kit according to IEC 60601-1 and IEC 60601-1-2 requirements, operating with software build 4.0.0-S.
- Verification of the software build at the system level. Each element of the SRS was tested and found to meet specified requirements, testing 36 Units and 24 Items, encompassing 176 software requirements.
- Validation of the new software build at the user level has been carried out, incorporating tests sufficient for the validation of the SRS.
- Risk mitigation measures identified during Risk Management have been successfully verified or validated, as applicable.
- Tests according to the Standalone Performance Testing Protocol v2.0, submitted as part of the K233964 predicate device submission, have been repeated for the applicable parts of the subject device.
- Non-inferiority of performance of GI Genius™ systems with two new video processors has been established by means of a per-frame assessment on 40 pre-recorded procedures from each video processor.
The results of the above testing aid demonstration of substantial equivalence of the subject devices with the predicate devices, as the same test protocols have been used where applicable.
## Substantial equivalence:
The predicate devices for the subject devices are the pre-modification versions of the same devices, GI Genius™ Module 100 and GI Genius™ Module 200, FDA-cleared under K233964 on 12 January 2024:
Predicate Devices: GI Genius™ Module 100 and GI Genius™ Module 200 with ColonPRO™ 4.0
Sponsor: Cosmo Artificial Intelligence - AI Ltd
De Novo Number: K233964
Clearance Date: 12 January 2024
FDA Product Code: QNP
Classification Name: Gastrointestinal lesion software detection system
Regulation No: 21 CFR 876.1520
Class: II
## Predicate device comparison table:
In terms of addition of two video processors to the list of compatible units to the subject devices given by GI Genius™ Module 100 and GI Genius™ Module 200 with software ColonPRO™ 4.0, the addition of said video processors in the User Manual is the only difference with respect to the predicate devices.
In terms of the hardware and software changes proposed with the new hardware extension given by GI Genius Module™ 300 with software ColonPRO™ 4.0 (build 4.0.0-S), Table 1 reports the comparison to the predicate device.
Table 1 provides evidence of substantial equivalence of the subject devices with the predicate devices.
| Table 1: Predicate device comparison table | | | |
| --- | --- | --- | --- |
| Characteristic | Subject device | Predicate device | Comparison |
| Device name | GI Genius™ Module 300 (GGM300-US);
ColonPRO™ 4.0 (build 4.0.0-S) (CPRO405-US);
GI Genius™ Module 100 (GGM100.US); | GI Genius™ Module 100 (GGM100.US);
GI Genius™ Module 200 (GGM200.US)
ColonPRO™ 4.0 (build 4.0.0) (CPRO40.US) | Different device name for GGM300-US |
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| Characteristic | Subject device | Predicate device | Comparison |
| --- | --- | --- | --- |
| | GI Genius™ Module 200 (GGM200.US);
ColonPRO™ 4.0 (build 4.0.0) (CPRO40.US). | | |
| Manufacturer | Linkverse S.r.l., Italy | Linkverse S.r.l., Italy | Same |
| FDA clearance | This submission | K233964 | N/A |
| FDA Reg name | Gastrointestinal lesion software detection system | Gastrointestinal lesion software detection system | Same |
| FDA Reg # | 21 CFR 876.1520 | 21 CFR 876.1520 | Same |
| FDA Product Code | QNP | QNP | Same |
| Indications for Use | The GI Genius™ system is a computer-assisted reading tool designed to aid endoscopists in detecting colonic mucosal lesions (such as polyps and adenomas) in real time during standard white-light endoscopy examinations of patients undergoing screening and surveillance endoscopic mucosal evaluations. The GI Genius™ computer-assisted detection device is limited for use with standard white-light endoscopy imaging only. This device is not intended to replace clinical decision making. | The GI Genius System is a computer-assisted reading tool designed to aid endoscopists in detecting colonic mucosal lesions (such as polyps and adenomas) in real time during standard white-light endoscopy examinations of patients undergoing screening and surveillance endoscopic mucosal evaluations. The GI Genius computer-assisted detection device is limited for use with standard white-light endoscopy imaging only. This device is not intended to replace clinical decision making. | Same |
| Video delay, signal in to signal out | GGM300-US: 29 μs (< 5.75 ms limit)
GGM200.US: 0.74 μs
GGM100.US: 1.52 μs | GGM200.US: 0.74 μs (< 5.75 ms limit)
GGM100.US: 1.52 μs | Equivalent |
| Lesion-based sensitivity | 88.07% | 88.07% | Same |
| Frame level performance (150 videos / 338 polyps) | True positive: 277,738
True negative: 5,248,406
False positive: 95,391
False negative: 184,052 | True positive: 277,738
True negative: 5,248,406
False positive: 95,391
False negative: 184,052 | Same |
| True positive rate per frame | Mean: 60.14 %
% of polyps: 100 % | Mean: 60.14 %
% of polyps: 100 % | Same |
| False positive rate per frame | Mean: 1.79% | Mean: 1.79% | Same |
| Frame-Based TPr/FPr ROC curve, AOC | 0.826 | 0.826 | Same |
| False positive clusters per patient | < 500 ms: 97
> 500 ms: 10 | < 500 ms: 97
> 500 ms: 10 | Same |
| Additional video processor | Yes:
PENTAX Medical EPK-i5500c
PENTAX Medical EPK-i8020c | N/A | Same |
| Accessories (optional) | GGM300-US: optional not available
GGM200.US: optional available
GGM100.US: optional available | Footswitch
USB K-switch | Optional not available for GGM300-US |
| Software other function | Procedure Highlights function | Procedure Highlights function | Same |
| Electrical safety | IEC/EN 60601-1 | IEC/EN 60601-1 | Same |
| Electromagnetic compatibility | IEC/EN 60601-1-2 | IEC/EN 60601-1-2 | Same |
| LAN port | Yes, non-functional to user | Yes, non-functional to user | Same |
## Conclusion
The subject and predicate devices have identical indications for use and fundamental technological characteristics. Any differences in performance between the subject and predicate devices do not raise
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different questions of safety and effectiveness. The performance data demonstrate that the subject devices are substantially equivalent to the predicate devices, which are already in interstate commerce within the USA. Therefore, the subject devices are as safe and effective as the predicate devices.
Special 510(k) for GI Genius
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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.