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 receives live video input from standard white-light endoscopy systems (Fujifilm/Olympus/Pentax processors). The device processes video frames to identify regions consistent with colorectal lesions (polyps/adenomas). Upon detection, it superimposes green square markers on the endoscopic display and emits an audible alert. Used in clinical settings by endoscopists; it functions as a real-time reading aid. It does not replace clinical judgment. Benefits include improved lesion detection sensitivity during screening and surveillance. The system connects between the video processor and the display monitor.
Clinical Evidence
Bench testing only. Performance validated via software verification/validation (133 requirements), EMC/Electrical safety (IEC 60601-1/1-2), and standalone performance testing. Non-inferiority with new video processor confirmed via per-frame assessment on 40 pre-recorded procedures. Subject device showed improved lesion-based sensitivity (86.5% vs 82.0%) and improved ROC AUC (0.796 vs 0.723) compared to the predicate.
Technological Characteristics
Hardware interface for video endoscopy; connects between processor and monitor. Software-based AI inference engine. Complies with IEC 60601-1 (Electrical Safety) and IEC 60601-1-2 (EMC). Compatible with specific Fujifilm, Olympus, and Pentax video processors. Includes a non-functional LAN port.
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.
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July 23, 2021
Cosmo Artificial Intelligence - AI Ltd % Roger Gray VP Quality and Regulatory Donawa Lifescience Consulting Srl Piazza Albania 10 Rome, 00153 Italy
Re: K211951
Trade/Device Name: GI Genius Regulation Number: 21 CFR 876.1520 Regulation Name: Gastrointestinal Lesion Software Detection System Regulatory Class: Class II Product Code: QNP Dated: June 18, 2021 Received: June 23, 2021
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 (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database located at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
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Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting of medical device-related adverse events) (21 CFR 803) for devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
For comprehensive regulatory information about mediation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medicaldevices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-device-advice-comprehensive-regulatoryassistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely.
for
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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# Indications for Use
510(k) Number (if known) K211951
Device Name GI Genius
#### 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)
| <span style="font-size:10pt;"> <span style="font-family:Wingdings;">☑</span> Prescription Use (Part 21 CFR 801 Subpart D) </span> |
|-------------------------------------------------------------------------------------------------------------------------------------|
| <span style="font-size:10pt;"> <span style="font-family:Wingdings;">☐</span> Over-The-Counter Use (21 CFR 801 Subpart C) </span> |
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# 510(k) Summary
| 510(k) Reference: | K211951 |
|-----------------------------------|--------------------------------------------------------------------------------------------------------------------|
| Device Name: | GI Genius |
| Type of 510(k) submission: | Special |
| Date of submission: | 18 June 2021 |
| 510(k) Owner and Submitter: | Cosmo Artificial Intelligence - Al Ltd<br>Riverside II, Sir John Rogerson's Quay<br>Dublin D02 KV60<br>Ireland |
| FDA Establishment Reg. Number: | 3018899987 |
| Specification Developer: | Linkverse Srl<br>via Ostiense 131/L<br>00154 Rome<br>Italy |
| Owner/Operator Reg. Number: | 3018901422 |
| 510(k) Application Correspondent: | Roger Gray<br>VP Quality and Regulatory<br>Donawa Lifescience Consulting<br>Piazza Albania 10<br>00153 Rome, Italy |
| Phone:<br>Fax:<br>Email: | +39 06 578 2665<br>+39 06 574 3786<br>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 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.
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Image /page/4/Picture/1 description: The image shows the logo for Cosmo Pharmaceuticals. The logo features a stylized human figure in blue with an orange circle above its head. To the right of the figure is the word "COSMO" in blue, with the word "Pharmaceuticals" in a smaller font size underneath.
The indications for use statement is identical to that for the original unmodified (predicate) device, as cleared under DEN200055.
#### 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 compatible with the following Video Processors: Fujifilm VP-7000, Olympus CV-180 EXERA II, Olympus CV-190 EXERA III, Fujifilm VP-4450HD, and Pentax EPK-i7000 Video Processor.
GI Genius 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.
# Design changes:
This Special 510(k) describes the design changes incorporated into GI Genius following its FDA clearance under DEN200055. The device software version number as cleared under DEN 2000555 was 1.0.2; the device software version that is the subject of this Special 510(k) is 2.0.0.
The design changes include a single software design change that falls within the FDA guideline for submittal of a new 510(k). A labeling change is also planned, to add non-clinical performance data of the new software version and to include one additional video processor type in the list of compatible units in the User Manual. Other minor design changes have been the subject of internal documentation and are being advised to FDA for information only.
The software design change includes an upgrade to the inference engine to optimize algorithm speed and improve energy efficiency, together with a retraining of the neural network with additional procedure videos, and improved data augmentation, to improve polyp detection capability robustness.
#### Non-clinical testing:
The following non-clinical verification/ validation activities have been completed:
- Verification of the revised software at the system level. Each element of the SRS was tested and found to meet specified requirements, testing 14 Units and 9 Items, encompassing 133 software requirements.
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- · Validation of the revised software at the user level, testing 14 Units and 9 Items, encompassing 133 software requirements.
- · Protective measures identified by risk management have been verified during Installation Qualification and Operational Qualification.
- Electromagnetic Compatibility (EMC) and Electrical Safety compliance tests have been completed according to IEC 60601-1 and IEC 60601-1-2 requirements.
- Standalone Performance Testing has been carried out to assess the performance of the subject device in accordance with the same test protocol as that used for the predicate device, the results of which demonstrate substantial equivalence to the predicate device.
- Non-inferiority of performance of GI Genius with a new video processor has been established by means of a per-frame assessment on 40 pre-recorded procedures.
The results of the above testing aid in demonstration of substantial equivalence of the subject device with the predicate device, as the same test protocols have been used.
# Substantial equivalence
The predicate device for the subject device is the pre-modification version of the same device, Gl Genius, FDA-cleared under DEN200055 on 9 April 2021:
| Predicate Device: | GI Genius |
|----------------------|---------------------------------------------------|
| Sponsor: | Cosmo Artificial Intelligence - Al Ltd |
| De Novo Number: | DEN200055 |
| Clearance Date: | 9 April 2021 |
| FDA Product Code: | QNP |
| Classification Name: | Gastrointestinal lesion software detection syster |
| Regulation No: | 21 CFR 876.1520 |
| Class: | II |
#### Predicate device comparison table:
Table 1 provides evidence of substantial equivalence of the subject device with the predicate device.
| Table 1: Predicate device comparison table | | | |
|------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------|
| Characteristic | Subject device | Predicate device | Comparison |
| Device name | GI Genius v.2.0.0 | GI Genus v.1.0.2 | N/A |
| Manufacturer | Linkverse Srl, Italy | Linkverse Srl, Italy | Same |
| FDA clearance | K211951 | DEN200055 | N/A |
| FDA Reg name | Gastrointestinal lesion software<br>detection system | Gastrointestinal lesion software<br>detection system | Same |
| FDA Reg # | 21 CFR 876.1520 | 21 CFR 876.1520 | Same |
| FDA Product Code | QNP | QNP | Same |
| Table 1: Predicate device comparison table | | | |
| Characteristic | Subject device | Predicate device | Comparison |
| Indications for Use | The GI Genius System is a<br>computer-assisted reading tool<br>designed to aid endoscopists in<br>detecting colonic mucosal<br>lesions (such as polyps and<br>adenomas) in real time during<br>standard white-light endoscopy<br>examinations of patients<br>undergoing screening and<br>surveillance endoscopic mucosal<br>evaluations. The GI Genius<br>computer-assisted detection<br>device is limited for use with<br>standard white-light endoscopy<br>imaging only. This device is not<br>intended to replace clinical<br>decision making. | The GI Genius System is a<br>computer-assisted reading tool<br>designed to aid endoscopists in<br>detecting colonic mucosal<br>lesions (such as polyps and<br>adenomas) in real time during<br>standard white-light endoscopy<br>examinations of patients<br>undergoing screening and<br>surveillance endoscopic mucosal<br>evaluations. The Gl Genius<br>computer-assisted detection<br>device is limited for use with<br>standard white-light endoscopy<br>imaging only. This device is not<br>intended to replace clinical<br>decision making. | Same |
| Video delay, signal in<br>to signal out | 1.52 μs | 1.52 μs | Same |
| Lesion-based<br>sensitivity | 86.5 % | 82.0 % | Improved<br>performance |
| Frame level<br>performance<br>(150 videos / 338<br>polyps) | True positive: 269,223<br>True negative: 5,239,128<br>False positive: 104,669<br>False negative: 192,567 | True positive: 228,929<br>True negative: 5,235,682<br>False positive: 108,115<br>False negative: 232,861 | Improved<br>performance |
| True positive rate per<br>frame | Mean: 58.30 %<br>% of polyps: 100 % | Mean: 49.57 %<br>% of polyps: 99.7 % | Improved<br>performance |
| False positive rate per<br>frame | Mean: 1.96 % | Mean: 2.02 % | Improved<br>performance |
| Frame-Based TPr/FPr<br>ROC curve, AOC | 0.796 | 0.723 | Improved<br>performance |
| False positive clusters<br>per patient | < 500 ms: 40 less than baseline<br>> 500 ms: 1 more than baseline | < 500 ms: Baseline<br>> 500 ms: Baseline | Improved<br>Similar |
| Additional video<br>processor | Yes: Fujifilm VP-7000 | N/A | Improved<br>performance |
| Electrical safety | IEC 60601-1 | IEC 60601-1 | Same |
| Electromagnetic<br>compatibility | IEC 60601-1-2 | IEC 60601-1-2 | Same |
| LAN port | Yes, non-functional to user | No | Different |
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Image /page/6/Picture/1 description: The image shows the logo for Cosmo Pharmaceuticals. The logo consists of a stylized human figure in light blue with an orange circle for the head, followed by the word "COSMO" in a larger, teal font. Below "COSMO" is the word "Pharmaceuticals" in a smaller, lighter font.
The subject device and the predicate device have many identical or similar characteristics. None of the identified differences introduce new aspects of safety or effectiveness.
# 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 different questions of safety and effectiveness. The performance data demonstrate that the subject device is substantially equivalent to the predicate device, which is already in interstate commerce within the USA. Therefore, the subject device is as safe, as effective, and performs better than the predicate device.
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Learn the FDA Browser
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.