The Altris IMS is a standalone, browser-based software application intended for use by healthcare professionals to import, store, manage, display, and measure data from ophthalmic diagnostic instruments, including patient data, diagnostic data, clinical images and information, reports, and measurement of DICOM-compliant images. The device is also indicated for manual labeling and annotation of retinal OCT scans.
Device Story
Altris IMS is a cloud-based, standalone software application for eye care practitioners (ECPs). It functions as a browser-based interface to import, store, manage, display, and measure DICOM-compliant ophthalmic diagnostic data (e.g., OCT, fundus photos). Data is uploaded to an Amazon AWS cloud server for backend processing and storage. The device provides tools for manual area-of-interest segmentation, labeling, annotation, and linear distance measurement of ocular anatomy and lesions. It calculates layer thickness and volume based on user-defined annotations and displays measurement progression. The device does not perform automated diagnosis or provide treatment recommendations; it serves as a support tool for ECPs to review images for their own clinical decision-making. By centralizing and facilitating the review of ophthalmic imaging, it aims to streamline clinical workflows and assist in the documentation of ocular health.
Clinical Evidence
No clinical data. Bench testing included software verification, software validation, and a comparative software measurement study against the K170164 reference device to establish performance similarity.
Indicated for use by healthcare professionals to manage, display, and measure ophthalmic diagnostic data and images, including manual labeling and annotation of retinal OCT scans.
Regulatory Classification
Identification
A medical image management and processing system is a device that provides one or more capabilities relating to the review and digital processing of medical images for the purposes of interpretation by a trained practitioner of disease detection, diagnosis, or patient management. The software components may provide advanced or complex image processing functions for image manipulation, enhancement, or quantification that are intended for use in the interpretation and analysis of medical images. Advanced image manipulation functions may include image segmentation, multimodality image registration, or 3D visualization. Complex quantitative functions may include semi-automated measurements or time-series measurements.
Special Controls
*Classification.* Class II (special controls; voluntary standards—Digital Imaging and Communications in Medicine (DICOM) Std., Joint Photographic Experts Group (JPEG) Std., Society of Motion Picture and Television Engineers (SMPTE) Test Pattern).
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July 31, 2023
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Altris, Inc. % Prithul Bom Most Responsible Person Regulatory Technology Services, LLC 1000 Westgate Drive, Suite 510k Saint Paul, Minnesota 55114
Re: K232088
Trade/Device Name: Altris IMS Regulation Number: 21 CFR 892.2050 Regulation Name: Medical image management and processing system Regulatory Class: Class II Product Code: NFJ Dated: July 13, 2023 Received: July 13, 2023
Dear Prithul Bom:
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.
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
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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 (OS) 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,
Elvin Y. Ng -S
Elvin Ng Assistant Director DHT1A: Division of Ophthalmic Devices OHT1: Office of Ophthalmic, Anesthesia, Respiratory, ENT and Dental 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) K232088
Device Name Altris IMS
#### Indications for Use (Describe)
The Altris IMS is a standalone, browser-based software application intended for use by healthcare professionals to import, store, manage, display, and measure data from ophthalmic diagnostic instruments, including patient data, diagnostic data, clinical images and information, reports, and measurement of DICOM-compliant images. The device is also indicated for manual labeling and annotation of retinal OCT scans.
| Type of Use (Select one or both, as applicable) |
|-------------------------------------------------|
|-------------------------------------------------|
| <span></span> Prescription Use (Part 21 CFR 801 Subpart D) | <span></span> |
|------------------------------------------------------------|---------------|
| <span></span> Over-The-Counter Use (21 CFR 801 Subpart C) | |
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## 510(k) Summary Altris, Inc Altris IMS 7/12/2023
#### ADMINISTRATIVE INFORMATION
| Manufacturer Name: | Altris, Inc.<br>125 South Clark Street<br>17th Floor<br>Chicago, Illinois 60603 | Regulatory Consultant: | Aclivi, LLC<br>3250 Brackley Drive<br>Ann Arbor, MI 48105 |
|----------------------------|---------------------------------------------------------------------------------|------------------------|-----------------------------------------------------------|
| Telephone: | +1 773 382 8709 | | +1 (810) 360-9773 |
| Official Contact<br>Email: | Andrey Kuropyatnyk, Director<br>andrey@altris.ai | | Chris Brown, Manager<br>acliviconsulting@gmail.com |
### DEVICE NAME AND CLASSIFICATION
| Trade/Proprietary Name: | Altris IMS |
|-----------------------------|--------------------------------------|
| Classification Name: | System, Image Management, Ophthalmic |
| Classification Regulations: | 21 CFR 892.2050 |
| Device Class: | Class II |
| Product Code: | NFJ |
| Review Panel: | Ophthalmic |
#### PREDICATE DEVICE INFORMATION
The Subject device is highly similar in Indications for Use, and technological/design principles to the following legally marketed Predicate device:
| 510(k) | Predicate Device Name | Company Name |
|---------|-----------------------|--------------------|
| K211715 | RetinAl Discovery | RetinAl Medical AG |
| 510(k) | Reference Device Name | Company Name |
|---------|-----------------------|--------------------|
| K170164 | 3D OCT-1 Maestro | Topcon Corporation |
#### DEVICE DESCRIPTION
Altris IMS is a cloud-based software program to assist healthcare professionals, specifically Eye Care Practitioners (ECPs) with OCT interpretation. Altris IMS utilizes commonly available internet browsers to locally manage and review data which is uploaded to an Amazon AWS cloud-based server. Its intended use is to import, store, manage, display, analyze and measure data from ophthalmic diagnostic instruments, including patient data, diagnostic data, clinical images and information, reports, and measurement of DICOM-compliant images. The platform allows the user to manually annotate areas of interest in the images, calculate the layer thickness and volume from annotated images and present the progression of the measurements. Altris IMS also provides a tool for linear distance measuring of ocular anatomy and ocular lesion distances. The platform supports DICOM format files.
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Altris IMS is focused on the center sector of the retina. Altris IMS does not perform optic nerve analysis. Altris IMS has tools for manual area of interest image segmentation and labeling/annotation for healthcare professionals to use and review for their own diagnosis.
The Subject device neither performs any diagnosis, nor provides treatment recommendations. It is solely intended to be used as a support tool by trained healthcare professionals. The software does not use artificial intelligence or machine learning algorithms.
The Subject device is a client-server model. It utilizes a local user/client internet browser-based (frontend) interface used to upload, manage, annotate, and review imaging data. Data is stored and processed on a remote web-based server (backend).
## INDICATIONS FOR USE
The Altris IMS is a standalone, browser-based software application intended for use by healthcare professionals to import, store, manage, display, and measure data from ophthalmic diagnostic instruments, including patient data, diagnostic data, clinical images and information, reports, and measurement of DICOM-compliant images. The device is also indicated for manual labeling and annotation of retinal OCT scans.
## EQUIVALENCE TO MARKETED DEVICE
Overall, the Subject device is highly similar to the Predicate device with respect to Indications for Use and technological principles. The Comparison tables below compare Indications for Use and Technological Characteristics of the Subject device and Predicate device.
| Device | Indications for Use Statement |
|------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Subject Device<br>Altris IMS<br>Altris, Inc. | The Altris IMS is a standalone, browser-based software application intended for use by healthcare<br>professionals to import, store, manage, display, analyze and measure data from ophthalmic diagnostic<br>instruments, including patient data, diagnostic data, clinical images and information, reports, and<br>measurement of DICOM-compliant images. The device is also indicated for manual labeling and<br>annotation of retinal OCT scans. |
| Predicate Device<br>RetinAl Discovery<br>RetinAl Medical AG<br>K211715 | The RetinAl Discovery is a standalone, browser-based software application intended for use by healthcare<br>professionals to import, store, manage, display, analyze and measure data from ophthalmic diagnostic<br>instruments, including: patient data, diagnostic data, clinical images and information, reports, and<br>measurement of DICOM-compliant images. The device is also indicated for manual labeling and<br>annotation of retinal OCT scans. |
| Reference Device<br>3D OCT-1 Maestro<br>Topcon Corporation<br>K170164 | The 3D OCT-1 Maestro with new line CCD has the following intended use and indications for use:<br>The Topcon 3D OCT-1 Maestro is a non-contact, high resolution tomographic and biomicroscopic imaging<br>device that incorporates a digital camera for photographing, displaying and storing the data of the retina<br>and surrounding parts of the eye to be examined under Mydriatic and non-Mydriatic conditions.<br>The 3D OCT-1 Maestro is indicated for in vivo viewing, axial cross sectional, and three-dimensional<br>imaging and measurement of posterior ocular structures, including retina, retinal nerve fiber layer, macula<br>and optic disc as well as imaging of anterior ocular structures.<br>It also includes a Reference Database for posterior ocular measurements which provide for the<br>quantitative comparison of retinal nerve fiber layer, optic nerve head, and the macula in the human retina<br>to a database of known normal subjects. The 3D OCT-1 Maestro is indicated for use as a diagnostic device<br>to aid in the diagnosis, documentation and management of ocular health and diseases in the adult<br>population. |
## Indications for Use Statement (IFUS)
The wording of the Indications for Use Statement (IFUS) of the Subject device is highly similar to that of the Predicate device, differing only in device name. This does not change the intended use of the devices to import, store, manage, display, analyze and measure data from ophthalmic diagnostic instruments.
The wording of the Indications for Use Statement (IFUS) of the Subject device is similar to that of the Reference device. The Reference device includes imaging equipment and additional imaging measurement and comparison
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features. This does not change the fundamental intended use of the devices to store, manage, display, analyze and measure data from ophthalmic diagnostic instruments.
| Technological Characteristics | | | |
|-------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------|
| Parameter | Subject Device<br>Altris IMS<br>Altris, Inc. | Predicate Device<br>RetinAl Discovery<br>RetinAl Medical AG<br>K211715 | Reference Device<br>3D OCT-1 Maestro<br>Topcon Corporation<br>K170164 |
| Reason for Predicate | n/a | Ophthalmic software to import, store,<br>manage, display, analyze and measure<br>data from ophthalmic diagnostic<br>instruments | Measurement comparison |
| Device | System, image management,<br>ophthalmic | System, image management,<br>ophthalmic | Tomography, Optical Coherence |
| Trade Name | Altris IMS | RetinAl Discovery | 3D OCT-1 Maestro |
| Regulation # | 21 CFR 892.2050 | 21 CFR 892.2050 | 21 CFR 886.1570 |
| Regulation Name | Medical Image Management and<br>Processing System | Medical Image Management and<br>Processing System | Ophthalmoscope |
| Product Code | NFJ | NFJ | OBO |
| Classification | Class II | Class II | Class II |
| User Population | Trained medical professionals | Trained medical professionals | Trained medical professionals |
| Device Type | Software only | Software only | Imaging system with<br>storage/management software |
| Operating System | Internet Web Browser-based<br>• Google Chrome: Version v.88 and later<br>• Mozilla Firefox: Version v.89 and later<br>• Opera: Version v.74 and later<br>• Apple Safari: Version v.15 and later | Internet Web Browser-based<br>• Browsers and versions not specified | PC-based with dedicated software<br>• Operating system not specified |
| Data and Supported<br>Formats | DICOM-compliant files from an<br>ophthalmic device (Scanning Laser<br>Ophthalmoscope, Fundus photographs,<br>Optical Coherence Tomography unit,<br>etc.) | DICOM-compliant files from an<br>ophthalmic device (Scanning Laser<br>Ophthalmoscope, Fundus photographs,<br>Optical Coherence Tomography unit,<br>etc.) | DICOM-compliant files (based on<br>device labeling) and different types of<br>scans and photography protocols |
| Supported Machines | DICOM-compliant devices | DICOM-compliant devices | DICOM-compliant devices |
| Image Annotation and<br>Measurement | Yes | Yes | Yes |
| Sharing | Share images with current layout with<br>another user via shareable link | Share images with current layout with<br>another user via shareable link | Not defined in device labeling |
| Biocompatible | n/a | n/a | n/a |
| Sterility | n/a | n/a | n/a |
| OTC or Rx | Rx | Rx | Rx |
The Subject and Predicate devices are highly similar standalone browser-based software devices intended to display, and annotate previously acquired images of the eye in order to streamline review of such images by healthcare professionals. Neither the Subject or Predicate devices are used to offer capture components or are used directly to acquire images. The Subject device can be used on a variety of web browsers (i.e., Google Chrome, Mozilla Firefox, Opera, Apple Safari). The Predicate device also operates with an internet web browser interface but has not provided specific browser and version information in public facing documents. Internet web browsers are ubiquitous and regularly updated, so use of a specific browser or browser version number does not impact evaluation of device similarities as the browser is simply the interface to the Subject device and numerous options exist for users. Therefore, the Subject and Predicate are highly similar in the use of a web-browser interface. The Subject and Predicate device feature highly similar capabilities of manual measurement and annotation of OCT imaging.
The K170164 Reference device does not share the same regulation or product code as the Subject device as it is a combined imaging and image management device with the imaging device as the primary product code. Both the Subject and Reference devices are operated from a computer, but the Reference device has a dedicated software program rather than a web-browser based interface. Both the Subject and Reference devices support image annotation and measurement from DICOM-compliant imaging systems and both work with a variety of photography formats. Differences between the Subject and K170164 Reference device software formats do not change the intended uses to import, store, manage, display, analyze and measure data from ophthalmic diagnostic instruments. The Reference device is included in support of comparative
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measurement validation of the Subject device. The use of Predicate device as a standalone, web-browserbased program supports the Subject device web-browser-based program configuration.
Software validation and verification and validation were used to demonstrate the Subject device performs as intended similarly to the Predicate device.
#### PERFORMANCE DATA
Due to the difficulty in evaluating this type of software, no direct performance bench testing of software to an established standard was performed.
The following non-clinical performance tests were performed to assist in establishing similarity with the Predicate device and suitability for intended use:
- Software Verification
- . Software Validation
- Comparative Software measurement study with the K170164 Reference device.
#### CONCLUSION
Overall, the Indications for Use statement for the Subject and Predicate devices is highly similar.
Overall, the Technological Characteristics of the Subject device are highly similar to the Predicate device.
The conclusions drawn from the nonclinical tests demonstrate that the proposed Subject device is as safe, as effective, and performs as well as the legally marketed Predicate device, according to 807.92(b)(3).
Overall, the Altris IMS software is substantially equivalent to the Predicate device.
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.