Optina-4C™ is a non-contact, high resolution digital imaging device which is suitable for photographing, displaying, storing, and transferring images of the retina. The Optina-4C is indicated for the viewing of the posterior segment of the eye at multiple wavelengths (colors) under mydriatic conditions. Images are intended to aid clinicians in the detection, diagnosis, and management of ocular health and disease.
Device Story
Non-contact, high-resolution digital fundus camera; captures 92 images at 5 nm increments (450-905 nm) using Hyperspectral Imaging (HSI). Operates under mydriatic conditions; <2s acquisition time; 0.92s light exposure. Processes raw data into 'HSI-NormReg Cube' via intensity normalization and spatial registration to correct for illumination and eye movement. Used by eye care professionals in clinical settings. Outputs include 2D en face images, spectral cubes, and various processed views (e.g., Hemoglobin, Carotenoids). Data transferred via MDDS to PACS or local storage. Aids clinicians in visualizing retinal chromophores and drusenoid deposits to support diagnosis of AMD, RPE disruptions, and retinopathies.
Clinical Evidence
Bench testing only. Evaluated spectral accuracy using spectrometers and eye models with reference materials. Software verification and validation performed per IEC 62304 (Safety Class B). Operator quality feedback performance: 84.39% sensitivity, 84.35% specificity. Electrical safety and EMC verified per ANSI AAMI ES60601-1 and IEC 60601-1-2.
Technological Characteristics
Non-contact fundus camera; HSI technology; 31° field-of-view. Connectivity: MDDS, SFTP, LAN, DICOM. Software: Embedded, Moderate Level of Concern, Safety Class B. Standards: ISO 10940 (fundus camera), ISO 15004-1 (ophthalmic instruments), ANSI Z80.36 (optical radiation safety), NEMA PS 3.1-3.20 (DICOM), ISO 10993-1 (biocompatibility).
Indications for Use
Indicated for viewing the posterior segment of the eye under mydriatic conditions to aid clinicians in the detection, diagnosis, and management of ocular health and disease, including age-related macular degeneration (AMD), retinal pigment epithelium (RPE) disruptions, lesions, and retinopathies.
Regulatory Classification
Identification
An ophthalmic camera is an AC-powered device intended to take photographs of the eye and the surrounding area.
Special Controls
*Classification.* Class II (special controls). The device, when it is a photorefractor or a general-use ophthalmic camera, is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 886.9.
{0}
FDA U.S. FOOD & DRUG ADMINISTRATION
September 4, 2025
Optina Diagnostics Inc.
Sarah Lemaire
QA/RA Manager
8200 Boulevard Decarie
Montreal, QC H4P 2P5
Canada
Re: K250770
Trade/Device Name: Optina-4C (MHRC-C1N)
Regulation Number: 21 CFR 886.1120
Regulation Name: Ophthalmic Camera
Regulatory Class: Class II
Product Code: HKI
Dated: August 1, 2025
Received: August 4, 2025
Dear Sarah Lemaire:
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.
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"
U.S. Food & Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993
www.fda.gov
{1}
K250770 - Sarah Lemaire
Page 2
(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.
All medical devices, including Class I and unclassified devices and combination product device constituent parts are required to be in compliance with the final Unique Device Identification System rule ("UDI Rule"). The UDI Rule requires, among other things, that a device bear a unique device identifier (UDI) on its label and package (21 CFR 801.20(a)) unless an exception or alternative applies (21 CFR 801.20(b)) and that the dates on the device label be formatted in accordance with 21 CFR 801.18. The UDI Rule (21 CFR 830.300(a) and 830.320(b)) also requires that certain information be submitted to the Global Unique Device Identification Database (GUDID) (21 CFR Part 830 Subpart E). For additional information on these requirements, please see the UDI System webpage at https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance/unique-device-identification-system-udi-system.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-devices/medical-device-safety/medical-device-reporting-mdr-how-report-medical-device-problems.
{2}
K250770 - Sarah Lemaire
Page 3
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,
Alexander Beylin -S
Date: 2025.09.04 15:25:49 -04'00'
for 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
{3}
| Indications for Use | | |
| --- | --- | --- |
| Please type in the marketing application/submission number, if it is known. This textbox will be left blank for original applications/submissions. | K250770 | ? |
| Please provide the device trade name(s). | | ? |
| Optina-4C (MHRC-C1N) | | |
| Please provide your Indications for Use below. | | ? |
| Optina-4C™ is a non-contact, high resolution digital imaging device which is suitable for photographing, displaying, storing, and transferring images of the retina. The Optina-4C is indicated for the viewing of the posterior segment of the eye at multiple wavelengths (colors) under mydriatic conditions.
Images are intended to aid clinicians in the detection, diagnosis, and management of ocular health and disease. | | |
| Please select the types of uses (select one or both, as applicable). | ☑ Prescription Use (Part 21 CFR 801 Subpart D)
☐ Over-The-Counter Use (21 CFR 801 Subpart C) | ? |
{4}
THE
Optina
DIAGNOSTICS
OPTINA DIAGNOSTICS Inc. 8200 Decarie Boulevard, Montreal, Quebec H4P 2P5 CANADA
Traditional 510(k)
Optina-4C™
Model: MHRC-C1N
# 510(k) Summary K250770
| APPLICANT | Optina Diagnostics, Inc
8200 Decarie Blvd, Suite 220 Montreal (QC)
H4P 2P5
Phone: 514-394-0797 |
| --- | --- |
| ESTABLISHMENT REGISTRATION NUMBER | Registration Number: 3014606890
Owner Operator Number: 10081796 |
| DATE PREPARED | August 1st, 2025 |
| CONTACT PERSON | Sarah Lemaire QA/RA Manager
Email: slemaire@optinadx.com
Phone: 579-421-0126 |
| TRADE NAME | Optina-4C™ |
| MODEL | MHRC-C1N |
| COMMON NAME | Fundus camera |
| CLASSIFICATION NAME | Camera, Ophthalmic, Ac-Powered (21 CFR 886.1120, Product Code HKI) |
| DEVICE CLASSIFICATION | Class II |
| PREDICATE DEVICES | MHRC-C1N (K231230)
Camera, Ophthalmic, Ac-Powered (21 CFR 886.1120, Product Code HKI) |
# 1. Description of the Modified Device
The Optina-4C™ (MHRC-C1N) is a non-contact mydriatic retinal camera (also called a fundus camera) designed to provide eye care professionals with a series of images of the retina obtained at specific wavelengths (colors). The Optina-4C processes images using algorithms that take advantage of the spectral information to produce 2D en face images of the retina as an aid to clinicians in the diagnosis of age-related macular degeneration (AMD), retinal pigment epithelium (RPE) disruptions and lesions, retinopathies, and other retinal diseases.
Utilizing Hyperspectral Imaging (HSI) technology, the Optina-4C captures a series of 92 high-resolution images at precise 5 nm wavelength increments across the visible and near-infrared (NIR) spectrum on a ~31° field-of-view. Image acquisition takes under two seconds, with only 0.92 seconds of light exposure time. During this time, the camera scans through all wavelengths from 905 to 450 nm, spending 10 milliseconds per 5 nm step.
{5}
ORIT
Optima DIAGNOSTICS
OPTINA DIAGNOSTICS Inc.
8200 Decarie Boulevard, Montreal, Quebec H4P 2P5
CANADA
Traditional 510(k)
Optina-4C™
Model: MHRC-C1N
The Optina-4C processes the images to provide spectrally calibrated, normalized, and registered images in a structured Hyperspectral Cube format for scroll-through viewing. The spectral resolution supports visualization and differentiation of drusenoid deposit types, as well as high contrast viewing of the retinal chromophores hemoglobin, melanin, and carotenoids (combination of lutein and zeaxanthin). Images can be viewed, stored or transferred in their native .h5 format, or as DICOM or PNG formats. Optina-4C images offer sharp, vivid, high-contrast coronal views of the posterior segment of the eye for clinical assessment and evaluation by eye care professionals.
The HSI NormReg Cube is a processed data set of 91 hyperspectral images that have undergone intensity normalization and spatial registration. Normalization corrects for the non-uniform illumination profile of the imaging system and the spectral sensitivity of the camera, while registration compensates for intra-scan eye movement to ensure consistent alignment across frames. The result is a hyperspectral image cube with enhanced spatial and spectral fidelity, referred to as the HIS-NormReg Cube.
# 2. Indications for Use
Optina-4C™ is a non-contact, high resolution digital imaging device which is suitable for photographing, displaying, storing, and transferring images of the retina. The Optina-4C is indicated for the viewing of the posterior segment of the eye at multiple wavelengths (colors) under mydriatic conditions. Images are intended to aid clinicians in the detection, diagnosis, and management of ocular health and disease.
# 3. Technological Characteristics
The table below contains a summary of the technological characteristics of the new version of the Optina-4C camera compared to the predicate device.
| TRADE NAME | Optina-4C™ | | SE discussion |
| --- | --- | --- | --- |
| MODEL | MHRC-C1N | | |
| 510K number | K250770 | K231230 | |
| Energy source | Identical | | N/A |
| Hardware components | Identical | | N/A |
| Dimensions | Identical | | N/A |
| Software components | | | |
| Network connectivity | Optina's Medical Device Data System (MDDS) used to transfer Images (h5 cubes) from Optina-4C system to either: - Optina PACS system (Azure) through a | N/A | Equivalent A security risk assessment has been conducted and demonstrated that no additional safety risks have been generated compared to the predicate device. The software verification and validation testing have been completed in accordance with our internal procedures for software validation and taking account the |
{6}
ORIT
Optima DIAGNOSTICS
OPTINA DIAGNOSTICS Inc.
8200 Decarie Boulevard,
Montreal, Quebec H4P 2P5
CANADA
Traditional 510(k)
Optina-4C™
Model: MHRC-C1N
| | SSH File Transfer Protocol (SFTP)
- Customer local storage through a LAN connection
- Customer PACS system through DICOM protocol | | DICOM requirements. |
| --- | --- | --- | --- |
| Mean White Generator | Tool to adjust for illumination uniformity and intensity (mean white), internal reflection (mean baseline), and reading noise (mean dark). | N/A | **Equivalent**
A security risk assessment has been conducted and demonstrated that no additional safety risks have been generated compared to the predicate device.
The software verification and validation testing have been completed in accordance with our internal procedures for software validation |
| Operator Quality Feedback | Notify the operator if an artefact is detected in the acquired image.
- Sensitivity: 84.39%
- Specificity: 84.35% | N/A | **Equivalent**
The software verification and validation testing have been conducted in accordance with the ISO 62304 standard and usability requirements.
The documentation has been provided with this submission. |
| Optic nerve display | Display optic nerve target | N/A | **Equivalent**
The software verification and validation testing have been conducted in accordance with the ISO 62304 standard and usability requirements.
The documentation has been provided with this submission. |
| New retinal images | The following new images are generated:
- NormReg
- DeepRed
- RedFree
- RelSpec
- Blue
- RGB
- HEM
- MP | N/A | **Equivalent**
The software verification and validation testing have been conducted in accordance with the ISO 62304 standard and usability requirements.
The documentation has been provided with this submission. |
3 | Page
{7}
ORTINA DIAGNOSTICS
OPTINA DIAGNOSTICS Inc.
9200 Decarle Boulevard, Montreal, Quebec H4P 2P5
CANADA
Traditional 510(k)
Optina-4C™
Model: MHRC-C1N
| DICOM | Convert the file into a DICOM format. | N/A | Equivalent
The DICOM converter software has been designed in compliance with the NEMA PS 3.1 - 3.20 standard.
The software verification testing has been completed in accordance with the ISO 62304 standard and no additional safety risks have been generated compared to the predicate device.
The documentation has been provided |
| --- | --- | --- | --- |
## 4. Performance Testing
The following performance data were conducted to support the substantial equivalence determination.
- Software evaluation
Optina-4C™ uses embedded Off-The-Shelf software and Software-of-Unknown-Provenance. This software was evaluated for use in accordance with the FDA’s Guidance for Industry “Off-The-Shelf Software Use in Medical Devices” (August 2023) based on a “Moderate Level of Concern” and IEC 62304:2006 + A1:2015 based on a ‘Safety class B’
- Electrical safety and electromagnetic compatibility
It was verified that the Optina-4C™ complies with the standard ANSI AAMI ES60601-1: 2005/(R)2012 & A1:2012, C1:2009/(R)2012 & A2:2010/(R)2012 (Cons. Text) [Incl. AMD2:2021] for electrical safety and with the standard IEC 60601-1-2: Edition 4.1 2020-09 CONSOLIDATED VERSION for electromagnetic compatibility.
- Evaluation of recognized consensus standards for ophthalmic cameras
Optina-4C™ was found to comply with the recognized consensus standard ISO 15004-1:2020 specifying general requirements for ophthalmic instruments.
The following performance data were conducted on the marketed device (MHRC-C1). No changes that can affect the evaluation or results of these recognized consensus standards were implemented on the Optina-4C™.
- Spectral accuracy and reliability of the retinal images
The spectral accuracy of the illumination light of the MHRC-C1 was verified using a spectrometer. The spectral accuracy and reliability of the retinal images were evaluated in an eye model using a reference material with tabulated spectral bands.
- Biocompatibility
4 | Page
{8}
THE UNIVERSITY OF OPTINA DIAGNOSTICS
OPTINA DIAGNOSTICS Inc.
8200 Decarie Boulevard,
Montreal, Quebec H4P 2P5
CANADA
Traditional 510(k)
Optina-4C™
Model: MHRC-C1N
The intact skin from the chin and forehead of the patient is intended to contact the MHRC-C1 for a short period of time. The biocompatibility of the MHRC-C1 was assessed in accordance with ISO 10993-1:2018.
- Evaluation of recognized consensus standards for ophthalmic cameras
Optina-4C™ was found to comply with the recognized consensus standard ISO 10940:2009 specifying product requirements for fundus camera.
Optina-4C™ was found to comply with the recognized consensus standard ANSI Z80.36: 2021 specifying fundamental requirements for optical radiation safety for ophthalmic instruments.
- Medical image management and processing system
Optina-4C™ was found to comply with the recognized consensus standard NEMA PS 3.1 - 3.20 2024 specifying product requirements Digital Imaging and Communications in Medicine (DICOM) Set.
5. Substantial Equivalence
In conclusion, the performance testing support that the Optina-4C™ meets the recognized consensus standards for a fundus camera and that retinal imaging at multiple wavelengths (colors) may be accurately and reliably achieved. The proposed device did not raise new concerns regarding its safety and efficacy for its intended use and was therefore deemed substantially equivalent to the predicate device.
5 | Page
Predicate graph will load when search results are available.
Embedding visualization will load when search results are available.
PDF viewer will load when search results are available.
Loading panels...
Select an item from Submissions
Click any panel, subpart, regulation, product code, or device to see details here.
Section Matches
Results will appear here.
Product Code Matches
Results will appear here.
Special Control Matches
Results will appear here.
Loading collections...
Loading
My Alerts
You will receive email notifications based on the filters and frequency you set for each alert.
Sort by:
Create Alert
Search Filters
Agent Token
Create a read-only bearer token for Claude, ChatGPT, or other agents that can call HTTP APIs.
Copy this now. It will not be shown again.
Connected apps
Apps you authorized through browser sign-in. Disconnecting revokes their access immediately.
Learn the FDA Browser
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.