The Aurora sensor is recommended for use with a ring and bar style holder for alignment, although the use of such a device is not critical to the function of the sensor. The sensor comes in two sizes, Size 1 and Size 2, designed to accommodate the acquisition of images in different locations (e.g. horizontal bite wings, vertical bite wings, anterior periapical, etc.) and different patient mouth sizes.
Device Story
Aurora is an intraoral digital x-ray sensor used by dental professionals in clinical settings. The device consists of a scintillation plate (CsI) coupled to a CMOS detector via a fiber optic plate. It captures incident x-ray radiation from an external dental x-ray source and converts it into digital images. The sensor connects to a PC via a 2-meter USB 2.0 cable. A software package (Apteryx Xray Vision) manages image acquisition and display on a computer screen for diagnostic review by the dentist. The device is used with a disposable sensor barrier to prevent patient contact, eliminating the need for direct sterilization of the sensor. The output provides high-resolution radiographic images, aiding in the diagnosis of oral diseases and assessment of dental health. The system does not control the x-ray generator.
Clinical Evidence
No clinical trials were required. Bench testing confirmed performance against IEC 60601-1, IEC 60601-1-2, IEC 62220-1, and IEC 60529. Supplemental clinical images were reviewed by a qualified dentist and confirmed to be of diagnostic quality.
Indicated for dental professionals to acquire x-ray images for the diagnosis of diseases of the mouth and evaluation of general dental health in patients of varying mouth sizes.
Regulatory Classification
Identification
An extraoral source x-ray system is an AC-powered device that produces x-rays and is intended for dental radiographic examination and diagnosis of diseases of the teeth, jaw, and oral structures. The x-ray source (a tube) is located outside the mouth. This generic type of device may include patient and equipment supports and component parts.
{0}------------------------------------------------
Image /page/0/Picture/0 description: The image contains two logos. On the left is the Department of Health & Human Services logo, which features a stylized human figure. To the right of that is the FDA logo, which is a blue square with the letters "FDA" in white, followed by the words "U.S. FOOD & DRUG ADMINISTRATION" in blue.
July 20, 2018
Sodium Systems, LLC % Brandon Bachler, Ph.D. Chief Technology Officer 1050 Highland Drive, Suite E ANN ARBOR MI 48108
Re: K181636
Trade/Device Name: Aurora Regulation Number: 21 CFR 872.1800 Regulation Name: Extraoral source x-ray system Regulatory Class: II Product Code: MUH Dated: June 18, 2018 Received: June 21, 2018
Dear Dr. Bachler:
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. 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 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); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820);
{1}------------------------------------------------
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 http://www.fda.gov/MedicalDevices/Safety/ReportaProblem/default.htm.
For comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/MedicalDevices/DeviceRegulationandGuidance/) and CDRH Learn (http://www.fda.gov/Training/CDRHLearn). 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 (http://www.fda.gov/DICE) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely.
Hole 2. Nild
Robert Ochs, Ph.D. Director Division of Radiological Health Office of In Vitro Diagnostics and Radiological Health Center for Devices and Radiological Health
Enclosure
{2}------------------------------------------------
## Indications for Use
510(k) Number (if known) K181636
Device Name Aurora
Indications for Use (Describe)
Aurora is an intra-oral sensor used by dental professionals for the purpose of acquiring x-ray images to be used for the diagnosis of diseases of the mouth and for evaluating general dental health.
| Type of Use (Select one or both, as applicable) | |
|-------------------------------------------------|-------------------------------------------------------------------------------------|
| | <span style="font-size:100%;">☒</span> Prescription Use (Part 21 CFR 801 Subpart D) |
| | <span style="font-size:100%;">☐</span> Over-The-Counter Use (21 CFR 801 Subpart C) |
CONTINUE ON A SEPARATE PAGE IF NEEDED.
This section applies only to requirements of the Paperwork Reduction Act of 1995.
#### *DO NOT SEND YOUR COMPLETED FORM TO THE PRA STAFF EMAIL ADDRESS BELOW.*
The burden time for this collection of information is estimated to average 79 hours per response, including the time to review instructions, search existing data sources, gather and maintain the data needed and complete and review the collection of information. Send comments regarding this burden estimate or any other aspect of this information collection, including suggestions for reducing this burden, to:
> Department of Health and Human Services Food and Drug Administration Office of Chief Information Officer Paperwork Reduction Act (PRA) Staff PRAStaff@fda.hhs.gov
"An agency may not conduct or sponsor, and a person is not required to respond to, a collection of information unless it displays a currently valid OMB number."
{3}------------------------------------------------
# 510(k) Summary
#### Submitter
Sodium Systems, LLC 1050 Highland Drive, Ste. E Ann Arbor, MI 48108 Date: 6/5/2018
Phone: 800-821-8962 Fax: 866-611-0677 Contact Person: Brandon Bachler Contact email: brandon.bachler@sodiumdental.com
## Device Name/Classification
Proprietary trade name: Aurora Common name: Intraoral digital x-ray sensor Classification name: Extraoral Source X-ray System Regulatory class: Class II Regulation number: 21 CFR 872.1800 Classification Code: MUH Submission type: 510(k) - Traditional Medical Specialty: Dental
## Predicate Device
Company: Denterprise International, Inc. Device name: QuickRay HD 510(k) number: K151926 Regulation number: 21 CFR 872.1800 Regulation name: Extraoral source x-ray system Regulatory class: II Classification code: MUH Clearance date: December 14, 2015
{4}------------------------------------------------
## Product Description
Aurora is an intraoral digital x-ray system used to acquire digital x-ray images when used with an external x-ray source.
The sensor is composed of a scintillation plate that converts incident x-ray light into visible light, which is coupled to a CMOS detector via a fiber optic plate (FOP) collimator. It connects to a PC via a 2-meter cable with USB 2.0 interface. A trained dental professional (e.g. Dentist, Dental Assistant, etc.) will operate the sensor by aligning the device inside the mouth using a positioning device, such as ring and bar holder, and then using an external x-ray source (i.e. dental x-ray tube head) to expose the sensor to radiation with the oral tissue of interest between.
A software package will control the acquisition of the x-ray image from the sensor itself and will interpret the data to create an image on a computer screen for the dentist to use for diagnosis. Neither the software package nor the x-ray sensor controls the x-ray generating source in any fashion. The software package used by Sodium Dental is Xray Vision® from Apteryx, Inc (K983111). The Xray Vision® software is a network-based image acquisition and management software used to acquire x-ray/camera images and store them in a patient database.
Aurora is designed to be used at all times with a sensor barrier to prevent any direct contact with the inside of a patient's mouth, an example of which is the product from Trollhatteplast AB.: TrollBag - registration number 3004116514. When used properly with a new sensor barrier for each patient, the unit can be reused without the need to use sterilization equipment that would destroy the sensor. At no point does the sensor itself come in contact with the patient's mouth. Sodium Systems provides thorough instructions for handling and cleaning the sensor.
## Indications for use
Aurora is an intra-oral x-ray sensor used by dental professionals for the purpose of acquiring xray images to be used for the diagnosis of diseases of the mouth and for evaluating general dental health.
## Intended use
The Aurora sensor is recommended for use with a ring and bar style holder for alignment, although the use of such a device is not critical to the function of the sensor. The sensor comes in two sizes, Size 1 and Size 2, designed to accommodate the acquisition of images in different locations (e.g. horizontal bite wings, vertical bite wings, anterior periapical, etc.) and different patient mouth sizes.
{5}------------------------------------------------
## Comparison with Predicate Device
Aurora is an identical device to the predicate device, the QuickRay HD (K151926) by Denterprise International, Inc. The predicate device is the same hardware device from the same hardware manufacturer, Hamamatsu. The device differs from Aurora by labeling only – no functional differences between the predicate sensor and Aurora exist.
As with our device, the predicate device comes in two sizes, size 1 and size 2. In each case, the manufacturing number from Hamamatsu is identical.
A comparison table between our sensor and the predicate device is provided below, although it should be noted that since it is identical hardware from the same manufacturer, all values in the table are necessarily the same. All values provided are for size 2 sensors. Size 1 devices are also identical to all predicate values.
| | Aurora sensor<br>(subject) | QuickRay HD<br>(predicate) | Differences |
|--------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------|
| 510(k) | Not assigned yet | K151926 | N/A |
| Applicant/510(k)<br>owner | Sodium Systems, LLC. | Denterprise<br>International, Inc. | N/A |
| Manufacturer -<br>Software Component | Apteryx, Inc. | Apteryx, Inc. | None |
| Classification &<br>Product Code | 872.1800; MUH | 872.1800; MUH | None |
| Common Name | Intraoral Digital X-ray<br>Sensor | Intraoral Digital X-ray<br>Sensor | None |
| Indications for use | Acquisition of x-ray<br>images to be used for<br>the diagnosis of<br>diseases of the mouth<br>and for evaluating<br>general dental health. | Radiographic<br>examination and<br>diagnosis of diseases of<br>the teeth, jaw, and oral<br>structure. | Equivalent |
| Principles of Operation | X-ray (radiation) →<br>scintillator (convert to<br>visible light) → fiber<br>optic plate (filtering) →<br>CMOS (convert to<br>digital image) →<br>electronics → PC<br>(capture and display<br>image) | X-ray (radiation) →<br>scintillator (convert to<br>visible light) → fiber<br>optic plate (filtering) →<br>CMOS (convert to<br>digital image) →<br>electronics → PC<br>(capture and display<br>image) | None |
| Software - Firmware | Firmware combined on<br>sensor electronic board | Firmware combined on<br>sensor electronic board | None |
| Software - Image Management | XRayVision (Apteryx, Inc.) | XRayVision (Apteryx, Inc.) | None |
| Sensor Technology | CMOS chip + fiber optic plate + Csl scintillator | CMOS chip + fiber optic plate + Csl scintillator | None |
| Matrix Dimensions (mm²) | Active area: 600 mm² (Size 1); 884 mm² (Size 2) | Active area: 600 mm² (Size 1); 884 mm² (Size 2) | None |
| Matrix Dimensions (pixels) | 1000 lines x 1500 lines (Size 1); 1300 lines x 1700 lines (Size 2) | 1000 lines x 1500 lines (Size 1); 1300 lines x 1700 lines (Size 2) | None |
| CMOS Lifespan | Min. 100,000 cycles | Min. 100,000 cycles | None |
| Resolution | Real ≥ 20 lp/mm | Real ≥ 20 lp/mm | None |
| Pixel Size | 20 x 20 μm | 20 x 20 μm | None |
| Grey Levels | 14 bits | 14 bits | None |
| Sensor Board | All control electronics integrated directly on CMOS sensor chip | All control electronics integrated directly on CMOS sensor chip | None |
| Sensor Shell | Material is ABS and the flammability is HB if YK-94 (UL File No. 49895) | Material is ABS and the flammability is HB if YK-94 (UL File No. 49895) | None |
| Cable Material and Design | Cable consists of PVC, ETFE, copper, plug connector and sensor connector, diameter ⌀ 3.7 ± 0.3 mm and cable length 2 meters. | Cable consists of PVC, ETFE, copper, plug connector and sensor connector, diameter ⌀ 3.7 ± 0.3 mm and cable length 2 meters. | None |
| Connection to Imaging Practice PC | USB 2.0 High-speed | USB 2.0 High-speed | None |
| Operating Temperature | 0° C to 35° C | 0° C to 35° C | None |
| Sensor Input Voltage and Current | 5V (via USB connection); 0.15 A Max | 5V (via USB connection); 0.15 A Max | None |
| Standards of Conformity | IEC 60601-1 (Electrical) IEC 60601-1-2 (EMC) 62220-1 (Performance) 60529 (IP Code) | IEC 60601-1 (Electrical) IEC 60601-1-2 (EMC) 62220-1 (Performance) 60529 (IP Code) | None |
{6}------------------------------------------------
{7}------------------------------------------------
| Input | Calculation software*1 | Output |
|-----------------------|---------------------------------------|--------|
| MTF<br>NNPS<br>$\Phi$ | $DQE = \frac{MTF^2}{\Phi \cdot NNPS}$ | DQE |
*1: The calculation procedure is the same as that in IEC62220-1.
Image /page/7/Figure/2 description: The image contains two line plots that show the relationship between spatial frequency and two different metrics: DQE (Detective Quantum Efficiency) and MTF (Modulation Transfer Function). Both plots have spatial frequency on the x-axis, ranging from 0 to 25 cycles/mm. The DQE plot shows a curve that starts at approximately 0.45 and decreases to nearly 0 as spatial frequency increases, while the MTF plot starts at 1.0 and decreases to nearly 0 as spatial frequency increases.
{8}------------------------------------------------
Image /page/8/Figure/0 description: The figure is a plot of NNPS [mm^2] vs Spatial Frequency [cycles/mm]. The x-axis is the spatial frequency, ranging from 0 to 30 cycles/mm. The y-axis is the NNPS, ranging from 1.E-08 to 1.E-04 mm^2. The plot shows a decreasing trend, with the NNPS decreasing as the spatial frequency increases.
## Performance Data
Clinical images were provided; these images were not necessary to establish substantial equivalence based on the modifications to the predicate device but they provide further evidence in addition to bench testing data to show that the complete system works as intended.
Clinical images were examined by Dr. Tiffany Danyal, D.D.S., a qualified practitioner of Clarkson Village Dental, Clarkston, MI. The images were determined by Dr. Danyal to be of diagnostic quality and usefulness for evaluation of all relevant oral structures.
## Biocompatibility
Because Aurora is intended to be used with a sensor barrier shield, such as the product from Dentsply, Inc.: Universal Digital Sensor Cover (SKU 550500), there is no contact between the sensor and patient. As a result, biocompatibility testing is not necessary or pertinent for this device. Nonetheless, a biomedical conformity test report is included in this submission.
## Electromagnetic Compatibility and Electrical, Mechanical, and Thermal Safety
Aurora has been tested for full compliance to electrical and safety standard IEC 60601-1 -Medical electrical equipment - Part 1: General requirements for basic safety and essential performance, just as the predicate device has. Similarly, Aurora has been tested for full compliance to electrical and safety standard IEC 60601-1-2 - Medical electrical equipment - Part 1-2: General requirements for basic safety and essential performance – Collateral Standard: Electromagnetic Compatibility.
{9}------------------------------------------------
## Guidance Documents
The following device specific guidance documents were used in the development of the Aurora sensor:
- 1. Guidance for the Submission of 510(k)s for Solid State Imaging Devices, issued on September 1, 2016
- 2. Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices, issued on May 11, 2005
- Pediatric Information for X-ray Imaging Device Premarket Notifications, issued 3. November 28, 2017
- 4. Guidance for the Content of Premarket Submissions for Management of Cybersecurity in Medical Devices, issued on October 2, 2014
## Software Verification and Validation Testing
The Aurora sensor contains firmware and driver software, both provided by Hamamatsu. The Aurora sensor also uses imaging software - previously cleared by the FDA - provided by Apteryx, lnc. (Xray Vision®, K983111). Firmware and driver documentation for the subject device are included in this petition, along with the 510(k) summary for the Apteryx Xray Vision® companion software. Firmware and driver software were both cleared previously with the predicate device. The previously cleared Apteryx XRay Vision Imaging Software has not been modified for use with Aurora.
## Bench Testing
Bench tests were performed on the Aurora, in accordance with IEC 60601-1 (Medical electrical equipment - Part 1: General requirements for basic safety and essential performance), IEC 60601-1-2 (Medical electrical equipment – Part 1-2: General requirements for safety – Collateral standard: Electromagnetic compatibility – Requirements and tests), IEC 62220-1 (Medical Electrical Equipment – Characteristics of Digital X-ray Imaging Devices – Part 1: Determination of the Detective Quantum Efficiency) and IEC 60529 (Degrees of Protection Provided by Enclosures - IP Codes).
## Conclusion
Aurora is a sensor which is identical in hardware and uses identical software to the predicate device. The only differences between our device and the predicate device are marketing in nature - the name of the sensor and branding. No new technology, safety risks, or software are introduced in our device. Therefore, we feel that the device is substantially equivalent to the predicate device.
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.