K234047 · Brainlab AG · OLO · Mar 20, 2024 · Neurology
Device Facts
Record ID
K234047
Device Name
Automatic Registration
Applicant
Brainlab AG
Product Code
OLO · Neurology
Decision Date
Mar 20, 2024
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 882.4560
Device Class
Class 2
Attributes
AI/ML
AI Performance
Output
Algorithm
Acceptance
Observed
Dev DS
Dev Readers
Test DS
Test Readers
Vertebra detection
Convolutional Neural network (CNN)
Registration accuracy ≤ 2.5 mm (P95); mean navigation accuracy 3D deviation ≤ 1.5 mm
Registration accuracy ≤ 2.5 mm (P95); mean navigation accuracy 3D deviation ≤ 1.5 mm
—
—
—
—
Indications for Use
Automatic Registration is a software device for image guided surgery intended to be used in combination with compatible Brainlab navigation systems such as the Brainlab Spine & Trauma Navigation System. Automatic Registration provides an image registration for intraoperatively acquired 3D CT/CBCT or fluoroscopic images.
Device Story
Software accessory for Brainlab Spine & Trauma Navigation System; correlates intraoperative 3D CT/CBCT or fluoroscopic images to surgical environment. Uses registration matrices, adhesive markers, and calibration phantom. New feature: 'Registration Update' method uses static CNN AI/ML algorithm to detect vertebrae in 2D X-ray images; enables rough pre-positioning of 2D X-rays relative to 3D datasets; reduces manual outlining and pre-positioning. Used in OR by surgeons/clinical staff. Output provides patient registration for navigation; improves surgical accuracy and workflow efficiency by automating landmark detection and image alignment.
Clinical Evidence
No clinical testing performed. Bench testing included system registration accuracy verification in human cadavers (P95 ≤ 2.5 mm; mean 3D deviation ≤ 1.5 mm). AI/ML algorithm performance quantified via object detection, vertebra level assignment, and landmark prediction quality. Summative usability testing conducted with 15 representative users to validate new UI and workflow.
Technological Characteristics
Software-based image registration system; utilizes optical tracking. Hardware includes reusable registration matrices, adhesive markers, and calibration phantom. Software modules: Automatic Registration 2.6, Universal Atlas Performer 6.0, Universal Atlas Transfer Performer 6.0. Connectivity: DICOM-compatible with 3rd party scanners (Airo, LoopX). Algorithm: Static (locked) Convolutional Neural Network (CNN) for vertebra detection. UI: HTML5-based.
Indications for Use
Indicated for patients undergoing image-guided surgery requiring registration of intraoperatively acquired 3D CT/CBCT or fluoroscopic images to the surgical environment using compatible Brainlab navigation systems.
Regulatory Classification
Identification
A stereotaxic instrument is a device consisting of a rigid frame with a calibrated guide mechanism for precisely positioning probes or other devices within a patient's brain, spinal cord, or other part of the nervous system.
{0}------------------------------------------------
March 20, 2024
Image /page/0/Picture/1 description: The image shows the logo of the U.S. Food and Drug Administration (FDA). On the left is the Department of Health & Human Services logo. To the right of that is the FDA logo, which consists of a blue square with the letters "FDA" in white. To the right of the blue square is the text "U.S. FOOD & DRUG ADMINISTRATION" in blue.
Brainlab AG Esther Moreno Garcia QM Consultant Olof-Palme-Str.9 Munich, 81829 Germany
Re: K234047
Trade/Device Name: Automatic Registration Regulation Number: 21 CFR 882.4560 Regulation Name: Stereotaxic Instrument Regulatory Class: Class II Product Code: OLO Dated: December 21, 2023 Received: December 21, 2023
# Dear Esther Moreno Garcia:
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" (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).
{1}------------------------------------------------
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 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-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 Part 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR Parts 1000-1050.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-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,
# Tejen D. Soni -S
For
Shumaya Ali, M.P.H. Assistant Director DHT6C: Division of Restorative, Repair and Trauma Devices OHT6: Office of Orthopedic Devices Office of Product Evaluation and Quality Center for Devices and Radiological Health
{2}------------------------------------------------
# Indications for Use
510(k) Number (if known) K234047
Device Name Automatic Registration
Indications for Use (Describe)
Automatic Registration is a software device for image guided surgery intended to be used in combination with compatible Brainlab navigation systems such as the Brainlab Spine & Trauma Navigation System. Automatic Registration provides an image registration for intraoperatively acquired 3D CT/CBCT or fluoroscopic images.
Type of Use (Select one or both, as applicable)
| <div> <span style="font-size:10pt"> <span style="font-family:Wingdings">☑</span> </span> Prescription Use (Part 21 CFR 801 Subpart D) </div> |
|-----------------------------------------------------------------------------------------------------------------------------------------------------|
| <div> <span style="font-size:10pt"> <span style="font-family:Wingdings">☐</span> </span> Over-The-Counter Use (21 CFR 801 Subpart C) </div> |
#### 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}------------------------------------------------
Image /page/3/Picture/0 description: The image shows the Brainlab logo. The logo consists of a stylized pink brain icon on the left, followed by the word "BRAINLAB" in pink, uppercase letters. The brain icon appears to be made up of several curved lines, giving it a modern and abstract look.
# 510(k) Summary K234047
## March 20, 2024
| General Information | |
|----------------------------------------|-------------------------------------------------------|
| Manufacturer | Brainlab AG; Olof-Palme-Str.9, 81829, Munich, Germany |
| Establishment Registration | 8043933 |
| Trade Name | Automatic Registration |
| Classification Name | Orthopedic Stereotaxic Instrument |
| Product Code | OLO |
| Regulation Number | 882.4560 |
| Regulatory Class | II |
| Panel | Orthopedic |
| Predicate Device(s) | K203679 - Automatic Registration |
| Contact Information | |
| Primary Contact | Alternate Contact |
| Esther Moreno Garcia | Chiara Cunico |
| QM Consultant - Regulatory Affairs | Phone: +49 89 99 15 68 0 |
| Phone: +49 89 99 15 68 0 | Fax: +49 89 99 15 68 5033 |
| Email: regulatory.affairs@brainlab.com | Email: chiara.cunico@brainlab.com |
#### 1. Indications for Use
Automatic Registration is a software device for image guided surgery intended to be used in combination with compatible Brainlab navigation systems such as the Brainlab Spine & Trauma Navigation System. Automatic Registration provides an image registration for intraoperatively acquired 3D CT/CBCT or fluoroscopic images.
#### 2. Device Description
The Subject Device Automatic Registration is an accessory to the Brainlab Spine & Trauma Navigation System. It correlates intraoperatively acquired patient data (3D CT/CBCT or fluoroscopic images) to the surgical environment in order to provide a patient registration for subsequent use by the Brainlab Spine & Trauma Navigation. The device includes the following software modules:
- Automatic Registration 2.6 ●
- Universal Atlas Performer 6.0 ●
- Universal Atlas Transfer Performer 6.0 .
And uses as well several hardware devices, mainly registration matrices, adhesive flat markers and a calibration phantom, for performing the registration. The software is installed on an Image
{4}------------------------------------------------
Image /page/4/Picture/0 description: The image shows the Brainlab logo. The logo consists of a stylized brain icon on the left and the word "BRAINLAB" in capital letters on the right. The color of the logo is pink.
Guided Surgery (IGS) platform. The registration matrices are reusable devices, delivered nonsterile and having patient contact.
The image registration can be provided using different methods, depending on the compatible CT or Cone-Beam CT scanner used. There is a specific workflow integration with the 3ª party scanners Airo and LoopX, as well as a universal workflow that can be used with any CT scanner using Dicom data. As a new feature, Automatic Registration 2.6 implements the possibility to update an automatic registration generated with LoopX by using also a static (locked) Al/ ML algorithm provided by the Universal Atlas for detection of vertebrae in 2D X-Ray images. This vertebra detection is then used for a rough pre-positioning of 2D X-Rays in relation to the 3D dataset and reduces user interaction for outlining 2D images and manual pre-positioning of images.
# 3. Substantial Equivalence
For the Substantial Equivalence determination, comparison of the Subject Device features with the following predicate device(s) was carried out:
K203679 - Automatic Registration 2.5 (product code: OLO)
The predicate was chosen since it's the predecessor device and therefore very similar to the subject device w.r.t the indications for use, technological characteristics and use cases.
The main difference compared to the predicate device is the new Registration Update method using AI/ ML. The two already existing registration methods have been reimplemented in a new GUI, without significant changes.
| Indications for<br>use | Automatic Registration is a<br>surgical device for image guided<br>surgery intended to be used in<br>combination with compatible<br>Brainlab navigation systems.<br>Automatic Registration provides<br>an image registration for<br>intraoperatively acquired 3D CT/<br>CBCT or fluoroscopic images. It<br>consists of the software module<br>Automatic Registration and<br>hardware accessories. | Automatic Registration is a<br>software device for image guided<br>surgery intended to be used in<br>combination with compatible<br>Brainlab navigation systems such<br>as the Brainlab Spine & Trauma<br>Navigation System. Automatic<br>Registration provides an image<br>registration for intraoperatively<br>acquired 3D CT/CBCT or<br>fluoroscopic images. |
|----------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| | | |
| | | |
| Intended use<br>environment | Automatic Registration is<br>intended to be used in an OR<br>environment. The device is not<br>intended to be used in the MR<br>environment.. | Automatic Registration is<br>intended to be used in an OR<br>environment. The device is not<br>intended to be used in the MR<br>environment. |
| Software version | Automatic Registration 2.5 | Automatic Registration 2.6<br>Universal Atlas Performer 6.0<br>Universal Atlas Transfer<br>Performer 6.0 |
| Hardware<br>devices | Registration Matrix CT –<br>Open Surgery (Spine) Registration Matrix CT –<br>Small Incision (Spine) Registration Matrix CT –<br>Minimally Invasive (Cranial<br>and Spine) Adhesive flat markers Calibration Phantom iCT | Registration Matrix CT -<br>Open Surgery (Spine) Registration Matrix CT -<br>Small Incision (Spine) Registration Matrix CT -<br>Minimally Invasive (Cranial<br>and Spine) Adhesive flat markers Calibration Phantom iCT |
| Localization<br>technique | Optical tracking | Optical tracking |
| Registration<br>methods | Universal AIR Pre-Calibrated Automatic<br>Registration | Universal AIR Pre-Calibrated Automatic<br>Registration Registration Update |
| Image<br>registration<br>accuracy | Registration accuracy of ≤ 2.5<br>mm (P95, i.e. within the 95th<br>percentile) with a mean<br>navigation accuracy with 3D<br>deviation ≤ 1.5 mm. | Registration accuracy of ≤ 2.5<br>mm (P95, i.e. within the 95th<br>percentile) with a mean<br>navigation accuracy with 3D<br>deviation ≤ 1.5 mm. |
| UI technology | WPF | HTML5 |
| Compatible 3rd<br>party CT<br>scanners | CT and Cone Beam CT Imaging<br>devices with DICOM<br>Conformance Statement are<br>compatible (Universal AIR). | CT and Cone Beam CT Imaging<br>devices with DICOM<br>Conformance Statement are<br>compatible (Universal AIR). |
| | Airo and LoopX | Airo and LoopX |
{5}------------------------------------------------
Image /page/5/Picture/0 description: The image shows the word "BRAINLAB" in pink font. To the left of the word is a pink symbol that looks like three stylized brains stacked on top of each other. The symbol is slightly smaller than the word "BRAINLAB".
{6}------------------------------------------------
Image /page/6/Picture/0 description: The image shows the word "BRAINLAB" in pink, with a stylized pink symbol to the left of the word. The symbol appears to be three curved lines stacked on top of each other. The word "BRAINLAB" is written in a sans-serif font, with each letter capitalized. The overall image has a clean and modern look.
## 4. Performance Data
The following testing was conducted on the Subject Device to establish substantial equivalence with the predicate device:
#### Software Verification and Validation Testing
Software verification and validation testing has been conducted and documentation is provided as recommended by FDA's Guidance for Industry and FDA Staff, "Content of Premarket Submissions for Device Software Functions". These include successful implementation of product specifications, incremental testing for different release candidates, testing of risk control measures, compatibility testing or cybersecurity tests. The documentation submitted is for Enhanced Documentation level.
#### Bench Tests
- . Accuracy: For the new reqistration method "Registration Update" the overall system registration accuracy was verified in human cadavers under a representative worst case scenario. The following acceptance criteria has been fulfilled: Registration accuracy of ≤ 2.5 mm (P95, i.e. within the 95th percentile) with a mean navigation accuracy with 3D deviation ≤ 1.5 mm. Therefore the subject device achieves the same accuracy values as the registration methods available in the predicate device.
- Machine Learning: The AI/ML algorithm used in the new registration method is a Convolutional Neural network (CNN) developed using a Supervised Learning approach. The algorithm was developed using a controlled internal process that defines activities from the inspection of input data to the training and verification of the algorithm. This is a static algorithm (locked). The assessment of the AI/ML detected landmarks on X-rays has been done by quantifying the object detection, the quality of vertebra level assignment, the quality of landmark predictions, and the performance of the observer view direction for 2D X-rays from the Universal Atlas Transfer Performer 6.0.
- . Usability: Summative usability testing was performed in order to validate the new user interface and workflow guidance for the Registration Update method. The evaluation was conducted with 15 representative users which had to use the Registration Update under different circumstances. The summative usability testing identified no critical use related problems.
No clinical testing was required for the subject device.
#### 5. Conclusion
The comparison of the Subject Device with the predicate device shows that Automatic Registration (2.6) has similar functionality, intended use and technological characteristics as the predicate device. Based on the comparison to the predicate and the performance testing conducted, the Subject Device is considered 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.