K253560 · Ge Medical Systems, LLC · JAK · Jun 24, 2026 · Radiology
Device Facts
Record ID
K253560
Device Name
Enhanced Boundary for PCCT
Applicant
Ge Medical Systems, LLC
Product Code
JAK · Radiology
Decision Date
Jun 24, 2026
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.1750
Device Class
Class 2
Attributes
AI/ML, Pediatric
AI Performance
Output
Algorithm
Acceptance
Observed
Dev DS
Dev Readers
Test DS
Test Readers
Soft tissue delineation in head CT
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Reader study of sample clinical data
>1 (US board-certified radiologists)
Indications for Use
Enhanced Boundary for PCCT is a deep learning-based CT processing method used for improved soft tissue delineation in routine head exams with and without contrast. Enhanced Boundary for PCCT may be used for patients of all ages.
Device Story
Enhanced Boundary for PCCT is a deep learning-based software option for Photonova Spectra CT systems; processes routine head CT images to improve soft tissue delineation between gray matter, white matter, and cerebrospinal fluid (CSF). User selects from three enhancement strengths; algorithm reduces blurring at tissue boundaries and stabilizes CT numbers without increasing image noise. Operates on the host system's operator console computer; integrates into existing clinical workflow. Radiologists use enhanced images to improve diagnostic confidence in assessing brain structures. Benefits include clearer visualization of brain components in challenging low-contrast scenarios; preserves anatomical correctness and diagnostic interpretability.
Clinical Evidence
Clinical evidence consists of a reader study using sample clinical data evaluated by US board-certified radiologists. The study assessed diagnostic value, boundary delineation, and confidence in soft tissue assessment. Additionally, a reader assessment of hallucination risks was performed across challenging head CT cases; results demonstrated preserved anatomical correctness and diagnostic interpretability with no findings of hallucinations.
Technological Characteristics
Software-only processing algorithm deployed on Photonova Spectra CT system. Utilizes deep learning-based image reconstruction. Features three user-selectable enhancement strengths (EB1-3). Integrated into the host system's operator console computer and workflow. Compatible with 512 x 512 reconstruction matrix at 120 kVp. Developed under ISO 13485 and 21 CFR 820 quality systems.
Indications for Use
Indicated for patients of all ages undergoing routine head CT exams, with or without contrast, to improve soft tissue delineation.
Regulatory Classification
Identification
A computed tomography x-ray system is a diagnostic x-ray system intended to produce cross-sectional images of the body by computer reconstruction of x-ray transmission data from the same axial plane taken at different angles. This generic type of device may include signal analysis and display equipment, patient and equipment supports, component parts, and accessories.
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**FDA** **U.S. FOOD & DRUG**
ADMINISTRATION
June 24, 2026
Ge Medical Systems, LLC
% Veronica Aguayo
Regulatory Affairs Leader
3000 N. Grandview Blvd.
WAUKESHA, WISCONSIN 53188
Re: K253560
Trade/Device Name: Enhanced Boundary for PCCT
Regulation Number: 21 CFR 892.1750
Regulation Name: Computed Tomography X-Ray System
Regulatory Class: Class II
Product Code: JAK
Dated: May 22, 2026
Received: May 22, 2026
Dear Veronica Aguayo:
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.
U.S. Food & Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993
www.fda.gov
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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).
Your device is also subject to, among other requirements, the Quality Management System Regulation (QMSR) (21 CFR Part 820), which includes, but is not limited to, ISO 13485 clause 7.3 (Design controls), ISO 13484 clause 8.3 (Nonconforming product), and ISO 13485 clause 8.5 (Corrective and preventative action). Please note that regardless of whether a change requires premarket review, the QMSR requires device manufacturers to review and approve changes to device design and production (ISO 13485 clause 7.3 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 Management System Regulation (QMSR) (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.
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-
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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,

Digitally signed
by GABRIELA M. for
RODAL -S
Lu Jiang, Ph.D.
Assistant Director
Diagnostic X-Ray Systems Team
DHT8B: Division of Radiological Imaging
Devices and Electronic Products
OHT8: Office of Radiological Health
Office of Product Evaluation and Quality
Center for Devices and Radiological Health
Enclosure
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DEPARTMENT OF HEALTH AND HUMAN SERVICES
Food and Drug Administration
Form Approved: OMB No. 0910-0120
Expiration Date: 07/31/2026
See PRA Statement below.
# Indications for Use
510(k) Number (if known)
K253560
Device Name
Enhanced Boundary for PCCT
Indications for Use (Describe)
Enhanced Boundary for PCCT is a deep learning-based CT processing method used for improved soft tissue delineation in routine head exams with and without contrast. Enhanced Boundary for PCCT may be used for patients of all ages.
Type of Use (Select one or both, as applicable)
☑ Prescription Use (Part 21 CFR 801 Subpart D)
☐ 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:
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"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."
FORM FDA 3881 (8/23)
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PSC Publishing Services (301) 443-6740 EF
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K253560
GE HealthCare
510(k) Premarket Notification Submission for Enhanced Boundary for PCCT
# **510(k) SUMMARY OF SAFETY AND EFFECTIVENESS**
This 510(k) summary of Safety and Effectiveness information is submitted in accordance with the requirement of 21 CFR Part 807.87(h):
**Date:** November 14, 2025
**Submitter:** GE Medical Systems, LLC
3000 N. Grandview Blvd.
Waukesha, Wisconsin 53188
**Primary Contact:** Veronica Aguayo
Regulatory Affairs Leader
Phone: 1 (414) 217-4331
Email: Veronica.Aguayo@gehealthcare.com
**Secondary Contacts:** John Jaeckle
Chief Regulatory Affairs Strategist
Phone: 1 (262) 424-9547
Email: John.Jaeckle@gehealthcare.com.
Laura Turner
Regulatory Affairs Manager
Phone: 1 (262) 200-1044
Email: Laura.Turner@gehealthcare.com.
**Device Trade Name:** Enhanced Boundary for PCCT
**Device Classification** Class II
**Regulation Number/ Product Code:** 21 CFR 892.1750 Computed tomography x-ray system / JAK
# **Predicate Device Information**
**Device Name:** Revolution Apex
**Manufacturer:** GE Medical Systems, LLC
**510(k) Number:** K213715
**Regulation Number/ Product Code:** 21 CFR 892.1750 Computed tomography x-ray system / JAK
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GE HealthCare
510(k) Premarket Notification Submission for Enhanced Boundary for PCCT
### **Device Description**
Routine brain imaging is one of the most challenging CT applications due to the low contrast between gray and white matter, which typically results in viewing images with a narrow window width. When images are viewed in a narrow window width, the noise variations and artifacts in the image become more obvious. Since routine brain scanning is a frequent use case for CT, and it is a challenging application, there is a desire to develop specific applications aimed at further improving the visualization between gray and white matter in the brain.
Enhanced Boundary for Photon Counting CT (PCCT) is an optional, user selectable, deep learning-based processing algorithm trained to enhance soft tissue boundaries in routine head exams obtained using Photonova Spectra systems. Enhanced Boundary for PCCT has three strengths that the user can choose depending on enhancement preferences. This feature aims to enhance CT images of the brain, specifically at the borders of three main brain components – gray matter, white matter, and cerebrospinal fluid (CSF). The benefits provided by this enhancement include improved boundary delineation (reduced blurring at the brain tissue boundaries) and improved CT number stability.
### **Intended Use**
Enhanced Boundary for PCCT is a deep learning-based CT processing method intended for head imaging.
### **Indications for Use**
Enhanced Boundary for PCCT is a deep learning-based CT processing method used for improved soft tissue delineation in routine head exams with and without contrast. Enhanced Boundary for PCCT may be used for patients of all ages.
### **Technological Characteristics**
Since the Enhanced Boundary for PCCT option is deployed within Photonova Spectra acquisition and processing software, it utilizes the same hardware and software platform to process images. The table below summarizes the substantive feature/technological differences between the predicate device, host system, and the proposed device. The changes described below do not change the fundamental technology of the predicate device or host system and do not raise any new questions of safety and effectiveness.
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GE HealthCare
510(k) Premarket Notification Submission for Enhanced Boundary for PCCT
| Specification | Predicate Device Revolution Apex (K213715) | Host System Photonova Spectra (K253520) | Proposed Device Enhanced Boundary for PCCT (on Photonova Spectra) |
| --- | --- | --- | --- |
| Patient Population | Patients of all ages | Patients of all ages | Patients of all ages |
| Supported kVps | 70, 80, 100, 120, 140 kVp | 120 kVp only | 120 kVp only |
| Reconstruction Matrix Available for Routine Neuro Soft Tissue | 512 x 512 | 512 x 512 | 512 x 512 |
| Hardware | Revolution Apex System including CT Gantry, Patient Table, Acquisition, and operator console computer. | Photonova Spectra System including CT Gantry, Patient Table, Acquisition, and operator console computer. | Enhanced Boundary for PCCT is a software only option implemented into the operator console computer for host system Photonova Spectra. |
| Image Reconstruction Algorithms | FBP ASiR-V DLIR GSI-DLIR | FBP with True Fidelity DL for PCCT | Enhanced Boundary for PCCT is a CT processing algorithm incorporated into the Photonova Spectra image reconstruction process. |
| Clinical Workflow | The Revolution Apex User Interface allows for modifications of image reconstruction settings based on users desired image display and workflow set up. | The Photonova Spectra User Interface allows for modifications of image reconstruction settings based on users desired image display and workflow set up. | When the Enhanced Boundary for PCCT option is enabled, it integrates into the same workflow and User Interface as the host system Photonova Spectra. |
| Neuro CT Enhancement Algorithms | Enhanced Boundary (EB1-3) Enhanced Contrast (EC1-3) | No algorithms specifically for neuro CT enhancement. | Enhanced Boundary for PCCT (EB1-3) |
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GE HealthCare
510(k) Premarket Notification Submission for Enhanced Boundary for PCCT
### **Determination of Substantial Equivalence**
Enhanced Boundary for PCCT has successfully completed the design control testing per GE HealthCare's quality system. No additional hazards were identified, and no unexpected test results were observed. Enhanced Boundary for PCCT was designed under GE HealthCare's QMS per the Quality System Regulations of 21CFR 820 and ISO 13485. GEHC believes that the successfully completed design verification & validation, as well as the extensive bench testing is sufficient for FDA's substantial equivalence determination.
The following quality assurance measures have been applied to the development of the system:
- • Requirement Definition
- • Risk Analysis and Control
- • Technical Design Reviews
- • Formal Design Reviews
- • Software Development Lifecycle
- ○ Code Review
- ○ Software Unit Implementation
- ○ Software Integrations and Integration Testing
- • System Testing
- ○ Safety Testing (Verification)
- ○ Image Performance Testing (Verification)
- ○ Simulating Use Testing (Validation)
- • Software Release
The testing and results did not raise different questions of safety and effectiveness than associated with predicate device.
### **Summary of Non-Clinical Testing**
A range of bench testing on phantoms and clinical images were performed to measure the performance of Enhanced Boundary for PCCT. The tests include well established industry-standard IQ metrics and claims substantiation tests to demonstrate overall image quality and support substantial equivalence of the algorithm on the Photonova Spectra scanner's traditional metrics.
The result of the bench testing showed that Enhanced Boundary for PCCT can reduce blurring between gray matter, white matter, and cerebrospinal fluid without significantly changing their CT number and the algorithm does not significantly increase the image noise, in comparison with a sharper reconstruction kernel.
### **Summary of Clinical Testing**
The clinical testing was carried out in the form of a reader study of sample clinical data processed using Enhanced Boundary for PCCT software. The images were evaluated by US board-certified radiologists.
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GE HealthCare
510(k) Premarket Notification Submission for Enhanced Boundary for PCCT
Additionally, clinical testing included reader assessment of hallucination risks across a range of challenging head CT cases, with results demonstrating that Enhanced Boundary for PCCT preserves anatomical correctness and diagnostic interpretability even under challenging clinical conditions. There were no findings of hallucinations.
The result of this reader study validated that Enhanced Boundary for PCCT provides diagnostic value by improving delineation of the boundaries in routine head exams with and without contrast and improves confidence in the assessment of soft tissue structures in the brain.
### **Substantial Equivalence**
Enhanced Boundary for PCCT was developed under GEHC’s quality system. Design verification, along with bench testing and the clinical reader study provided in this submission demonstrates that Enhanced Boundary for PCCT is substantially equivalent and hence as safe and as effective as the predicate and host devices. GEHC’s quality system’s design, verification, and risk management processes did not identify any new questions of safety or effectiveness, hazards, unexpected results, or adverse effects stemming from the changes to the host system. GE HealthCare believes that Enhanced Boundary for PCCT is substantially equivalent to the predicate and host devices and hence is safe and effective for its intended use.
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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.