K252919 · Varian Medical Systems, Inc. · IYE · Dec 16, 2025 · Radiology
Device Facts
Record ID
K252919
Device Name
IDENTIFY (5.0)
Applicant
Varian Medical Systems, Inc.
Product Code
IYE · Radiology
Decision Date
Dec 16, 2025
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.5050
Device Class
Class 2
Indications for Use
IDENTIFY is intended for patient motion monitoring, including monitoring of respiratory patterns. It can be used during radiotherapy treatment simulation and delivery and allows for data output to radiotherapy devices to synchronize image acquisition or treatment delivery with the acquired motion information.
Device Story
IDENTIFY 5.0 uses surface guidance technology (SGRT) to monitor patient motion during radiotherapy. System components include surface guidance cameras, wall-mounted display, and visual coaching device. Input consists of patient surface data captured by cameras; system transforms this into motion information, including respiratory patterns. Output is sent to radiotherapy devices (e.g., Ethos, Halcyon) to synchronize image acquisition or treatment delivery. Used in clinical radiotherapy settings by radiation therapists. New features in 5.0 include automated reference surface capture at start of CBCT, automated MV/kV beam-hold, couch shift transmission, and auto-alignment of reference surface with couch movements. These features enable synchronization of beam delivery with patient motion, potentially improving treatment accuracy and safety by pausing delivery if motion exceeds defined thresholds.
Clinical Evidence
No clinical or animal studies were conducted. Evidence consists of bench testing, including electrical safety (IEC 60601-1), EMC (IEC 60601-1-2), and formal hardware/software verification and validation. Usability testing with radiation therapists confirmed workflow integration and task completion without critical errors. Performance testing verified accuracy of patient positioning, motion monitoring, and respiratory pattern detection under simulated clinical conditions.
Technological Characteristics
Surface guidance technology (SGRT) using cameras for motion tracking. System includes wall-mounted display and visual coaching device. Connectivity via Auxiliary Device Interface (ADI+) to Varian linacs (Ethos, Halcyon). Software-based motion monitoring and beam-hold control. Non-sterile. Complies with IEC 60601-1, IEC 60601-1-2, IEC 62304, and ISO 14971.
Indications for Use
Indicated for adult patients undergoing radiotherapy treatment simulation and/or delivery. Indicated for positioning of patients, and for monitoring patient motion including respiratory patterns. Allows for data output to radiotherapy devices to synchronize image acquisition or treatment delivery with the acquired motion information.
Regulatory Classification
Identification
A medical charged-particle radiation therapy system is a device that produces by acceleration high energy charged particles (e.g., electrons and protons) intended for use in radiation therapy. This generic type of device may include signal analysis and display equipment, patient and equipment supports, treatment planning computer programs, component parts, and accessories.
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FDA U.S. FOOD & DRUG ADMINISTRATION
December 16, 2025
Varian Medical Systems, Inc.
Lynn Allman
Senior Director, Regulatory Affairs
3100 Hansen Way
Palo Alto, California 94304
Re: K252919
Trade/Device Name: Identify (5.0)
Regulation Number: 21 CFR 892.5050
Regulation Name: Medical Charged-Particle Radiation Therapy System
Regulatory Class: Class II
Product Code: IYE
Dated: September 12, 2025
Received: September 12, 2025
Dear Lynn Allman:
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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K252919 - Lynn Allman
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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 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.
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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K252919 - Lynn Allman
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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,

Lora D. Weidner, Ph.D.
Assistant Director
Radiation Therapy Team
DHT8C: Division of Radiological
Imaging and Radiation Therapy Devices
OHT8: Office of Radiological Health
Office of Product Evaluation and Quality
Center for Devices and Radiological Health
Enclosure
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| 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. | K252919 | ? |
| Please provide the device trade name(s). | | ? |
| IDENTIFY (5.0) | | |
| Please provide your Indications for Use below. | | ? |
| IDENTIFY is indicated for adult patients undergoing radiotherapy treatment simulation and/or delivery. IDENTIFY is indicated for positioning of patients, and for monitoring patient motion including respiratory patterns. It allows for data output to radiotherapy devices to synchronize image acquisition or treatment delivery with the acquired motion information. | | |
| 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) | ? |
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varian
A Siemens Healthineers Company
# 510(k) Summary K252919
# IDENTIFY 5.0
## I. Submitter's Name
Varian Medical Systems
3100 Hansen Way
Palo Alto, CA 94304
Contact Name: Lynn Allman, PhD., Senior Director Regulatory Affairs
Phone: (650) 424-5369
E-mail: submissions.support@varian.com
Date Prepared: 12 September 2025
## II. Device Information
Proprietary Name: IDENTIFY (5.0)
Regulation Number: 21 CFR §892.5050
Classification Name: Accelerator, linear, medical
Product Code: IYE
Common Name: Patient identification & positioning/tracking system
## III. Predicate Device
Proprietary Name: IDENTIFY 4.0 (K242957)
Regulation Number: 21 CFR §892.5050
Classification Name: Accelerator, linear, medical
Product Code: IYE
Common Name: Patient identification & positioning/tracking system
## IV. Device Description
IDENTIFY uses surface guidance technology to monitor patient motion during radiotherapy treatment simulation and delivery. Its high precision SGRT cameras support:
- Positioning of the patient for treatment delivery
- Monitoring of the patient position during treatment delivery
- Respiratory motion management during simulation and treatment delivery
510(k) Summary
Traditional 510(k) Application
IDENTIFY 5.0
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Varian
A Siemens Healthineers Company
Figure 01 depicts the IDENTIFY 5.0 system.

Figure 01: Treatment room variant of IDENTIFY (5.0), depicting subsystem components: 1 a-c) Surface guidance cameras 2) Wall mount display 3) Visual coaching device
## V. Intended Use
IDENTIFY is intended for patient motion monitoring, including monitoring of respiratory patterns. It can be used during radiotherapy treatment simulation and delivery and allows for data output to radiotherapy devices to synchronize image acquisition or treatment delivery with the acquired motion information.
## VI. Indications for Use
IDENTIFY is indicated for adult patients undergoing radiotherapy treatment simulation and/or delivery. IDENTIFY is indicated for positioning of patients, and for monitoring patient motion including respiratory patterns. It allows for data output to radiotherapy devices to synchronize image acquisition or treatment delivery with the acquired motion information.
510(k) Summary
Traditional 510(k) Application
IDENTIFY 5.0
Page 2 of 6
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Varian
A Siemens Healthineers Company
# VII. Comparison of Technological Characteristics with the Predicate Device
Table 1 Comparison of Subject Device to Predicate Device
| FEATURE AND/OR SPECIFICATION OF NEW/MODIFIED DEVICE | PREDICATE DEVICE 510(e) # K242957 IDENTIFY 4.0 | SUBJECT DEVICE IDENTIFY 5.0 | COMPARISON |
| --- | --- | --- | --- |
| Indications for Use | IDENTIFY is indicated for adult patients undergoing radiotherapy treatment simulation and/or delivery. IDENTIFY is indicated for positioning of patients, and for monitoring patient motion including respiratory patterns. It allows for data output to radiotherapy devices to synchronize image acquisition or treatment delivery with the acquired motion information. | IDENTIFY is indicated for adult patients undergoing radiotherapy treatment simulation and/or delivery. IDENTIFY is indicated for positioning of patients, and for monitoring patient motion including respiratory patterns. It allows for data output to radiotherapy devices to synchronize image acquisition or treatment delivery with the acquired motion information. | No change. |
| Intended Use | IDENTIFY is intended for patient motion monitoring, including monitoring of respiratory patterns. It can be used during radiotherapy treatment simulation and delivery and allows for data output to radiotherapy devices to synchronize image acquisition or treatment delivery with the acquired motion information. | IDENTIFY is intended for patient motion monitoring, including monitoring of respiratory patterns. It can be used during radiotherapy treatment simulation and delivery and allows for data output to radiotherapy devices to synchronize image acquisition or treatment delivery with the acquired motion information. | No change. |
| Patient motion monitoring | | | |
| Auto capture of the reference surface at the start of CBCT imaging (for ADI+ connected Varian linacs) | No | Yes | Changed, substantially similar. Enables IDENTIFY to capture a reference surface that represents max inhale, max exhale or mid ventilation of the respiratory cycle. |
| Automated MV beam-hold (for ADI+ connected Varian linacs) | No | Yes | Changed, substantially similar. Enables additional delivery systems (Ethos Radiotherapy |
510(k) Summary
Traditional 510(k) Application
IDENTIFY 5.0
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Varian
A Siemens Healthineers Company
| FEATURE AND/OR SPECIFICATION OF NEW/MODIFIED DEVICE | PREDICATE DEVICE
510(k) # K242557
IDENTIFY 4.0 | SUBJECT DEVICE
IDENTIFY 5.0 | COMPARISON |
| --- | --- | --- | --- |
| | | | System, Halcyon) to synchronize MV beam delivery with motion information from IDENTIFY |
| Send couch shifts to the treatment console (for ADI+ connected Varian linacs) | No | Yes | Changed, substantially similar. Enables the delivery systems (Ethos Radiotherapy System, Halcyon) to receive information for couch position adjustments |
| Auto alignment of the reference surface with couch movements (for ADI+ connected Varian linacs) | No | Yes | Changed, substantially similar. Enables IDENTIFY to adjust the reference surface based on couch position information received by the delivery systems (Ethos Radiotherapy System, Halcyon) |
| Automated kV beam-hold during imaging (for ADI+ connected Varian linacs) | No | Yes | Changed, substantially similar. Enables the delivery systems device to pause kV beam delivery if the motion observed by IDENTIFY exceeds defined thresholds. |
| Compatibility | | | |
| Varian Halcyon, Ethos Radiotherapy System interfaced 5.0 (Concurrent 510(k) submission) | Standalone | Interfaced and Standalone | Changed, substantially similar. |
Note:
ADI+: Auxiliary Device Interface+
510(k) Summary
Traditional 510(k) Application
IDENTIFY 5.0
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Varian
A Siemens Healthineers Company
VIII. Summary of Performance Testing (Non-Clinical Testing)
The following performance data was provided in support of the substantial equivalence determination.
Electrical Safety and Electromagnetic Compatibility (EMC)
IDENTIFY has undergone EMC Testing. The system complies with the IEC 60601-1 standards for safety and the IEC 60601-1-2 standard for EMC.
Product verification and Validation testing
IDENTIFY has undergone formal hardware and software verification and validation testing including usability testing; and it demonstrates the device performs as intended.
Testing was performed according to the FDA Quality System Regulation (21 CFR §820), ISO 13485 Quality Management System Standard, and ISO 14971 Risk Management Standard and the other FDA recognized consensus standards listed in Table 2.
Performance testing evaluated the accuracy of patient positioning, motion monitoring, and respiratory pattern detection under simulated clinical conditions. The system passed positioning accuracy and motion detection to its specifications, and successful synchronization in all test scenarios.
Usability testing was performed with representative clinical users (radiation therapists) to evaluate the ease of use, clarity of instructions, and workflow integration. All users completed the required tasks successfully. No critical errors were observed.
Software Verification and Validation Testing
IDENTIFY has undergone software verification and validation testing and documentation has been provided as recommended by FDA's Guidance for Industry and FDA Staff, "Content of Premarket Submissions for Device Software Functions."
Comprehensive software testing was performed, including unit, integration, and system-level tests, as well as risk-based testing for safety-critical functions. All software functions operated as intended.
The documentation level required for IDENTIFY 5.0 is "Enhanced", as a failure or flaw of the software function(s) could present a hazardous situation with probable risk of death or serious injury, either to a patient, user of the device, or others in the environment of use, as noted in the Level of Concern. The software for this device is considered as a "Major" level of concern, since a failure or latent flaw in the software could directly result in serious injury or death to the patient or operator.
Use of Consensus Standards:
The following list of FDA-recognized, voluntary consensus standards were utilized in the design and evaluation of the subject device's safety and efficacy.
Table 2 List of Consensus Standards
| Standard | | | |
| --- | --- | --- | --- |
| ISO 14971:2019 | ISO 15223-1:2021 | IEC 80001-2-2: 2012 | IEC 60601-1:2005/AMD2:2020 |
| IEC 61217:2011 | IEC 62366-1:2015 +A1:2020 | IEC 80001-1:2021 | IEC 60601-1-2:2014 +A1 2021 |
| ISO 20417:2021 | IEC 62304:2006+A1:2015 | IEC 81001-5-1:2021 | IEC 60601-1-6:2010/AMD2:2020 |
510(k) Summary
Traditional 510(k) Application
IDENTIFY 5.0
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Varian
A Siemens Healthineers Company
## IX. Summary of non-applicable Testing
### Clinical Testing
No animal or clinical studies were conducted.
### Magnetic Resonance Testing (MR)
No MR claims are being made; thus, the MR Safety status of IDENTIFY has not been evaluated.
### Biocompatibility Testing
There are no tissue contacting components in IDENTIFY, therefore biocompatibility evaluation does not apply to this device.
### Cleaning, Disinfection, Sterilization, Reprocessing
IDENTIFY is supplied nonsterile.
## X. Determination of Substantial Equivalence to the Predicate Device
The intended use and indications for use are the same as the predicate device. There is no change to the principle operation of the device. Varian believes the major technological characteristics are substantially equivalent to the predicate device and the differences do not raise new questions of safety and effectiveness. The results of verification and validation as well as conformance to relevant safety standards demonstrate that the device meets the safety and performance criteria. Varian considers IDENTIFY 5.0 to be as safe and effective as the predicate and to perform at least as well as the predicate device (K242957).
510(k) Summary
Traditional 510(k) Application
IDENTIFY 5.0
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.