K203617 · Ge Medical Systems, LLC · JAK · Mar 2, 2021 · Radiology
Device Facts
Record ID
K203617
Device Name
MaxFOV 2
Applicant
Ge Medical Systems, LLC
Product Code
JAK · Radiology
Decision Date
Mar 2, 2021
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
Extended Field of View CT Image Reconstruction
CNN
—
—
—
—
Clinical reader study: 49 CT exams
5 (clinical readers)
Indications for Use
The deep learning based Max Field-of-View (MaxFOV 2) is a CT image reconstruction method intended to produce images of the head and whole-body using Axial, Helical, and Cine acquisitions. MaxFOV 2 is designed to extend the nominal display field of view (DFoV) for cases where patient size and positioning requirements result in a portion of the patient's body to be outside of the nominal DFoV. These extended FoV images are intended for use in radiation therapy planning and are clinically useful for the simulation and planning of radiation therapy for the treatment of cancer for patients. They can also be used for visualization of patient anatomy for cases not involving therapy planning. MaxFOV 2 is intended for patients of all ages, especially bariatric patients.
Device Story
MaxFOV 2 is a deep learning-based CT image reconstruction software option for GE CT scanners. It extends the display field of view (DFOV) beyond the physical scan field of view (SFOV) of 50cm up to 80cm. Input consists of raw CT sinogram data; the device uses a Convolutional Neural Network (CNN) to reconstruct and visualize tissue truncated due to large patient habitus or off-center positioning. Operated by dosimetrists, medical physicists, or radiation oncologists in clinical settings, the output is an extended-FOV CT image. These images assist clinicians in radiation therapy planning and anatomical visualization. By accurately depicting skin lines and tissue densities outside the SFOV, the device improves planning accuracy for bariatric patients and others whose anatomy exceeds standard scanner limits.
Clinical Evidence
Clinical reader study of 49 CT exams across multiple GE platforms. Five external clinical readers evaluated images using a 5-point Likert scale for skin surface depiction, tissue density in the extended FOV, and overall image quality. Results supported substantial equivalence and performance claims.
Technological Characteristics
Software-based reconstruction option for GE CT scanners (70-80cm bore sizes). Employs a CNN-based deep learning algorithm for image reconstruction. Compatible with Axial, Helical, and Cine scan modes. Developed under ISO 13485 and IEC 62304 standards. Does not alter CT scanner hardware, energy type, or control mechanisms.
Indications for Use
Indicated for patients of all ages, including bariatric patients, requiring head and whole-body CT imaging (Axial, Helical, Cine) where patient size or positioning results in anatomy outside the nominal scan field of view (SFOV). Used for radiation therapy planning and general anatomical visualization.
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.
{0}------------------------------------------------
Image /page/0/Picture/10 description: The image shows the logo of the U.S. Food and Drug Administration (FDA). The logo consists of two parts: a symbol on the left and the text "FDA U.S. FOOD & DRUG ADMINISTRATION" on the right. The symbol on the left is a stylized eagle, and the text on the right is in blue. The words "U.S. FOOD & DRUG" are in a larger font size than the word "ADMINISTRATION".
GE Medical Systems, LLC. % Ms. Amy Yang Regulatory Affairs Manager 3000 N Grandview Blvd WAUKESHA WI 53188
March 2, 2021
Re: K203617
Trade/Device Name: MaxFOV 2 Regulation Number: 21 CFR 892.1750 Regulation Name: Computed tomography x-ray system Regulatory Class: Class II Product Code: JAK Dated: December 9, 2020 Received: December 11, 2020
Dear Ms. Yang:
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. 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 located at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmp/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.
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) for devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see
{1}------------------------------------------------
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 4, Subpart A) for combination products; 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 https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-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/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,
For
Thalia T. Mills, Ph.D. Director Division of Radiological Health OHT7: Office of In Vitro Diagnostics and Radiological Health Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
{2}------------------------------------------------
# Indications for Use
510(k) Number (if known)
#### K203617
Device Name MaxFOV 2
Indications for Use (Describe)
The deep learning based Max Field-of-View (MaxFOV 2) is a CT image reconstruction method intended to produce images of the head and whole-body using Axial, and Cine acquisitions.
MaxFOV 2 is designed to extend the nominal display field of view (DFoV) for cases where patient size and positioning requirements result in a portion of the patient's body to be outside of the nominal DFoV.
These extended FoV images are intended for use in radiation therapy planning and are clinically useful for the simulation and planning of radiation therapy for the treatment of cancer for patients. They can also be used for visualization of patient anatomy for cases not involving therapy planning. MaxFOV 2 is intended for patients of all ages, especially bariatric patients.
| Type of Use (Select one or both, as applicable) |
|-------------------------------------------------|
|-------------------------------------------------|
X 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:
> 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/1 description: The image shows the General Electric (GE) logo. The logo consists of the letters 'GE' intertwined in a stylized script, enclosed within a blue circle. There are three white flourishes or droplets evenly spaced around the perimeter of the circle, adding a dynamic element to the design.
## 510(k) Summary
In accordance with 21 CFR 807.92 the following summary of information is provided:
| Date: | December 10, 2020 |
|-------------------------------------|--------------------------------------------------------------------------------------------------------|
| Submitter: | GE Medical Systems, LLC<br>3000 North Grandview Blvd<br>Waukesha, WI 53188 |
| Primary Contact: | Amy Yang<br>Regulatory Affairs Manager<br>Phone: 414-514-3904<br>Email: Amy.yang@ge.com |
| Secondary Contacts: | John Jaeckle<br>Chief Regulatory Affairs Engineer<br>Phone: 262-424-9547<br>Email: john.jaeckle@ge.com |
| Device Trade Name: | MaxFOV 2 |
| Device Classification | Class II |
| Regulation Number/<br>Product Code: | 21 CFR 892.1750 Computed tomography x-ray system / JAK |
| Predicate Device Information | |
| Device Name: | LightSpeed Ultra with Wide View Option |
| Manufacturer: | GE Medical Systems, LLC |
| 510(k) Number: | K023332, Cleared on October 23, 2002 |
| Regulation Number/<br>Product Code: | 21 CFR 892.1750 Computed tomography x-ray system / JAK |
| Reference Devices Information | |
| Device Name: | SOMATOM DEFINITION AS OPEN |
Manufacturer: Siemens Medical Systems, Inc. 510(k) Number: K130901 cleared on January 02, 2014 Regulation Number/ 21 CFR 892.1750 Computed tomography x-ray system / JAK
Product Code:
{4}------------------------------------------------
# GE Healthcare 510(k) Premarket Notification Submission
Image /page/4/Picture/1 description: The image shows the logo for General Electric (GE). The logo consists of the letters 'GE' in a stylized, cursive font, enclosed within a blue circle. There are four white, teardrop-shaped elements surrounding the circle, positioned at the cardinal directions. The logo is simple and iconic, representing the long-standing brand identity of General Electric.
### Device Description
The MaxFOV 2 is an enhanced Extended Field of View (EFOV) reconstruction option for GE's CT scanners. The MaxFOV 2 utilizes a new deep learning algorithm to extend the display field of view (DFOV) beyond the CT system's scan field of View (SFOV) of 50cm to up to 80cm depending on the bore size of the CT system. CT scanners use the EFOV reconstruction algorithms to visualize tissue truncated due to large patient habitus and/or off-center patient positioning. Same as the Wide View option on the predicate, the MaxFOV 2 is designed to enable a clinically useful visualization of the skin line and CT Number of human body parts located outside of the SFOV. EFOV images are especially useful for radiation therapy planning and they can also be used for visualization of patient anatomy outside of the SFOV for routine CT imaging. This DL enabled new MaxFOV2 EFOV reconstruction process offers improved performance over the existing WideView option on the predicate device.
The DL MaxFOV2 algorithm was designed and tested for GE's multiple CT scanner platforms of various bore sizes from 70cm to 80cm. These CT systems with the integrated MaxFOV 2 option remain compliant with the same standards as base CT systems.
This option is commercially marketed as MaxFOV2.
### Intended Use
The MaxFOV 2 reconstruction software is intended for head and whole body CT scans.
### Indications for Use
The deep learning based Max Field-of-View (MaxFOV 2) is a CT image reconstruction method intended to produce images of the head and whole-body using Axial, Helical, and Cine acquisitions.
MaxFOV 2 is designed to extend the nominal display field of view (DFoV) for cases where patient size and positioning requirements result in a portion of the patient's body to be outside of the nominal DFoV.
These extended FoV images are intended for use in radiation therapy planning and are clinically useful for the simulation and planning of radiation therapy for the treatment of cancer for patients. They can also be used for visualization of patient anatomy for cases not involving therapy planning. MaxFOV 2 is intended for patients of all ages, especially bariatric patients.
#### Technological Characteristics
The MaxFOV 2 employs the same fundamental technology as that of the WideView on the predicate device. It is used in the same clinical environment and by the same intended users. Use of the MaxFOV2 does not require change in the CT scanner hardware and does not alter the CT system's control mechanism, or energy type or operating principles.
The table below summarizes the substantive feature/technological differences between the predicate device and the proposed device:
{5}------------------------------------------------
Image /page/5/Picture/0 description: The image shows the logo for GE (General Electric). The logo is a blue circle with the letters "GE" in a stylized, cursive font in the center. There are three water droplet shapes surrounding the circle, one on the top, and one on each side. The logo is simple and recognizable, and it is associated with a well-known and established company.
# GE Healthcare 510(k) Premarket Notification Submission
| Specification | Predicate Device | Proposed Device |
|-----------------------------------------|---------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------|
| | Wide View (K023332) | MaxFOV 2 |
| Patient Population | Patients of all ages | Same |
| Intended users | Dosimetrist<br>Medical Physicists<br>Radiation Oncologists | Same |
| Clinical Use | Routine Clinical Use | Same |
| Targeted clinical condition,<br>anatomy | Part of scanned object is located out of<br>the scan field of view. | Same |
| Compatible Scan modes | Compatible with Axial, Helical, and Cine<br>scan modes. | Same |
| Technology/Principles | Analytical model - classic algorithm where<br>the measured sinogram is expanded to<br>cover a FOV larger than SFOV. | MaxFOV 2 uses a CNN which is trained on<br>multiple CT scanners. MaxFOV 2's<br>reconstruction process (algorithm) contains<br>a Deep Learning based component. |
| Extended Field of View Spec | Allows visualization of up to 65cm | Allows visualization of up to 80cm, same as<br>reference device |
The MaxFOV 2 option has same intended use, indications for use and substantially equivalent technological characteristics as its predicate and reference device. The changes and the different technological characteristics do not raise new or different questions of safety and effectiveness. The software was developed, verified, and validated under GE Healthcare's QMS including software development lifecycle.
## Determination of Substantial Equivalence Summary of Non-Clinical Testing
MaxFOV 2 has successfully completed the design control activities per our quality system that conforms to the Quality System Regulations of 21CFR 820 and ISO 13485, including the Software Development Life Cycle process per IEC62304.
The following quality assurance measures have been applied to the development of the system:
- Risk Analysis
- Required Reviews
- Design Reviews
- . Software Development Lifecycle
- . Testing on unit level (Module verification)
- . Integration testing (System verification)
- . Performance testing (Verification)
- Safety testing (Verification)
- . Simulated use testing (Validation)
{6}------------------------------------------------
# GE Healthcare 510(k) Premarket Notification Submission
Image /page/6/Picture/1 description: The image shows the logo for General Electric (GE). The logo is a blue circle with the letters "GE" in a stylized font in the center. There are decorative swirls around the letters and the outer edge of the circle. The logo is simple and recognizable, and it is associated with a well-known and established company.
A suite of engineering bench testing using phantoms was performed to evaluate image quality performance of MaxFOV 2. These tests include:
- . MaxFOV 2 Patient contour (Skin line) accuracy and CT Number accuracy
- . MaxFOV 2 IQ Performance Evaluation using a very large phantom
- MaxFOV 2 Performance Evaluation Using an anthropomorphic phantom
This set of testing was repeated and performed on different GE CT system platforms, all test results demonstrated MaxFOV 2's consistent and acceptable performance.
The complete testing and results did not raise different questions of safety and effectiveness than associated with predicate device. We consider the proposed device is substantially equivalent to the predicate and reference devices, and hence is safe and effective for its intended use.
### Summary of Clinical Testing
A clinical reader study with 49 CT exams was conducted. The exams were acquired from different GE CT system platforms and were scored by 5 external, clinical readers. The exams represent typical and challenging RTP-relative scenarios where the MaxFOV2 will likely be used. The readers used a 5 point Likert scale to score the images for each of the following aspects: depiction of the patient's skin surface; depicted tissue densities in the extended FOV region; and overall image quality. The results of the study support substantial equivalence and performance claims.
#### Substantial Equivalence
MaxFOV 2 was developed under GE Healthcare's quality system. MaxFOV2's design, verification, validation and risk management processes did not identify any new hazards, unexpected results, or adverse effects stemming from the changes to the predicate.
Software verification & validation, along with bench testing and the clinical reader study demonstrate that MaxFOV 2 is substantially equivalent and hence as safe and as effective as the legally marketed predicate device, hence is safe and effective for its intended use.
The substantial equivalence is also based on the submitted software documentation that is consistent with the appropriate Level of Concern as recommended by pre-market software guidance.
#### Conclusion
Based on development under GE Healthcare's quality system, the successful verification and validation, engineering bench and clinical testing, GE Healthcare believes that MaxFOV 2 is substantially equivalent to the predicate device and hence is safe and effective for its intended use.
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.