Comparative performance study: 70 participants (50 adults and 20 children)
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Total body water percentage
Multiple regression algorithms
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Comparative performance study: 70 participants (50 adults and 20 children)
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Bone mass percentage
Multiple regression algorithms
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Comparative performance study: 70 participants (50 adults and 20 children)
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Muscle mass percentage
Multiple regression algorithms
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Comparative performance study: 70 participants (50 adults and 20 children)
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Indications for Use
The Precision One Lifecare and Detecto body fat scales measure weight and use bioelectrical impedance analysis (BIA) technology to estimate and keep a record of body fat percent, total body water percent, bone mass percent, and muscle mass percent. The scales also provide a daily calorie intake recommendation and a fitness assessment. The scales are intended for use in the home/domestic setting only. Estimated body fat percent is intended for use on individuals 7-17 years old (Healthy Children) and 18-80 years old (Healthy Adults). Estimated body water percent, estimated muscle mass percent, estimated bone mass percent, and calorie intake are intended for use on individuals 18-80 years old. Children under 7 years old and adults over 80 years old can use the scales for normal weighing mode only. The scales are not intended for diagnosis.
Device Story
Body fat scales utilize foot-to-foot bioelectrical impedance analysis (BIA) to estimate body composition. Device inputs include user-entered personal data (age, height, gender, weight) and electrical impedance measurements (current, voltage, phase angle) captured via stainless steel electrodes on the platform. A 90μA current is passed through the user's feet. An internal MCU processes these inputs using published regression algorithms to calculate body fat, water, muscle, and bone percentages, plus daily calorie recommendations. Used in home settings by consumers; output displayed on integrated LCD. Provides fitness assessment and tracking for up to 12 users. Benefits include non-invasive monitoring of body composition trends for health management.
Clinical Evidence
Bench testing only. Comparative performance study conducted with 70 participants (50 adults, 20 children) measuring parameters on both subject and predicate devices to validate algorithm outputs. Electrical safety and EMC testing performed per IEC 60601-1 and IEC 60601-1-2.
Technological Characteristics
Single-frequency (50kHz) BIA analyzer. Materials: glass or stainless steel platform with 2 or 4 stainless steel electrodes. Power: 3V DC (AAA or Li CR2032 batteries). Connectivity: standalone. Software: multiple regression algorithms for body composition prediction. Dimensions/form factor: digital scale with LCD display.
Indications for Use
Indicated for healthy individuals aged 7-17 (body fat only) and 18-80 (body fat, water, muscle, bone, calorie intake) for body composition estimation. Children <7 and adults >80 restricted to weight measurement only. Not for diagnostic use.
Regulatory Classification
Identification
An impedance plethysmograph is a device used to estimate peripheral blood flow by measuring electrical impedance changes in a region of the body such as the arms and legs.
Special Controls
*Classification.* Class II (special controls). The device, when it is a body composition analyzer which is not intended to diagnose or treat any medical condition, is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 870.9.
Predicate Devices
Tanita Model: SC331 - Body Composition Analyzer (K090479)
Submission Summary (Full Text)
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#### Section 5. . 510(k) Summary (21 CFR 807.92)
Date prepared: August 22, 2013
Submitter:
Precision One Lifecare Limited Flat 906, 9/F., Technology Plaza, 29-35 Sha Tsui Road Ysuen Wan, N.T., Hong Kong Contact Person: Jenny Chan Ph: 852 – 2735 5798 Fax: 852-2735 0139 Email: sales@precisionlifecare.com Proprietary name: Precision One Lifecare and Detecto Body Fat scales Common name: Body fat scale Classified name: Body composition analyzer CFR 870.2770 Product code: MNW
Intended use:
The Precision One Lifecare and Detecto body fat scales measure weight and use bioelectrical impedance analysis (BIA) technology to estimate and keep a record of body fat percent, total body water percent, bone mass percent, and muscle mass percent. The scales also provide a daily calorie intake recommendation and a fitness assessment. The scales are intended for use in the home/domestic setting only.
Estimated body fat percent is intended for use on individuals 7-17 years old (Healthy Children) and 18-80 years old (Healthy Adults).
Estimated body water percent, estimated muscle mass percent, estimated bone mass percent, and calorie intake are intended for use on individuals 18-80 years old.
Children under 7 years old and adults over 80 years old can use the scales for normal weighing mode only.
The scales are not intended for diagnosis.
The specific model names and numbers for these scales are: Precision One Lifecare model numbers - 7853, 7840, 7841, 7850, 7851, and 7856. Detecto model numbers - D221, D222, D223, D212, D207, D201, D202, D203, D204, and D205
SEP 26 2013
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#### Substantial equivalence:
The Precision One Lifecare and Detecto Body Fat scales are substantially equivalent to: Tanita Model: SC331 - Body Composition Analyzer (K090479)
#### Models:
Precision One Lifecare
- Removable Remote Glass LCD Digital Body Fat/Body Composition: 7 in 1 Analysis, . Model 7853 (EF932)
- Glass LCD Digital Body Composition: 3 in 1 Analysis, Model 7840, 7841 (EF9621) .
- . LCD Digital Body Fat/Body Composition: 5 in 1 Analysis, Model 7850 (EF151)
- Glass LCD Digital Body Fat/Body Composition: 7 in 1 Analysis, Model 7851 (EF941) .
- Stainless Steel LCD Digital Body Fat/Body Composition: 5 in 1 Analysis, Model 7856 . (EF432)
Detecto
- . Glass LCD Digital Body Composition: 6 in 1 Analysis, Models D221 (EF971), D222 (EF972), D223 (EF973)
- Glass LCD Digital Body Composition: 6 in 1 Analysis, Model D212 (EF962) .
- . Wide Body Glass LCD Digital Body Fat/Body Composition: 7 in 1 Analysis, Model D207 (EF934)
- LCD Digital Body Fat/Body Composition: 7 in 1 Analysis, Model D201 (EF921/H) .
- Heavy Duty Glass LCD Digital Body Fat/Body Composition: 7 in 1 Analysis, Model . D202 (EF541)
- . Glass LCD Digital Body Fat/Body Composition: 5 in 1 Analysis, Model D203 (EF906)
- . Stainless Steel Body Composition: 5 in 1 Analysis, Model D204 (EF432)
- Wide Body Glass LCD Digital Body Fat/Body Composition: 7 in 1 Analysis, Model . D205 (EF922)
#### Device description
The following device description pertains to all models.
- The Body Fat scales use BIA (Bio Impedance Analysis) technology which passes an . electrical current through the body to estimate body fat percent, muscle percent, body water percent, and bone percent. The electrical current is small and may not be felt. Contact with the body is made via glass and stainless steel pads on the platform of the analyzer.
- . The devices are single frequency electrical bio-impedance analyzer. All models measure current, voltage and phase angle, calculate impedance, resistance and reactance. These measurements and calculations are used to estimate the body composition of: body fat percent, body water percent, muscle mass percent, bone mass percent, daily calories intake recommendation, and provides a fitness assessment. All models have a bi-polar set of contact electrodes which are attached to stainless steel pads on the platform of the analyzer.
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- The scales can store the personal data of up to 12 users. As well as being an analyzer, . these devices can be used as a conventional scale. The models have one operating mode: Algorithm Mode.
- . Algorithm Mode; Displays estimates of body fat percent and body water percent. The devices compute these values using accepted reviewed published algorithms tailored to the candidate types: general population of the accepted age ranges of adult or children.
- The devices consist of a main unit having a glass or stainless steel platform for the . user to step on. On the platform, 2 stainless steel electrodes are mounted which are connected to the electronics circuitry with the analyzing MCU. When the user steps on the electrodes (1 for each foot) a small current of about 90μA will pass through the user body through the 2 feet to complete the close circuitry in order for the analyzer to measure and capture the electrical data change in terms of Bio electrical impedance, resistance, reactance, taking into account other parameters as to personal data of Age, Height, Gender, and Weight.
Summary of technological characteristics compared to predicate devices The Body Fat scales and Tanita Model SC331 (K090479) are intended for use to measure weight, bioelectrical impedance, and estimate body composition (fat, muscle, bone and water) by BIA in a healthy individual.
The technology underlying BIA estimation for the Body Fat scales and Tanita Model SC-331 (K090479) is the same. Design considerations - software design, with LCD visual display, use of multiple regression algorithms to predict body composition based upon body weight, bioelectrical impedance measurements, energy source consideration, multi-polar surface electrodes, electrical current in 5 - to 50 kilohertz range at levels of 90 microamperes to 250 microamperes - are the same.
Comparison of these intended and technological characteristics demonstrate that Body Fat scales are substantially equivalent to the predicate device.
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| | Subject Device: | Predicate Device: |
|--------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| | Body Fat scales | Tanita Body Composition |
| Feature | | Analyser Model: SC-331 |
| 510(k) Number | | K090479 |
| Sponsor | Precision One Lifecare., Ltd. | Tanita Corporation |
| Weighing Technology | Strained Gauge Load Cell | Stained Gauge Load Cell |
| Weight Capacity | 150 kg / 330 lb<br>180 kg / 400 lb<br>200 kg / 440 lb | 270 kg / 600 lb |
| Device Description | Utilizes a "foot-to-foot"<br>bioelectrical impedance<br>analysis (BIA) technology to<br>determine internal body<br>composition. | Utilizes a "foot-to-foot"<br>bioelectrical impedance (BIA)<br>technology to determine<br>internal body composition. |
| Analysis Method | BIA<br>(Bioelectrical Impedance<br>Analysis) | BIA<br>(Bioelectrical Impedance<br>Analysis) |
| BMI Measurement | NA | Yes |
| Input Item: | | |
| Age Range | 7 - 99 years (1 yr increment | 5- 99 years (1 year Increment) |
| Gender | Male & Female | Male & Female |
| Height Range | 100-250 cm / 3.03 ft-7 ft<br>11.5" | 90 - 249.9 cm / 3 ft - 7 ft<br>11.5" |
| Operating Frequency Range | 50KHz | 50KHz |
| Power Source | 2*AAA (3 Volt DC)<br>1 or 2 Li CR2032 batteries (3<br>Volt DC) | AC - DC adaptor of<br>Input 100-240Vac 50/60 hz,<br>1.5 A converted to 7Volt DC<br>output to the device |
| Measuring current (A) | 90μA | 90μA |
| Contact Electrodes | Bi-polar | Tetra-polar |
| Measuring Impedance Range | 150 – 1200 Ω | 150 – 1200 Ω |
| Operating Keys | 3 or 4 keys<br>1 key: Setting & real time<br>clock<br>1 key: Alarm on/setting,<br>upward increase scrolling.<br>1 key: Weight Mode,<br>downward decrease scrolling<br>1 key: Memory recall<br>comparison mode. Start<br>mode for measuring Body<br>Composition. | 1 key for printer<br>1 key for clothing weight.<br>1 key for mode selection<br>between Body Composition &<br>Weight Only.<br>1 key for selection of lb or kg<br>1 key for setting date/time to<br>printer.<br>4 keys for setting Body Type:<br>Standard, Athlete, Male,<br>Female.<br>11 keys for numeric input<br>1 key for clear / cancel<br>Total 21 keys |
| Measuring/Weighing<br>Platform | Glass | Plastic |
| Number of Electrodes | 2 or 4 | 4 |
The following table provides a comparison of features to the predicate.
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#### Testing
The Body Fat Scales were tested by an independent laboratory for compliance to the requirements of IEC 60601-1 (electrical safety) and IEC 60601-1-2 (EMC). Test results showed compliance.
The performance of Body Fat Scales was compared to the performance of the predicate device through testing conducted by the sponsor. This testing consisted of 70 participants (50 adults and 20 children) standing on both the predicate scale and a Body Fat scale to obtain measureable parameters which are also used for algorithm calculations. This testing showed the two scales provide substantially equivalent results.
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Image /page/5/Picture/0 description: The image shows the logo for the Department of Health & Human Services - USA. The logo consists of a circular seal with the text "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" arranged around the perimeter. Inside the circle is an abstract symbol resembling an eagle or bird in flight, composed of three curved lines.
#### DEPARTMENT OF HEALTH & HUMAN SERVICES
Public Health Service
Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
September 26, 2013
Precision One Lifecare, Ltd. % Steven Chernoff Vice President Drug & Device Development Co., Inc. P.O. Box 3515 Redmond. WA 98073
Re: K130952
Trade/Device Name: Precision One Lifecare and Detecto Body Fat scales Regulation Number: 21 CFR§ 870.2770 Regulation Name: Impedance plethysmograph Regulatory Class: II Product Code: MNW Dated: August 22, 2013 Received: August 26, 2013
Dear Steven Chernoff,
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 10 devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies.
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Page 2 - Steven Chernoff
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 803); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820); and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please go to http://www.fda.gov/AboutFDA/CentersOffices/CDRH/CDRHOffices/ucm 1 5809.htm for the Center for Devices and Radiological Health's (CDRH's) Office of Compliance. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803). please go to
http://www.fda.gov/Medicall.ovices/Safety/ReportalProblem/default.htm for the CDRH's Office of Surveillance and Biometrics/Division of Postmarket Surveillance.
You may obtain other general information on your responsibilities under the Act from the Division of Small Manufacturers, International and Consumer Assistance at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/Resourcesfor You/Industry/default.htm.
Sincercly yours.
## Herbert P. Lerner -S
Acting for: Benjamin R. Fisher, Ph.D. . Director Division of Reproductive, Gastro-Renal, and Urological Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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#### Section 4 - Indications for Use Statement
#### Indications for Use
510(k) Number (if known):
Device Name: Precision One Lifecare and Detecto Body Fat scales
#### Indications for Use
The Precision One Lifecare and Detecto Body Fat scales measure weight and use bioelectrical impedance analysis (BLA) technology to estimate and keep a record of body fat percent, total body water percent, bone mass percent, and muscle mass percent. The scales also provide a daily calorie intake recommendation and a fitness assessment. The scales are intended for use in the home/domestic setting only.
Estimated body fat percent is intended for use on individuals 7-17 years old (Healthy Children) and 18-80 years old (Healthy Adults). Estimated body water percent, estimated muscle mass percent, estimated bone mass percent, and calorie intake are intended for use on individuals 18-80 years old.
Children under 7 years old and adults over 80 years old can use the scales for normal weighing mode only. The scales are not intended for diagnosis.
The specific model names and numbers for these scales are: Precision One Lifecare model numbers - 7853, 7840, 7841, 7850, 7851, and 7856. Detecto model numbers - D221, D222, D223, D212, D207, D201, D202, D203, D204, and D205
| Prescription Use |
|-----------------------------|
| (Part 21 CFR 801 Subpart D) |
Over-The-Counter Use AND/OR ਮ (Part 21 CFR 801 Subpart C)
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE)
# Herbert P. Lerner -S
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.