For use only in healthy subjects for Measurement of: Estimated: Skeletal Muscle Mass, Extra-Cellular Water (ICW), Total Body Water (ICW), Total Body Water (TBW), ECW/TBW, Body Fat, Percentage of Body Fat (PBF), Body Lean + Dry Lean, Metabolic Rates), Segmental Lean Mass, Segmental Fat Mass, % Segmental Body Fat, Energy Expenditure of Activity, Visceral Fat Area (VFA), Visceral Fat Level, Segmental Body Water, Percent Body Shape Graph, Weight Control, Fat Control, Muscle Control, Segmental ECW/TBW, Segmental ICW, TBW/LBM, Leg Lean Mass, Fitness Score, AC (Arm Circumference) Actual: Weight, Body Mass Index (BMI) and Impedance Values, Height [which can require the entry of Height], Resistance Values [only for InBody S10], Reactance Values [only for InBody770, InBody S10], Phase Angle [only for InBody770, InBody S10]
Device Story
Biospace Body Composition Analyzers (InBody770, 570, S10, 230) are impedance plethysmographs used to estimate body composition. Device applies multi-frequency electrical currents to body via 8-point tactile electrodes; measures impedance, resistance, and reactance. Lean tissue (high water/electrolyte content) conducts current better than fat/bone. Device transforms electrical response data into estimates of body water (ICW, ECW, TBW), skeletal muscle mass, body fat, and metabolic rates. Used in clinical settings by healthcare professionals to manage fat/lean tissue balance. Output provided as numerical values and graphs; assists clinicians in assessing patient body composition and fluid compartmentalization. Benefits include non-invasive, rapid assessment of body composition parameters.
Clinical Evidence
Clinical testing conducted on approximately 80 patients, aged 6 to mid-60s, both genders. Study compared new models (InBody 770, 570, S10, 230) against predicate devices. Results demonstrated excellent correlation with coefficients nearly 1.00 for all four units. Bench testing included electromagnetic safety (IEC 60601-1, IEC 60601-1-2) and software validation.
Technological Characteristics
Impedance plethysmograph using multi-frequency bioelectrical impedance analysis (BIA). Employs 4-pole, 8-point tactile electrode measurement system. Operates at various frequencies (1kHz to 1000kHz depending on model). Measures resistance, reactance, and phase angle. Connectivity and software details not specified beyond general software validation. Power source: AC 100-240V, 50/60Hz. Dimensions and weight vary by model.
Indications for Use
Indicated for healthy subjects, ages 3 to 99, for body composition analysis including measurement of body water, muscle mass, fat mass, and metabolic rates via bioelectrical impedance analysis.
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.
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Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
September 23, 2014
Biospace Corporation Limited % Daniel Kamm Principal Engineer Kamm & Associates 8870 Ravello Ct Naples, FL 34114
Re: K141483
> Trade/Device Name: Biospace Body Composition Analyzers, Model InBody770, InBody570, InBody S10, InBody230 Regulation Number: 21 CFR§ 870.2770 Regulation Name: Impedance plethysmograph Regulatory Class: II Product Code: MNW Dated: August 19, 2014 Received: August 22, 2014
Dear Daniel Kamm,
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. 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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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/ucm115809.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/MedicalDevices/Safety/ReportaProblem/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/ResourcesforYou/Industry/default.htm.
Sincerely yours,
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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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# Indications for Use
510(k) Number (if known) K141483
Device Name
Biospace Body Composition Analyzers, Model InBody770, InBody570, InBody S10, InBody230
Indications for Use (Describe) For use only in healthy subjects for Measurement of:
Estimated: Skeletal Muscle Mass, Extra-Cellular Water (ICW), Total Body Water (ICW), Total Body Water (TBW), ECW/TBW, Body Fat, Percentage of Body Fat (PBF), Body Lean + Dry Lean, Metabolic Rates), Segmental Lean Mass, Segmental Fat Mass, % Segmental Body Fat, Energy Expenditure of Activity, Visceral Fat Area (VFA), Visceral Fat Level, Segmental Body Water, Percent Body Shape Graph, Weight Control, Fat Control, Muscle Control, Segmental ECW/TBW, Segmental ICW, TBW/LBM, Leg Lean Mass, Fitness Score, AC (Arm Circumference)
Actual: Weight, Body Mass Index (BMI) and Impedance Values, Height [which can require the entry of Height], Resistance Values [only for InBody S10], Reactance Values [only for InBody770, InBody S10], Phase Angle [only for InBody770, InBody S10]
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)
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510(k) Summary K141483 Biospace Corporation Limited Donghyun Building, 518-10 Dogok 2 - Dong Gangnam-Gu, Seoul, KOREA 135-854 Tel : +82-2-501-3939, Fax : +82-2-501-3978 Homepage : http://www.inbody.com DATE PREPARED: May 22, 2014 Contact: Kichul Cha, CEO
- 1. Identification of the Devices: Proprietary-Trade Names: Biospace Body Composition Analyzer, Model InBody770 Biospace Body Composition Analyzer, Model InBody570 Biospace Body Composition Analyzer, Model InBody S10 Biospace Body Composition Analyzer, Model InBody230 Classification Names: ANALYZER, BODY COMPOSITION Common/Usual Name: Body fat meter Requlation Description: Impedance plethysmograph. Classification Panel: Cardiovascular Product Code: MNW Regulation Number: 870. 2770 Classification: -
- 2. Equivalent legally marketed devices: (Predicate device Information) Biospace Body Composition Analyzer Model InBody 170, InBody J30 InBody S10, K110689 The Segmental Body Water indication was cleared in K123228, InBody 770, InBody570, InBodyS10, InBody H20.
#### 3. Indications for Use:
For use only in healthy subjects for Measurement of:
Estimated: Skeletal Muscle Mass, Extra-Cellular Water (ECW), Intra-Cellular Water (ICW), Total Body Water (TBW), ECW/TBW, Body Fat, Percentage of Body Fat (PBF), Body Lean + Dry Lean, Metabolic Rates(Basal Metabolic Rates), Segmental Lean Mass, Segmental Fat Mass, % Segmental Body Fat, Energy Expenditure of Activity, Visceral Fat Area (VFA), Visceral Fat Level, Segmental Body Water, Percent Body Water, Body Shape Graph, Weight Control, Fat Control, Muscle Control, Segmental ECW/TBW, Segmental ICW, TBW/LBM, Leg Lean Mass, Fitness Score, AC (Arm Circumference)
Actual: Weight, Body Mass Index (BMI) and Impedance Values, Height [which can require the entry of Height], Resistance Values [only for InBody770, InBody S10], Reactance Values [only for InBody770, InBody S10], Phase Angle [only for InBody770, InBody S10]
- 4. Description: Impedance plethysmographic devices are used to estimate peripheral blood flow by measuring electrical impedance changes in a region of the body such as the arms and legs. Multi-frequency and segmental bioelectrical impedance analysis can estimate the distribution of body water (total body water; intra-cellular water), and can correlate with fluid compartmentalization. Assuming that body lean mass is hydrated in a constant and uniform manner; bioelectrical impedance analysis can be used to estimate body lean mass and fat mass.
These devices are impedance plethysmograph body composition analyzers. These devices
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determine body composition parameters based on bioelectrical impedance analysis (BIA). BIA relies on the differing behavior of biological tissues in response to an applied electrical current. Lean tissue is generally highly conductive because it contains large amounts of bound water and electrolytes, while fat tissue and bone are relatively poor conductors. By analyzing the response to electrical signals, BIA thereby permits differentiation of lean tissue, fat, and water and, in some instances, derivation of related body composition parameters. The total impedance resulting from BIA incorporates both resistance and capacitance components. Impedance plethysmographic devices are used to estimate peripheral blood flow by measuring electrical impedance changes in a region of the body such as the arms and legs. Multi-frequency and segmental bioelectrical impedance analysis can estimate the distribution of body water (total body water; intra-cellular water; extra-cellular water), and can correlate with fluid compartmentalization. Assuming that body lean mass is hydrated in a constant and uniform manner; bioelectrical impedance analysis can be used to estimate body lean mass and fat mass. Body composition analysis results may be of value to health care professionals in their management of the relative balance and levels of fat and lean tissue
- 5. Safety and Effectiveness, comparison to predicate device. The results of bench, safety, and software testing indicates that the new devices are as safe and effective as the predicate device.
| Devices | | InBody 170 | InBody J30 | InBody S10 | InBody 770 (new) | InBody 570 (new) | InBody S10 (new) | InBody 230 (new) |
|----------------------------|--------------------------------------------------------|----------------------------------------------------------------------------------|----------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------|----------------------------------------------------------------------------------|
| 510(k) number | | K110689 | K110689 | K110689 | New | New | New | New |
| Manufact-urer | | Biospace | Biospace | Biospace | Biospace | Biospace | Biospace | Biospace |
| Measurement of Estimated | Extra-Cellular Water (ECW) | √ | √ | √ | √ | √ | √ | √ |
| | Intra-Cellular Water(ICW) | √ | √ | √ | √ | √ | √ | √ |
| | Total Body Water (TBW) | √ | √ | √ | √ | √ | √ | √ |
| | Skeletal Muscle Mass | √ | √ | √ | √ | √ | √ | √ |
| | Body Fat Mass | √ | √ | √ | √ | √ | √ | √ |
| | Lean Body Mass | √ | √ | √ | √ | √ | √ | √ |
| | Dry Lean Mass | √ | √ | √ | √ | √ | √ | √ |
| | Basal Metabolic Rates | √ | √ | √ | √ | √ | √ | √ |
| Devices | | InBody<br>170 | InBody<br>J30 | InBody<br>S10 | InBody<br>770<br>(new) | InBody<br>570<br>(new) | InBody<br>S10<br>(new) | InBody<br>230 (new) |
| | Segmental Lean<br>Mass | √ | √ | √ | √ | √ | √ | √ |
| | ECW/<br>TBW | √ | √ | √ | √ | √ | √ | √ |
| | Segmental Body<br>Fat<br>mass % | √ | √ | √ | √ | √ | √ | √ |
| | Segmental Body<br>Fat | √ | √ | √ | √ | √ | √ | √ |
| | Energy<br>expenditure of<br>activity | √ | √ | √ | √ | √ | √ | √ |
| | Visceral<br>Fat Area | √ | √ | √ | √ | √ | √ | √ |
| | Segmental Body<br>Water | | | √ | √ | √ | √ | |
| Measurement of<br>Actual : | Weight | √ | √ | | √ | √ | | √ |
| | Height | | √ | | | | | |
| | Body<br>Mass<br>Index<br>(BMI) | √ | √ | √ | √ | √ | √ | √ |
| | Impedance<br>Values | 20,<br>100kHz | 5, 50,<br>250kHz | 1, 5, 50,<br>250, 500,<br>1,000kHz | 1, 5, 50,<br>250, 500,<br>1,000kHz | 5, 50,<br>500kHz | 1, 5, 50,<br>250, 500,<br>1,000kHz | 20,<br>100kHz |
| | Reactance<br>Values | | | 5,50,250k<br>Hz | 5,50,250k<br>Hz | | 5,50,250k<br>Hz | |
| | Phase<br>Angle | | | 5,50,250k<br>Hz | 5,50,250k<br>Hz | | 5,50,250k<br>Hz | |
| | Measurement<br>method | Bioelectric<br>al<br>Impedance | Bioelectric<br>al<br>Impedance | Bioelectric<br>al<br>Impedance | Bioelectric<br>al<br>Impedance | Bioelectric<br>al<br>Impedance | Bioelectric<br>al<br>Impedance | Bioelectric<br>al<br>Impedance |
| | Electrode<br>type | 4 electric<br>poles 8<br>points<br>Touch<br>type<br>electrode<br>measure<br>ment | 4 electric<br>poles 8<br>points<br>Touch<br>type<br>electrode<br>measure<br>ment | 4 electric<br>poles 8<br>points<br>Touch<br>type<br>electrode<br>measure<br>ment | 4 electric<br>poles 8<br>points<br>Touch<br>type<br>electrode<br>measure<br>ment | 4 electric<br>poles 8<br>points<br>Touch<br>type<br>electrode<br>measure<br>ment | 4 electric<br>poles 8<br>points<br>Touch<br>type<br>electrode<br>measure<br>ment | 4 electric<br>poles 8<br>points<br>Touch<br>type<br>electrode<br>measure<br>ment |
| Devices | InBody<br>170 | InBody<br>J30 | InBody<br>S10 | InBody<br>770<br>(new) | InBody<br>570<br>(new) | InBody<br>S10<br>(new) | InBody<br>230 (new) | |
| | Input<br>power: AC<br>100-<br>120/200-<br>240V, | Input<br>power: AC<br>100-<br>120/200-<br>240V, | Input<br>power: AC<br>100-<br>120/200-<br>240V, | Input<br>power: AC<br>100-<br>120/200-<br>240V, | Input<br>power: AC<br>100-<br>120/200-<br>240V, | 100-<br>240V~,<br>50/60Hz | Input<br>power: AC<br>100-<br>120/200-<br>240V, | |
| Power Source | 50/60Hz,<br>1.2A<br>Output<br>power:<br>DC12V,<br>3.4A | 50/60Hz,<br>1.2A<br>Output<br>power:<br>DC12V,<br>3.4A | 50/60Hz,<br>1.2A<br>Output<br>power:<br>DC12V,<br>3.4A | 50/60Hz,<br>1.2A<br>Output<br>power:<br>DC12V,<br>3.4A | 50/60Hz,<br>1.2A<br>Output<br>power:<br>DC12V,<br>3.4A | No<br>adapter | 50/60Hz,<br>1.2A<br>Output<br>power:<br>DC12V.<br>3.5A | |
| Equipment weight | 14.3kg | 29kg | 2kg | 5.7kg | 20 kg | 45kg | 26kg | |
| Equipment size | 396(W)<br>×<br>608(L)<br>×<br>955(H)<br>mm | 360(W)<br>×<br>640(L)<br>×<br>2235(H)<br>mm | 202(W)<br>×<br>322(L)<br>×<br>53(H):<br>mm | 393(W)<br>×<br>516(L)<br>×<br>732(H)<br>mm | 460(W)<br>×<br>677(L)<br>×<br>1020(H):<br>mm | 520(W)<br>×<br>870(L)<br>×<br>1200(H):<br>mm | 522 (W) ×<br>843(L) ×<br>1015(H)<br>:<br>mm | |
| Measurement<br>time | 30<br>seconds | 30<br>seconds | 110<br>seconds | Weight<br>measure<br>ment 3~5<br>seconds,<br>Impedanc<br>e<br>measure<br>ment 5~7<br>seconds. | 45<br>seconds | Less than<br>1 minute<br>for<br>medical<br>mode(Les<br>s than 2<br>minutes<br>for<br>research<br>purpose<br>mode) | 50<br>seconds | |
| Measurement<br>age | From age<br>3 ~ age 99 | From age<br>3 ~ age 99 | From age<br>3 ~ age 99 | From age<br>3 ~ age 99 | From age<br>3 ~ age 99 | From age<br>3 ~ age 99 | From age<br>3 ~ age 99 | |
| Measurement weight | 10<br>~<br>250kg | 10<br>~<br>250kg | 10<br>~<br>250kg | 5 ~ 250kg | 10<br>~<br>250kg | 10<br>~<br>250kg | 10<br>~<br>250kg | |
#### 6. Comparison table
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- Discussion of Non-Clinical Testing: Electromagnetic and Safety Testing was conducted 7. to IEC 60601-1 and IEC 60601-1-2. Software validation was conducted. Literature was compiled and reviewed.
- 8. Discussion of Clinical Testing: We conducted clinical testing on each model and compared the results to a predicate. Approximately 80 patients aged 6 to mid 60's, both males and females, were tested. The correlation coefficients for all four new units were very nearly 1.00 showing excellent correlation.
- 9. Conclusion: As compared to our predicate devices (our own brand) these new models have very similar technological characteristics and performed comparably to our predicates. The same scientific principles are used to produce the measurements. We therefore conclude that our new models are substantially equivalent to our predicate previously cleared. The new devices are therefore substantially equivalent to our predicates.
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.