K180880 · Scientific Analytics, Inc. · LXJ · Mar 7, 2019 · Physical Medicine
Device Facts
Record ID
K180880
Device Name
DARI Health
Applicant
Scientific Analytics, Inc.
Product Code
LXJ · Physical Medicine
Decision Date
Mar 7, 2019
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 890.5360
Device Class
Class 2
Attributes
Software as a Medical Device
Indications for Use
DARI Health is a computer and video system used to quantify and graphically display human movement patterns and techniques for uses such as assessment and training of limb or body motion in pre/post rehabilitation evaluation, physial therapy, and the like.
Device Story
DARI Health is a markerless, 3D human motion capture and analytical software system. It utilizes off-the-shelf video cameras and computer hardware to record patient movement in real-time. The system generates a digital skeleton to identify joint centers and segments for the cervical spine, trunk, and extremities. Data is processed by the DARI Insight Engine—either locally or via a secure cloud-based server—to calculate kinematics and kinetics, including ground reaction forces. Outputs are displayed as raw datasets or graphical reports via a web portal or local application. Used in clinical settings (e.g., physical therapy) by healthcare providers to monitor patient progress and inform clinical decision-making. The system requires no physical contact with the patient and delivers no energy, providing a non-invasive method for biomechanical assessment.
Clinical Evidence
Bench and clinical studies demonstrate equivalence to marker-based systems and force plates. In a study comparing DARI to a marker-based system, no statistically significant differences were found in joint angles (p=0.33). Comparison against force plates showed no significant differences in peak/mean force (p>0.05) with high correlation (r=0.995, r²=0.989). Repeatability study of 9,120 bone segments showed joint center/segment length identification within 0.811mm (99% confidence) and 1.02% total skeletal change between sessions, exceeding predicate marker-based repeatability.
Technological Characteristics
Markerless 3D optical motion capture system. Uses off-the-shelf cameras and Linux-based computing hardware. Performs 3D trajectory reconstruction and kinetic calculations (including ground reaction forces) via digital skeleton modeling. Connectivity via local database or secure cloud-based server. Non-sterile, non-contact, no energy delivery. Complies with IEC 60601-1 and IEC 60601-1-2. Software developed per ANSI/AAMI/IEC 62304.
Indications for Use
Indicated for assessment and training of limb or body motion in pre/post rehabilitation evaluation, physical therapy, and similar clinical applications for patients requiring movement pattern quantification.
Regulatory Classification
Identification
Measuring exercise equipment consist of manual devices intended for medical purposes, such as to redevelop muscles or restore motion to joints or for use as an adjunct treatment for obesity. These devices also include instrumentation, such as the pulse rate monitor, that provide information used for physical evaluation and physical planning purposes., Examples include a therapeutic exercise bicycle with measuring instrumentation, a manually propelled treadmill with measuring instrumentation, and a rowing machine with measuring instrumentation.
Special Controls
*Classification.* Class II (special controls). The device, when it is a measuring exerciser or an interactive rehabilitation exercise device for prescription use only, is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 890.9.
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March 7, 2019
Scientific Analytics, Inc. % Evan Phelps Principal OFW Law 600 New Hampshire Ave., NW Suite 500 Washington, District of Columbia 20037
Re: K180880
Trade/Device Name: DARI Health Regulation Number: 21 CFR 890.5360 Regulation Name: Measuring Exercise Equipment Regulatory Class: Class II Product Code: LXJ Dated: December 18, 2018 Received: December 18, 2018
Dear Evan Phelps:
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/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.
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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 https://www.fda.gov/CombinationProducts/GuidanceRegulatoryInformation/ucm597488.html; 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 http://www.fda.gov/MedicalDevices/Safety/ReportaProblem/default.htm.
For comprehensive regulatory information about mediation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/MedicalDevices/DeviceRegulationandGuidance/) and CDRH Learn (http://www.fda.gov/Training/CDRHLearn). 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 (http://www.fda.gov/DICE) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
# Vivek J.
for Carlos L. Peña, PhD, MS Director Division of Neurological and Physical Medicine Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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# Indications for Use
510(k) Number (if known) K180880
Device Name DARI Health
Indications for Use (Describe)
DARI Health is a computer and video system used to quantify and graphically display human movement patterns and techniques for uses such as assessment and training of limb or body motion in pre/post rehabilitation evaluation, physial therapy, and the like.
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
### "510(k) Summary" As required by section 807.92(c) For DARI Health
#### February 4, 2019
1. Company Name and Address
a. Sponsor/Manufacturer
Scientific Analytics, Inc. 2100 Magnum Circle Suite 7 Lincoln, NE 68522
b. Consultant/Contact
Evan P. Phelps OFW Law 600 New Hampshire Ave, Ste. 500 Washington D.C. 20037 ephelps@ofwlaw.com Tel: (202) 789-1212 Fax: (202) 234-3550
2. Establishment Registration Number:
Not yet assigned
- 3. Device Name:
- a. Trade Name: DARI Health b. Common/Usual Name: Motion Measurement System System, Optical Position/Movement Recording
- c. Classification Name:
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- 4. Device Classification:
- a. 21 C.F.R. § 890.5360 (Class II)
- b. Product Code: LXJ
- c. Classification Panel: Physical Medicine
- 5. Legally Marketed Predicate Devices
- a. Peak Motus Motion Measurement System
- i. 510(k) Owner: Peak Performance Technologies, Inc.
- ii. 510(k) Number: K030714
- iii. 21 C.F.R. § 890.5360 (Class II)
- iv. Product Code: LXJ
- 6. Device Description
DARI's existing motion capture technology system has been utilized in non-clinical biomechanical research, fitness applications, and performance evaluation for may years. In view of experience with this technology, its numerous uses, and its demonstrated value, there's an need for the development of its use in clinical applications.
DARI Health is a "markerless," three-dimensional human motion capture and analytical software system that uses off-the-shelf video cameras, off-the-shelf computer hardware, off-theshelf motion analysis software, and proprietary DARI Health Software (consisting of DARI Connect, DARI Capture plug-in, DARI Insight Engine, and DARI Rerort Engine) or DARA quantify, and document full-body human kinematics and kinetics during patient movement
Motions are recorded in real-time, using a digital "skeleton" to identify joint center and segment data for the cervical spine, upper extremity, trunk, and lower extremity of the paint. The captured video can be viewed after recording has ended or at some later point.
During movement, the DARI Health interfaces with the capture software (off-the-shelf, Captury Live) tracks all segments and joint centers as they move in all planes of more the with resulting output is sent to The DARI Insight Engine processing software-either housed it ally on the computer used for capture or in a security-compliant, cloud-based server-where thered drant can be used to calculate all kinetic data produced during the revor d more one more one Such data is then displayed in different report formats-from large, raw datasets to simple, grahital reports that track key biomechanical metrics.
Healthcare providers can access patient biomechanical data remotely through a secure webportal or locally on the computer database application to monitor patient progress and view prior or current motion analyses.
There is no direct contact with the patient by the DARI Health system, and no energy is delivered to the subject at any point during the usage of the system.
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#### 7. Intended Use
DARI Health is a computer and video system used to quantify and graphically display human movement patterns and techniques for uses such as assessment and training of limb or body motion in pre/post rehabilitation evaluation, physical therapy, and the like.
# 8. Technological Characteristics and Substantial Equivalence Evaluation
The technological characteristics of the DARI Health System device are based on the capture of three-dimensional motion information obtained from the subject under study. The video feed from the patient in motion is then recorded and stored on a computer where it is available for analysis of human motion using the DARI Health product. The DARI Insight Engine provided by DARI Health is used for data presentation to the healthcare professional. The data are accessible from a remote, security-compliant server for remote evaluations by the healthcare professional.
The DARI Health is substantially equivalent in terms of intended use, operating principles, and operational specifications to the Peak Motus Motion Measurement System (K030714) which is a legally marketable Optical Position/Movement Recording Systems classified pursuant to 21 C.F.R. §890.5360 under Product Code LXJ. As with the Peak Motus device, the DARI Health is intended to be used to quantify, analyze, document for remote access, visually display threedimensional human kinematics, kinetics, and patient performance metrics related to human movement patterns for uses such as assessment and training of limb or body motion in applications where such analysis is relevant to the clinician's decision-making processes.
This equivalency is summarized in the Tables below where Table 1 discusses the equivalency of the indications for use between the DARI device and the predicates. Table 2 discusses the technological characteristics between the DARI device and the predicates to demonstrate substantial equivalency.
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| | Substantial Equivalence to Predicate Devices<br>Table 1: Indications for Use | |
|------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| | Peak Motus<br>K030714 | DARI Health |
| Indications<br>for Use | Computer and video system used to quantify and graphically display human movement patterns and techniques for uses such as assessment and training of limb or body motion in gait analysis, prosthetic design, pre/post rehabilitation evaluation, physical therapy, and the like. | DARI Health is a computer and video system used to quantify and graphically display human movement patterns and techniques for uses such as assessment and training of limb or body motion in pre/post rehabilitation evaluation, physical therapy, and the like. |
DARI Motion 510(k) Submission
# #
THANN ALER LE
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| Table 2: Technological Characteristics Comparison | | |
|----------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| | Peak Motus<br>K030714 | DARI Health |
| Motion Capture<br>Principles<br>of<br>Operation | Optical cameras<br>Software/Hardware system that<br>uses off-the-shelf cameras,<br>sensors, and computers to<br>collect, quantify, and document<br>human movement in two-<br>dimensional or three-<br>dimensional space. This system<br>tracks and provides visual<br>feedback of patient movement<br>while reporting on kinematic<br>parameters such as velocity and<br>joint angles measured during<br>movement | Optical cameras<br>Use of off-the-shelf optical cameras<br>or motion sensing technology, and<br>computing equipment as the user<br>interface and software, to collect,<br>quantify, and document human<br>movement in three-dimensional<br>space. The DARI Health calculates<br>such outputs as validated<br>biomechanics and performance<br>metrics vis cloud-based or local<br>processing software. |
| Analysis<br>and<br>Interface Tools | Peak Motus uses software<br>modules (Vicon) to capture,<br>calculate, and represent patient<br>biomechanical data | DARI Health uses software modules<br>to capture, calculate, and display<br>patient biomechanical data, and<br>offers remote access to prior analyses<br>via web-based portal and database. |
| Software<br>and<br>Hardware<br>Compatibility | Peak Motus uses software and<br>hardware that are compatible<br>with Microsoft Windows | DARI Health hardware and software<br>are compatible with Linux operating<br>systems. |
| Operating System | Microsoft Windows | Linux-based OS |
| Markerless Motion<br>Live Capture and<br>Post-Processing | Live capture video requires use<br>of position markers on subject's<br>body.<br>Post-processing motion analysis<br>may be done without position<br>markers on body. | DARI Health provides live<br>markerless motion capture of the<br>subject and the ability to post-process<br>video for motion analysis.<br>No position markers required for live<br>capture or post-processing analysis. |
| Trajectory<br>Reconstruction | 2D and/or 3D reconstruction | 3D reconstruction |
| Kinetic Calculations | | |
| | Requires integration with force<br>plates to measure kinetic data<br>such as ground reaction force. | DARI Health uses subject and digital<br>skeleton data to perform ground<br>reaction force calculations. |
| External<br>Measurement<br>Device Integration | Electromyography<br>(EMG)<br>integration.<br>Event synchronization units.<br>Analog-to-digital interface (64<br>sensors) | None |
| Contraindications | None | None |
| Electrical Safety:<br>Energy Used /<br>Delivered | No energy is delivered to the<br>patient | No energy is delivered to the patient |
| Biocompatibility | Not applicable | Not applicable |
| Mechanical,<br>Thermal, Chemical<br>Safety | Safety not an issue per 510k<br>summary | No thermal, chemical, or safety<br>issues during DARI Health motion<br>analysis |
| Radiation Safety<br>Electromagnetic<br>Compatibility | System does not emit radiation<br>EMC and EMI Compliant | System does not emit radiation<br>EMC and EMI Compliant |
| Sterility | Non-sterile device | Non-sterile device |
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#### 9. Summary of Performance Data
DARI Health performance characteristics have been verified by independent, peerreviewed studies proving the accuracy of the system's calculations of human kinematics and kinetics as compared to both traditional, gold-standard marker-based analysis and forces plate output. Likewise, DARI Health internal studies demonstrate repeatability metrics that or or exceed predicate and motion analysis industry standards. In addition, software validation a ot testing were completed for the device and functioned as intended and all results onsemally were those expected.
- a. Non-Clinical Performance Summary
Safety
DARI Health utilizes common technical equipment to execute motion analysis with demonstrated safety. The system requires no contact with the patient, and poses no electrical, chemical, mechanical, thermal, or radiation safety concerns; therefore, there are
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no safety issues associated with its use. The DARI Health complies with IEC 60601-1 and IEC 60601-1-2.
#### Effectiveness
Bench testing demonstrates the DARI Health motion capture methodology's accuracy in representing and tracking digital skeletal segments.
- b. Clinical Performance Summary
#### Effectiveness
Clinical studies demonstrate the equivalency to predicate marker-based capture of human kinematics and industry-standard force plate output for evaluation of human kinetics.
Specifically, when compared to a predicate marker-based Vicon (Peak Motus) system in an independent, peer-reviewed study, the DARI Health system showed no statistically significant differences in the clinically relevant joint angles being measured for investigation (p =0.33).
The DARI Health system was also tested against standard force plate output in an independent, peer-reviewed study, where DARI's force calculation methodology demonstrated no statistically significant differences in peak force, mean force, or now force as compared to simultaneous measurements derived from a force plate (p > 0.05). Additionally, comparison of force-time curves with regression yiald ( > > 0.03). correlation between modalities (r = 0.995, 2 = 0.989, SEM = 11.1 NN.
A clinical study also supports the repeatability of the DARI Health System.
Specifically, the repeatability of segment length and joint center calculation over successive scans of 9,120 bone segments demonstrated the ability to identify the joint centers and segment lengths within 0.811mm with 99% confidence, exhibiting only 1.02% total skeletal change between sessions with 0.002 mm of variance. This exceeds prelicate repeatability associated with marker analysis and inter-test repeatability of goniometers claimed by predicate JRS v2.0.
10. System Validation for Software Design, Documentation, and Hazard Analysis
The DARI Health software is of "modcrate" level of concern based upon FDA Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices (2005). Consistent with FDA guidance and other applicable requirements, all hazards have been mitigated through appropriate controls, product labeling, while maintaining sufficient secve to may see protect the software and data.
**DARI Motion 510(k) Submission**
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The DARI Health motion analysis software underwent a standardized approach consistent with the requirements of the Quality System Regulation (21 C.F.R. § 820.30) and ANSI 62304 for appropriate design, risk assessment, document, and validation control for software classed as "moderate level of concern."
DARI Health conforms to the following FDA recognized standards and associated FDA guidance documents:
- Medical Device Software-Software Life Cycle Processes ANSI/AAMI/ IEC 62304: 2006 . & A1:2016
- Guidance on the use of AGILE practices in the development of medical device software . AAMI TIR45:2012
- 11. Substantial Equivalence Conclusion
The aforementioned testing dominstrate substantial equivalence between the DARI Health System and the Peak Motus Motion Measurement System (K020214).
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.