The Heart Seat is a replacement for a standard toilet seat that is indicated for use in a home environment. The Heart Seat is intended to be used for measuring, displaying, reviewing and storing non-invasive functional oxygen saturation of arterial hemoglobin (SpO2) and heart rate (HR) in adults of at least 22 years of age with weight ranging from 90 to 350 pounds. Data from the Heart Seat are collected whenever the seat is used and are automatically uploaded to the Casana Cloud where they can be viewed by the healthcare provider. The Heart Seat is not intended for continuous monitoring.
Device Story
The Heart Seat is a prescription-use toilet seat integrated with physiological sensors for home monitoring. It captures SpO2 via photoplethysmography (PPG) and heart rate via single-lead ECG from the user's thighs while seated. Data are automatically uploaded via WiFi to the Casana Cloud. A biometric identification (BioID) algorithm identifies the specific user. Clinical users access the cloud-based application to review measurements, supporting patient management. The device provides a non-invasive, passive method for routine physiological data collection, benefiting patients by enabling remote monitoring without active intervention. It is not intended for continuous monitoring.
Clinical Evidence
Heart Rate validation (n=117, 349 pairs) showed 348/349 points met accuracy criteria (±5 bpm or 10%) vs 3-lead ECG. SpO2 validation (n=13) per ISO 80601-2-61 showed ARMS of 2.7% (70-100% range). BioID algorithm validation (n=125) showed mean False Match Rate (FMR) of 0.7% (95% CI: 0.89%) and mean False Negative Match Rate (FNMR) of 15.3% (95% CI: 20.47%).
Technological Characteristics
Toilet seat form factor; PPG for SpO2; single-lead ECG for HR; thigh measurement site. Connectivity: WiFi to cloud. Standards: ISO 80601-2-61, IEC 60601-1, IEC 60601-1-11, IEC 60601-1-2, ANSI AAMI EC57, IEC 60601-2-27. Biocompatibility per ISO 10993-1. Software: Moderate level of concern.
Indications for Use
Indicated for adults >= 22 years, 90-350 lbs, in home environments for non-invasive measurement, display, review, and storage of SpO2 and heart rate. Not for continuous monitoring.
Regulatory Classification
Identification
A cardiac monitor (including cardiotachometer and rate alarm) is a device used to measure the heart rate from an analog signal produced by an electrocardiograph, vectorcardiograph, or blood pressure monitor. This device may sound an alarm when the heart rate falls outside preset upper and lower limits.
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April 24, 2023
Casana Care, Inc. % Donna-Bea Tillman Senior Consultant Biologics Consulting 1555 King Street, Suite 300 Alexandria, Virginia 22314
Re: K222330
Trade/Device Name: The Heart Seat Regulation Number: 21 CFR 870.2300 Regulation Name: Cardiac Monitor (Including Cardiotachometer And Rate Alarm) Regulatory Class: Class II Product Code: MWI, DQA Dated: March 27, 2023 Received: March 27, 2023
Dear Donna-Bea Tillman:
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/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 mediation-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.
# Shruti N. Mistry -S
for
Jennifer Shih Kozen Assistant Director Division of Cardiac Electrophysiology, Diagnostics and Monitoring Devices Office of Cardiovascular Devices Office of Product Evaluation and Ouality Center for Devices and Radiological Health
Enclosure
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### Indications for Use
510(k) Number (if known) K222330
Device Name The Heart Seat
### Indications for Use (Describe)
The Heart Seat is a replacement for a standard toilet seat that is indicated for use in a home environment. The Heatt Seat is intended to be used for measuring, reviewing and storing non-invasive functional oxygen saturation of arterial hemoglobin (SpO2) and heart rate (HR) in adults of at least 22 years of age with weight ranging from 90 to 350 pounds. Data from the Heart Seat are collected whenever the seat is used and are automatically uploaded to the Casana Cloud where they can be viewed by the healthcare provider. The Heart Seat is not intended for continuous monitoring.
| Type of Use (Select one or both, as applicable) | |
|--------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------|
| <div> <span> <b> ☑ Prescription Use (Part 21 CFR 801 Subpart D) </b> </span> </div> | <div> <span> <b> ☐ Over-The-Counter Use (21 CFR 801 Subpart C) </b> </span> </div> |
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In accordance with 21 CFR 807.87(h) and 21 CFR 807.92 the 510(k) Summary for The Heart Seat is provided below.
#### 1. SUBMITTER
| Applicant: | Casana Care, Inc.<br>150 Metro Park Suite A<br>Rochester, NY 14623 |
|---------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Contact: | Kara Johnson<br>Vice President Regulatory Affairs and Quality<br>Assurance<br>Casana Care, Inc.<br>150 Metro Park Suite A<br>Rochester, NY 14623<br>kjohnson@casanacare.com |
| Submission Correspondent: | Donna-Bea Tillman, Ph.D.<br>Senior Consultant<br>Biologics Consulting<br>1555 King St, Suite 300<br>Alexandria, VA 22314<br>410-531-6542<br>dtillman@biologicsconsulting.com |
| Date Prepared: | April 18, 2023 |
#### 2. DEVICE
| Device Trade Name: | The Heart Seat |
|---------------------|-----------------------------------------------------------------------------|
| Device Common Name: | Multi-Parameter Patient Monitor |
| Classification Name | 21 CFR 870.2300 Cardiac monitor (including cardiotachometer and rate alarm) |
| Regulatory Class: | II |
| Product Code: | Primary: MWI<br>Secondary: DQA |
#### PREDICATE DEVICE 3.
Predicate Device: K210086 Vitals360® Multi-Vitals Mobile Monitor
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#### DEVICE DESCRIPTION 4.
The Heart Seat™ is a prescription use remote monitoring system built into a toilet seat. It is intended for physiological monitoring in the home setting. The device and platform are tools intended to support clinicians by providing them with data to help them better manage patients. Monitored users (or Patients) sit on the seat for their data to be captured and sent to the cloud. Clinical users interact with the clinical cloud-based application that provides the patient measurements.
#### INTENDED USE/INDICATIONS FOR USE 5.
The Heart Seat is a replacement for a standard toilet seat that is indicated for use in a home environment. The Heart Seat is intended to be used for measuring, displaying, reviewing and storing non-invasive functional oxygen saturation of arterial hemoglobin (SpO2) and heart rate (HR) in adults of at least 22 years of age with weight ranging from 90 to 350 pounds. Data from the Heart Seat are collected whenever the seat is used and are automatically uploaded to the Casana Cloud where they can be viewed by the healthcare provider. The Heart Seat is not intended for continuous monitoring.
#### 6. SUBSTANTIAL EQUIVALENCE
## Comparison of Indications
The Vitals360 and the Heart Seat are both prescription-use devices intended to be used in the home environment to collect physiological data from users 18 years and older. The physiological data collected by the Heart Seat is a subset of that collected by the Vitals360. While there are differences in the form factors of the devices, they have the same intended use, which is to provide for the measurement, display, review, and storage of physiological data.
## Technological Comparisons
The table below compares the key technological feature of the subject devices to the predicate device (Vitals360® Multi-Vitals Mobile Monitor, K210086).
| | Proposed Device | Predicate Device | Discussion of Differences |
|--------------------------------------------------|----------------------------------------------------------------------------------------------------------|---------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------|
| 510(k) Number | TBD | K210086 | N/A |
| Applicant | Casana Care, Inc. | VoCare, Inc. | N/A |
| Device Name | Heart Seat | Vitals360® Multi-<br>Vitals Mobile Monitor | N/A |
| | Proposed Device | Predicate Device | Discussion of<br>Differences |
| Classification<br>Regulation | 21 CFR 870.2300 | 21 CFR 870.2300 | N/A |
| Product Code | MWI, DQA | MWI, DQA, DSH,<br>DXN, FLL | Heart Seat provides a<br>subset of the predicate<br>features |
| Prescription/OTC | Prescription | Prescription | Same |
| Use environment | Home | Home, clinic | Heart Seat can be used in<br>a subset of the predicate<br>use environments |
| Intended<br>Population | 18 years and older | 18 years and older | Same |
| Modes | Remote monitoring | Point of Care<br>Remote monitoring | Heart Seat provides a<br>subset of the predicate<br>features |
| Parameters<br>measured | SpO2, HR | SpO2, HR, NIBP,<br>Temp, Height, Weight | Heart Seat provides a<br>subset of the predicate<br>features |
| Data upload | Automatically - WiFi | Automatically - WiFi<br>or Cellular | Heart Seat provides a<br>subset of the predicate<br>features |
| Data storage<br>location | Casana Cloud | Third party MDDS | Both provide options for<br>remote storage of data |
| Patient<br>Identification | Uses BioID software<br>algorithm | None | Clinical testing<br>demonstrates that device<br>meets specifications, user<br>needs and intended uses |
| SpO2 Functionality | | | |
| Principle of<br>operation | PPG | PPG | Same |
| Measurement site | Thigh | Fingertip | Different locations;<br>clinical data<br>demonstrates equivalent<br>performance |
| Measurement range | 70% - 100% | 70% - 100% | Same |
| | Proposed Device | Predicate Device | Discussion of<br>Differences |
| Measurement<br>accuracy<br>performance<br>(Arms) | ±3.5% (70-100%) | ±2% (90~100%),<br>±4% (70~89%) | Clinical data<br>demonstrates equivalent<br>performance |
| Heart Rate | | | |
| Source | Single lead ECG | Single lead ECG (two<br>embedded metal<br>electrodes) | Same |
| Measurement site | Thigh | Fingertip | Different locations;<br>clinical data<br>demonstrates equivalent<br>performance |
| Measurement range | 40-200 bpm | 30 - 240 bpm | Heart Seat provides a<br>subset of the predicate<br>range. Outside of the<br>Heart Seat range, no<br>value is reported. |
| Resolution | 1 bpm | 1 bpm | Same |
| Measurement<br>accuracy | Specification: ±5bpm<br>or ±10%, whichever is<br>greater<br><br>Actual Performance:<br>Mean error 0.8bpm | Specification: ±2bpm<br>or ±2%, whichever is<br>greater | Clinical data<br>demonstrates equivalent<br>performance |
Table 1: Technological Comparison
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In conclusion, the differences in technological characteristics do not raise new questions of safety and effectiveness.
#### PERFORMANCE DATA 7.
## Biocompatibility Testing
The subject device is considered surface contacting for a or a limited duration (<24 hours). A biocompatibility evaluation was performed in accordance with ISO 10993-1:2018 and FDA Guidance "Use of International Standard ISO 10993-1, Biological evaluation of medical devices Part 1: Evaluation and testing within a risk management process" and FDA's draft guidance
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"Select Updates for Biocompatibility of Certain Devices in Contact with Intact Skin.". Based on the evaluation biocompatibility testing is not required.
### Electrical safety and electromagnetic compatibility (EMC)
The Heart Seat was tested in accordance with:
- ANSI AAMI ES60601-1:2005/(R)2012 and A1:2012. C1:2009/(R)2012 and . A2:2010/(R)2012 (Consolidated Text) Medical electrical equipment - Part 1: General requirements for basic safety and essential performance (IEC 60601-1:2005, MOD)
- IEC 60601-1-11: 2020 General Requirements for basic safety and essential performance - Collateral Standard: Requirements for Medical electrical equipment and medical electrical systems used in the home healthcare environment
- ISO 80601-2-61:2017 Medical electrical equipment Part 2-61: Particular requirements . for basic safety and essential performance of pulse oximeter equipment
- IEC 60601-1-2 Edition 4.0 2014-02 Medical electrical equipment Part 1-2: General . requirements for basic safety and essential performance - Collateral Standard: Electromagnetic disturbances - Requirements and tests
- IEEE/ANSI C63.27:2017 American National Standard For Evaluation Of Wireless Coexistence
- IEC 60086-4 Edition 5.0 2019-04 Primary batteries Part 4: Safety of lithium batteries ● [Including: Corrigendum 1 (2019) and Corrigendum 2 (2020)]
- UN 38.3: Transportation Testing for Lithium Batteries and Cells ●
## Software Verification and Validation Testing
Software verification and validation testing were conducted and documentation was provided as recommended by FDA's Guidance for Industry and FDA Staff, "Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices." The software for this device is considered moderate as an erroneous diagnosis or a delay in delivery of appropriate medical care could only lead to a minor injury.
# Bench Testing
The following mechanical testing was performed on the Heart Seat
- Dynamic rocker testing to test the integrity of the mounted seat assembly including the ● hinge, Side to Side Stability testing, Cyclical load testing, and Slow close seat endurance testing
The Heart Seat was also tested in accordance with:
- ISO 80601-2-61 Second edition 2017-12 (Corrected version 2018-02) Medical electrical ● equipment - Part 2-61: Particular requirements for basic safety and essential performance of pulse oximeter equipment
- ANSI AAMI EC57:2012 Testing and reporting performance results of cardiac rhythm ● and ST-segment measurement algorithms
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- IEC 60601-2-27 Edition 3.0 2011-03Medical electrical equipment - Part 2-27: Particular requirements for the basic safety and essential performance of electrocardiographic monitoring equipment
## Animal Testing
Not applicable. Animal studies are not necessary to establish the substantial equivalence of this device.
# Clinical Data
Casana conducted a Heart Rate Validation study in 117 healthy subjects comparing Heart Rate measurements reported by the Heart Seat to those obtained from a 3-lead ECG device. A total of 349 heart rate measurement pairs were collected, and 348/349 data points over the range of 40 to 103 bpm meet the Pass/Fail criteria of an Absolute Accuracy < 5 bpm or 10% (whichever is greater) when compared to both the reference average and the reference median. Subgroup analyses based on subject sex and aged (the two variables that might impact the results) showed no meaningful difference in performance.
Casana conducted an SpO2 Clinical Validation study in accordance with the FDA Pulse Oximeter Guidance Document and the FDA recognized standard ISO 80601-2-61:2017 under steady state no-motion conditions. Thirteen subjects provided data for the final analysis, three of whom had Fitzpatrick VI skin tone. The study met the acceptance criteria with an ARMS of 2.7 over the range of 70-100%.
Casana conducted a BioID Validation study to demonstrate that the biometric identification algorithm used by the Heart Seat is capable of identifying someone using the seat as the desired/designated user with sufficiently high accuracy without missing too many of that desired/designated user's recordings. The study enrolled 125 subjects with a range of ages, BMI, and skin tone intended to represent the intended users. The study met both primary endpoints:
- The overall mean False Match Rate (FMR) was 0.7% with an upper 95% CI of 0.89%. ● The FMR is the % of total number of sit recordings (true nonmatches) where the nondesignated user is incorrectly IDed as the designated user.
- . The overall mean FNMR (False Negative Match Rate) was 15.3% with an upper 95% CI of 20.47%. The FNMR is the % of total number of sit recordings where the designated user is incorrectly IDed as a non-designated user.
#### CONCLUSION 8.
Based on the detailed comparison of the intended use, indications for use, and specifications for the predicate Vitals360® Multi-Vitals Mobile Monitor (K210086), the performance testing, conformance with applicable standards, clinical testing and software verification testing, the Heart Seat can be found substantially equivalent to the predicate device. The differences in technological characteristics do not raise different questions of safety and effectiveness.
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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.
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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.
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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.
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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.
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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.
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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.
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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.