The Digital Thermometers MT series are intended to measure the human body temperature in regular mode orally, rectally or under the arm. The devices are reusable for clinical or home use on people of all ages.
Device Story
MT series digital thermometers measure human body temperature via thermistor resistance changes. Non-predictive models provide direct readings; predictive models (MT-4726, MT-4735) use a proprietary algorithm to estimate balanced temperature in 5-10 seconds. Devices consist of sensor, housing, stainless steel cap, LCD, and control module. Used in clinical or home environments by patients or clinicians. Output displayed on LCD; aids in fever detection and clinical decision-making. Predictive models automatically revert to regular mode if prediction fails. Powered by 1.5V or 3.0V batteries; some models include backlight and color-coded temperature indicators.
Clinical Evidence
Clinical accuracy evaluation conducted for predictive models MT-4726 and MT-4735 per ISO 80601-2-56:2009, clause 201.102. Non-predictive models relied on bench testing and substantial equivalence to predicates.
Technological Characteristics
Thermistor-based sensing; ABS housing; stainless steel probe cap. Predictive models use proprietary software algorithms. Standards: AAMI/ANSI ES60601-1, IEC 60601-1-2, IEC 60601-1-11, ISO 80601-2-56, ASTM E1112, ISO 10993-5/10. Power: 1.5V or 3.0V DC. Connectivity: None. Sterilization: Not specified (reusable device).
Indications for Use
Indicated for human body temperature measurement (oral, rectal, or axillary) in clinical or home settings for patients of all ages.
Regulatory Classification
Identification
A clinical electronic thermometer is a device used to measure the body temperature of a patient by means of a transducer coupled with an electronic signal amplification, conditioning, and display unit. The transducer may be in a detachable probe with or without a disposable cover.
Special Controls
(1) Device is not a clinical thermometer with telethermographic functions;
(2) Device is not a clinical thermometer with continuous temperature measurement functions; and
(3) Appropriate analysis and testing (such as that outlined in the currently FDA-recognized editions, as appropriate, of ISO 80601-2-56, “Medical electrical equipment—Part 2-56: Particular requirements for basic safety and essential performance of clinical thermometers for body temperature measurement,” or ASTM E1965, “Standard Specification for Infrared Thermometers for Intermittent Determination of Patient Temperature,” or ASTM E1112, “Standard Specification for Electronic Thermometer for Intermittent Determination of Patient Temperature,” or ASTM E1104, “Standard Specification for Clinical Thermometer Probe Covers and Sheaths”) must validate specifications and performance of the device.
Predicate Devices
Digital Thermometers Models MT-4119 and MT-4320 (K110776)
Submission Summary (Full Text)
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Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
May 27, 2016
Sejoy Electronics & Instruments Co., Ltd. Mr. Ren Yunhua General Manager Building 2, No. 202, Zhenzhong Road West Lake Economy & Technology Zone Hangzhou, 310030 CHINA
Re: K153149
Trade/Device Name: Digital Thermometer, Models MT-1027, MT-4127, MT-1032, MT-4132, MT-4333, MT-4326, MT-4726, MT-4335, MT-4735, MT-09, MT-30, MT-31, MT-36 Regulation Number: 21 CFR 880.2910 Regulation Name: Clinical Electronic Thermometer Regulatory Class: II Product Code: FLL Dated: April 15, 2016 Received: May 13, 2016
Dear Mr. Yunhua:
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.
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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 (reporting of medical devicerelated adverse events) (21 CFR 803); good manufacturing practice requirements as set forth in the quality systems (OS) 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 contact the Division of Industry and Consumer Education 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. 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 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 Industry and Consumer Education 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,
Tina Kiang -
for Erin I. Keith, M.S. Director Division of Anesthesiology, General Hospital. Respiratory. Infection Control, and Dental Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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## Indications for Use
510(k) Number (if known) K153149
#### Device Name
Digital Thermometer, Models MT-1027, MT-4127, MT-4333, MT-4326, MT-4726, MT-4726, MT-4735, MT-09, MT-30, MT-31, MT-36
#### Indications for Use (Describe)
The Digital Thermometers MT series are intended to measure the human body temperature in regular mode orally, rectally or under the arm. The devices are reusable for clinical or home use on people of all ages.
| 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) | <div> </div> |
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Image /page/3/Picture/0 description: The image shows the logo for SEJOY. The logo is blue and has a yellow triangle above the "J". The letters are bold and easy to read. The logo is simple and modern.
世佳电子有限公司 Sejoy Electronics & Instruments Co.,Ltd.
# 510(k) Summary
The assigned 510(k) number is: K153149
### 1. Date Prepared:
May 25, 2016
### 2. Submitter's Identification:
Name: Sejoy Electronics & Instruments Co., Ltd. Address: Building 2, No.202, Zhenzhong Road, West Lake Economy & Technology Zone, Hangzhou, China 310030 Contact Person: Yunhua Ren Phone: +86-571-81957767 Fax: +86-571-81957750 Email: RENYH@SEJOY.COM
### 3. Name of the Device:
Trade Name: Digital Thermometer, Models MT-1027, MT-4127, MT-1032, MT-4132, MT-4333, MT-4326, MT-4726, MT-4335, MT-4735, MT-09, MT-30, MT-31, MT-રેસ
Common Name: Digital Thermometer
Classification name: Clinical Electronic Thermometer
#### 4. Classification Information:
Product Code: FLL- Clinical Electronic Thermometer Device Class: II Panel: 80 Regulation number: 21 CFR 880.2910
#### 5. Predicate Device Information:
Digital Thermometers Models MT-4119 and MT-4320 manufactured by SEJOY ELECTRONICS & INSTRUMENTS CO., LTD.
510(k) number: K110776
### 6. Intended use / Indication for Use:
The Digital Thermometers MT series are intended to measure the human body temperature in regular mode orally, rectally or under the arm. The devices are reusable for clinical or home use on people of all ages.
The intended uses/ indication for use of the Digital Thermometers, models: MT series are Identical to the predicate devices, Digital Thermometers, models: MT-4119, MT-4320.
#### 7. Device Description:
Models MT-1027, MT-4127, MT-4132, MT-4132, MT-4335, MT-4335, MT-4326, MT-09, MT-30, MT-31, and MT-36 are non-predictive digital thermometers. Models MT-4726 and MT-4735 are predictive digital thermometers.
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Both predictive and non-predictive models include a sensor, buzz films, housing, a stainless steel cap, a LCD display, and a measurement control module. The thermometers include a dustproof case as an accessory.
Additionally, both models do not need to be used in conjunction with a disposable probe cover when taking temperature.
#### 8. Principles of Operation:
The basic principle of the MT series digital thermometers is that a change in thermistor resistance is caused by a change in temperature. The resistance is measured by a microcontroller unit, so that changes in temperature will correspond to changes in resistance.
Compared to the non-predictive thermometers, the following is a description of the predictive thermometer models MT-4726 and MT-4735:
The predictive thermometer models display the temperature results in a short period of time. The displayed temperature is equivalent to the balanced temperature after 5 minutes according to the proprietary algorithm. Therefore, users only need about 5 seconds to take temperature readings. The measurement time may vary depending on the anatomical site of the temperature reading; however the measurement time should remain between 5-10 seconds. If the predictive temperature cannot be measured, the device will take the actual temperature (regular mode) automatically.
### 9. Modifications to Predicate Device:
The subject device models have each been altered in at least one of the following ways as noted in the table below:
-Addition of predictive algorithm for Models MT-4735 and MT-4726
-New battery type to support added backlight feature
- -Modification of labeling including cleaning/disinfection instructions
- -Temperature associated color light indication with updated labeling
- -Thermometer response time
- -Battery life
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| Technological<br>Characteristics<br>of Comparison | Subject Device: | Predicate Device<br>Model MT-4119<br>(K110776): | Predicate Device<br>Model MT-4320<br>(K110776) | Comparison<br>on<br>Result | Remark | |
|---------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------|-----------------------------------------------------------------------|-------------------------------------------------------------|-----------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------|
| Digital<br>thermometers | Models:<br>MT-1027,MT-4127,MT-1032,MT-<br>4132,MT-4333,MT-4326,MT-<br>4726,MT-4335, MT-4735,MT-09,MT-<br>30,MT-31,MT-36 | Model: MT-4119<br>(Rigid tip thermometer) | Model: MT-4320<br>(Flexible tip<br>thermometer) | / | / | |
| Intended use/<br>Indication for Use | Measuring the human body temperature in regular mode orally, rectally or under the arm, and the<br>devices are reusable for clinical or home use on people of all ages. | | | Identical | / | |
| Components | Sensor, buzz film, housing, stainless steel cap, LCD display, measurement control module. | | | Identical | / | |
| Accessory | Dustproof case | | | Identical | / | |
| Sensor | Thermistor | | | Identical | / | |
| Power<br>Requirements | MT-1027,MT-4127<br>MT-1032,MT-4132<br>MT-4333,MT-<br>4326, MT-<br>4335,MT-09, MT-<br>30,MT-31,<br>MT-4726,MT-4735 | 1.5V d.c (LR41 or<br>SR41,UCC392)<br>3.0V d.c(CR2032) | 1.5V d.c (LR41 or SR41,UCC392) | Similar | Change in<br>battery type<br>from 1.5V<br>d.c. (LR41 or<br>SR41,UCC392)<br>to 3.0V d.c.<br>(CR2032) | |
| Backlight function | MT-1027,MT-4127<br>MT-1032,MT-4132<br>MT-4333,MT-4326,<br>MT-4335,MT-09,<br>MT-30,MT-31,<br>MT-36 | No backlight function | No backlight function | | Identical | / |
| | MT-4726,MT-4735 | Yes | No backlight function | | Different | / |
| Material used | MT-1027,MT-4127<br>MT-1032,MT-4132<br>MT-09,MT-30,<br>MT-31<br>MT-4333,MT-4326,<br>MT-4726,MT-4335,<br>MT-4735,MT-36 | Housing: ABS<br>Probe: Stainless<br>steel | Housing: ABS<br>Probe: Stainless steel | Housing: ABS<br>Flexible tip: TPE<br>Probe: Stainless steel | Identical | Flexible tip<br>thermometers<br>are identical to<br>MT-4320 and<br>rigid tip<br>thermometers<br>are identical to<br>MT-4119 |
| Measure range | MT-1027,MT-4127<br>MT-1032,MT-4132<br>MT-4326,MT-4335,<br>MT-4333,MT-09,<br>MT-30,MT-31,<br>MT-36<br>MT-4726,MT-4735 | 32°C~42.9°C<br>(90°F~109.9°F) | 32°C~42.9°C<br>(90°F~109.9°F) | | Similar | Meet the<br>requirement of<br>ASTM E1112 |
| | MT-1027,MT-4127<br>MT-1032,MT-4132<br>MT-4333,MT-4326, | | Direct Mode | | | |
| Operating mode | MT-4335,MT-09,<br>MT-30,MT-31,<br>MT-36 | Direct Mode | | Similar | / | |
| | MT-4726,MT-4735 | Adjusted mode :<br>Oral mode/<br>Rectal mode/<br>Underarm mode<br>Direct Mode:<br>Bath mode | | | / | |
| Accuracy | $±0.1°C$ between $35.5°C$ to $42.0°C$ ( $±0.2°F,95.9°F-107.6°F$ ),<br>$±0.2°C$ under $35.5°C$ or over $42.0°C$ ( $±0.4°F$ under $95.9°F$ or over $107.6°F)$ | | | Identical | / | |
| Humidity range | 15%~95%,non-condensing | | | Identical | / | |
| Storage | Temperature: $-20℃~55℃$ ( $-4°F~131°F$ ) | | | Identical | / | |
| Environment | Humidity:15% ~95% RH; Atmospheric Pressure:800hPa ~ 1060hPa | | | Identical | / | |
| Color-temperature<br>light indicators | MT-4132,MT-4333 | Different colored lights | | Different | / | |
| | MT-4335,MT-4735<br>MT-4726,MT-4326 | corresponding to<br>different temperatures. | No this function | | / | |
| | MT-1027,MT-4127<br>MT-1032, MT-09,<br>MT-30,MT-31,<br>MT-36 | | No this function | Identical | / | |
| Response time | MT-4326,MT-4127<br>MT-4132,MT-4333<br>MT-4335,MT-30 | <45s | <45s | Identical | / | |
| | MT-1027 MT-1032 | <60s | <45s | Similar | / | |
| | MT-09,MT-31 | | | | | |
| | MT-4726,MT-4735<br>MT-36 | <10s | <45s | Similar | / | |
| | MT-1027,MT-4127 | | | | | |
| Software | MT-1032,MT-4132 | | | | | |
| | MT-4333,MT-4335 | No software | No software | Identical | / | |
| | MT-4326,MT-09, MT- | | | | | |
| | 30,MT-31, MT-36 | | | | | |
| | MT-4726,MT-4735 | Have software | No software | Different | / | |
| Battery life | MT-1027,MT-4127 | | | | Battery life | |
| | MT-1032,MT-4132 | | | | changes from | |
| | MT-4333,MT-4335 | | | Similar | approx 200 hours | |
| | MT-4326,MT-09, MT- | Approx 200 hours | Approx 200 hours | | to approx | |
| | 30,MT-31, MT-36 | | | | 40 hours | |
| | MT-4726,MT-4735 | Approx 40 hours | | | | |
| Biocompatibility | Complied with the biocompatible requirements of FDA | | | Identical | / | |
| Labeling | Updated cleaning/disinfection instructions,<br>Updated MR Safety labeling | | Outdated cleaning/disinfection instructions and MR<br>Safety labeling | Different | / | |
| Where used | Clinical or home | | | Identical | / | |
| Number of | | | | Identical | / | |
| readings stored in | Display of temperature last measured | | | | | |
| Memory | | | | | | |
| Precision and | 3 numerical digits, display in 0.1 degree increments | | | Identical | / | |
| repeatability | | | | | | |
| Reference<br>Standards | AAMI / ANSI ES60601-1,IEC 60601-1-2, IEC 60601-1-11,ISO 80601-2-56, ASTM E1112, ISO<br>10993-5, ISO 10993-10 | | | Identical | / | |
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### 10. Discussion of Non-Clinical Tests Performed for Determination of Substantial Equivalence:
The Sponsor performed a risk assessment based on the changes made to their predicate device and determined that the following non-clinical testing was necessary to demonstrate that the changes did not introduce any new risks to the subject device.
Laboratory testing was conducted to validate and verify that the thermometers continued to meet all requirements of related international standards, including electrical safety, EMC, software, biocompatibility, and cleaning/disinfection. Results of these tests demonstrated compliance to the requirements of the below consensus standards and FDA Guidance documents. Software validation testing was only performed for predictive Models MT-4726 and MT-4735.
### Electrical Safety and Performance:
AAMI / ANSI ES60601-1:2005/(R)2012 and C1:2009/(R)2012 and, A2:2010/(R)2012:
AAMI / ANSI ES60601-1:2005/(R)2012 and A1:2012, and C1:2009/(R)2012 and A2:2010/(R)2012;
ISO 80601-2-56:2009;
ASTM E1112-00(Reapproved 2011)
Medical Electrical Equipment and medical Electrical Systems Used in the Home Healthcare Environment:
IEC 60601-1-11:2010
### Electromaqnetic Compatibility:
IEC 60601-1-2:2007
IEC 60601-1-2:2014
### Biocompatibility:
ISO 10993-5:2009
ISO 10993-10:2010
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# Cleaning/Disinfection/Reprocessing:
ASTM E2314 -03(2014)
FDA Guidance: Reprocessing Medical Devices in Health Care Settings -Validation Methods and Labeling
## Software:
EN 60601-1-4:2000 General Requirements for safety - Collateral Standard: Programmable electrical medical system
General Principles of Software Validation – Final Guidance for Industry and FDA Staff
### Clinical Electronic Thermometers Guidance:
Guidance on the content of Premarket Notification[510(k)] Submission for clinical electronic thermometers
### 11. Discussion of Clinical Tests Performed:
In order to demonstrate that the subject device did not introduce any new risks in comparison to the subject device a clinical accuracy evaluation has been conducted according to clause 201.102 of ISO 80601-2-56:2009 for predictive models MT-4726 and MT-4735.
### 12. Conclusions:
Based on the information provided in this submission, the subject digital thermometer MT series is substantially equivalent to the predicate models MT-4119 and MT-4320. The devices are as safe and as effective as the predicate device models.
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.