This UASure II Blood Uric Acid Monitoring System measures blood uric acid levels in fresh capillary whole blood drawn from fingertips. It is intended for single-patient home use by prescription and should not be shared. It is intended for self-testing outside the body (in vitro diagnostic use) by people with gout as an aid to monitor the effectiveness of uric acid control. The UASure II Blood Uric Acid Monitoring System helps track uric acid levels but does not diagnose Hyperuricemia or Gout. Do not change medications based on test results without talking to a doctor. The UASure II Blood Uric Acid Monitoring System includes the UASure II Meter, UASure II Blood Uric Acid Test Strips and UASure II Uric Acid Control Solution.
Device Story
UASure II Blood Uric Acid Monitoring System measures uric acid in fresh capillary whole blood via amperometric electrochemical biosensor. User applies blood sample to test strip; meter quantifies current generated by uric acid oxidation; result displayed on screen. System includes meter, test strips, and control solution. Intended for single-patient home use by prescription; operated by patient. Calibration performed via code card provided with test strips. Healthcare providers use output to monitor uric acid control effectiveness; patients must consult physician before altering medication based on results. Device provides quantitative monitoring to assist in gout management.
Clinical Evidence
No clinical trials performed. Analytical performance established via bench testing. Method comparison study (n=150) against comparator method showed Passing-Bablok regression y = 0.987x + 0.186 (R=0.990). Precision studies (n=240 per level) showed CV% between 2.5% and 2.9%. Linearity confirmed across 2.73-23.73 mg/dL. Interference testing identified specific compounds (e.g., Acetaminophen, Methyldopa, L-Ascorbic acid) requiring labeling limitations. Usability survey confirmed lay user adequacy.
Technological Characteristics
Amperometric sensing principle; measures current generated by uric acid oxidation. System includes meter, test strips, and control solution. Connectivity via USB. Software-controlled measurement.
Indications for Use
Indicated for quantitative measurement of uric acid in fresh capillary whole blood from fingertips in patients with gout to monitor treatment effectiveness. For single-patient home use by prescription only. Contraindicated for neonates and critically ill patients. Not for diagnosis of hyperuricemia or gout.
Regulatory Classification
Identification
A uric acid test system is a device intended to measure uric acid in serum, plasma, and urine. Measurements obtained by this device are used in the diagnosis and treatment of numerous renal and metabolic disorders, including renal failure, gout, leukemia, psoriasis, starvation or other wasting conditions, and of patients receiving cytotoxic drugs.
{0}
FDA
U.S. FOOD & DRUG
ADMINISTRATION
# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY
ASSAY AND INSTRUMENT
## I Background Information:
A 510(k) Number
K242209
B Applicant
Apex Biotechnology Corp
C Proprietary and Established Names
UASure II Blood Uric Acid Monitoring System
D Regulatory Information
| Product Code(s) | Classification | Regulation Section | Panel |
| --- | --- | --- | --- |
| PTC | Class I, reserved | 21 CFR 862.1775 - Uric Acid Test System | CH - Clinical Chemistry |
## II Submission/Device Overview:
A Purpose for Submission:
New Device
B Measurand:
Uric acid
C Type of Test:
Quantitative amperometric assay
## III Intended Use/Indications for Use:
Food and Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993-0002
www.fda.gov
{1}
K242209 - Page 2 of 10
A Intended Use(s):
See Indications for Use below.
B Indication(s) for Use:
The UASure II Blood Uric Acid Monitoring System is intended for automated and quantitative measurements of blood uric acid level in fresh capillary whole blood drawn from fingertips. It is intended for use outside the body (in vitro diagnostic use) by people with gout as an aid to monitor the effectiveness of uric acid control. The system is intended for singlepatient home use by prescription only and should not be shared.
The UASure II Blood Uric Acid Monitoring System is intended as an aid to monitor blood uric acid level, not to diagnose Hyperuricemia or Gout. The test results obtained from using the UASure II Blood Uric Acid Monitoring System should not be used as a basis to alter medications without first consulting with a physician or a healthcare professional.
The UASure II Blood Uric Acid Monitoring System includes UASure II Meter, UASure II Blood Uric Acid Test Strips, and UASure II Uric Acid Control Solution.
C Special Conditions for Use Statement(s):
Rx - For Prescription Use Only
The sponsor describes multiple limitations in their labeling including that the device should not be used if critically ill patients or on neonates. Additionally, the sponsor describes that the device is for single-patient home use by prescription and should not be shared.
D Special Instrument Requirements:
UASure II Meter
IV Device/System Characteristics:
A Device Description:
The UASure II Blood Uric Acid Monitoring System is intended for automated and quantitative measurements of blood uric acid level in fresh capillary whole blood drawn from fingertips. The system is for single-patient home use by prescription and should not be shared. The UASure II Blood Uric Acid Monitoring System consists of the UASure II Meter, UASure II Blood Uric Acid Test Strips, and UASure II Uric Acid Control Solution (Level 1 and Level 2). The UASure II Blood Uric Acid Monitoring System kits include a zippered carry case, a meter, user guide, test strips, lancets (K221570) and lancing device (K221970).
The UASure II Blood Uric Acid Test Strips and UASure II Uric Acid Control Solution can be purchased separately.
{2}
K242209 - Page 3 of 10
## B Principle of Operation:
The methodology for the UASure II Blood Uric Acid Monitoring System is amperometry. The uric acid in blood is oxidized and generates a current that can be quantified on the electrode. The current generated at the electrode is proportional to the uric acid concentration of the sample. By measuring the generated current, the concentration of uric acid in the sample is determined.
## C Instrument Description Information:
1. Instrument Name:
UASure II Meter
2. Specimen Identification:
There is no specimen identification function with this device. Samples are applied directly to the test strip, as they are collected without any identification data.
3. Specimen Sampling and Handling:
The uric acid test is intended to be used with fresh capillary whole blood from the finger. The whole blood sample is applied directly to the test strip; no handing procedure is required.
4. Calibration:
The system is calibrated by a code card provided in each box of test strip. The code card is inserted by the user into the meter code card port on the top of the meter. After inserting the code card, the user inserts a test strip to switch on the meter and then waits until the code number appears on the meter display.
5. Quality Control:
Recommendations relating to Quality Control procedures are described in the labeling. Customer should use UASure II uric acid control solution and the test results should fall within the control range printed on the test strip vial.
## V Substantial Equivalence Information:
### A Predicate Device Name(s):
Nova Max Uric Acid Monitoring System
### B Predicate 510(k) Number(s):
K160990
{3}
K242209 - Page 4 of 10
C Comparison with Predicate(s):
| Device & Predicate Device(s): | K242209 | K160990 |
| --- | --- | --- |
| Device Trade Name | UASure II Blood Uric Acid Monitoring System | Nova Max Uric Acid Monitoring System |
| General Device Characteristic Similarities | | |
| Intended Use/Indications For Use | Intended for the quantitative measurement of uric acid. | Same |
| Sample Type | Capillary whole blood obtained from the fingertip | Same |
| Use Environment | Prescription home use | Same |
| General Device Characteristic Differences | | |
| Methodology | Amperometry using an electrochemical biosensor | Amperometry using a uricase biosensor |
| Measuring Range | 3 - 20 mg/dL | 3 -18 mg/dL |
| Sample Volume | 1.5 μL | 1.2 μL |
| Hematocrit Range | 20 - 60 % | 20 - 65 % |
VI Standards/Guidance Documents Referenced:
Clinical and Laboratory Standards Institute (CLSI) EP05-A3 – Evaluation of Precision of Quantitative Measurement Procedures; Approved Guideline-Third Edition
CLSI EP17-A2: Evaluation of detection Capability for Clinical Laboratory Measurement Procedures; Approved Guideline—Second Edition
Clinical and Laboratory Standards Institute EP07-A3 – Interference Testing in Clinical Chemistry; Approved Guideline—Third Edition
IEC- 61010-1 Edition 3.1 2017-01 Consolidated version- Safety requirements for electrical equipment for measurement control and laboratory use - Part 1: General requirements
ISO 14971 Medical devices - Application of risk management to medical devices.
ISO- 15223-1 Fourth edition 2021 -07-Medical devices-Symbols to be used with information to be supplied by the manufacturer-Part1: General requirements.
IEC 62304 Medical device software - Software life cycle processes
{4}
VII Performance Characteristics (if/when applicable):
A Analytical Performance:
1. Precision/Reproducibility:
Precision Study:
The precision study was performed based upon recommendations in the CLSI EP05-A3 Guideline. The total precision was assessed using two levels of control solution. The samples were tested in 2 replicates per run, 2 runs per day for 20 days for a total of 240 measurements (2 replicates x 2 runs x 20 days x 3 lots) per level using three test strip lots and 2 meters. The results are summarized below:
| Control Solution | Level 1 | | Level 2 | |
| --- | --- | --- | --- | --- |
| Test Strip Lot | Mean (mg/dL) | CV% | Mean (mg/dL) | CV% |
| Lot 1 | 4.60 | 2.9% | 8.55 | 2.5% |
| Lot 2 | 4.57 | 2.8% | 8.57 | 2.5% |
| Lot 3 | 4.66 | 2.8% | 8.62 | 2.5% |
Repeatability Study:
Five venous blood samples were tested in one day using ten (10) UASure II meters with 10 replicates for each level on each meter using each strip lot. Three strip lots were used for the study for a total of 300 replicates (10 meters x 10 replicates x 3 strip lots) per concentration level. Results for a representative lot are summarized below:
| | Level 1 | Level 2 | Level 3 | Level 4 | Level 5 |
| --- | --- | --- | --- | --- | --- |
| Mean | 4.4 | 6.6 | 10.5 | 13.6 | 18.5 |
| SD | 0.2 | 0.2 | 0.2 | 0.4 | 0.5 |
| CV | 4.6% | 3.1% | 2.3% | 3.0% | 2.9% |
2. Linearity:
Linearity was evaluated using spiked venous whole blood samples with seven different uric acid levels ranging from 2.73-23.73 mg/dL. Three strip lots were used for the study and 20 replicates were run for each concentration level on each strip lot.
The results of the linearity study support the linear range of 2.73-23.73 mg/dL.
3. Analytical Specificity/Interference:
To assess potential interference, venous whole blood samples spiked to two uric acid concentration ranges (4 mg/dL and 9 mg/dL) were used. Each of these samples was divided into two groups: test group (2 level of interferents) and control group (blood without the interferent). The percent difference between the test samples and the control sample was
K242209 - Page 5 of 10
{5}
calculated. The sponsor defined no significant interference as $\leq 10\%$ difference between the test samples and the control samples.
If an interference effect exceeded the acceptance criterion, a dose-response evaluation was performed. A series of test samples $(n = 5)$ was prepared by mixing the sample containing the highest concentration of potentially interfering substance and control sample in different proportions.
No interference was observed with the following compounds at the concentrations listed:
| # | Interfering substances | Concentration (mg/dL) | # | Interfering substances | Concentration (mg/dL) |
| --- | --- | --- | --- | --- | --- |
| 1 | Ketoprofen | 10 | 7 | Triglycerides | 1500 |
| 2 | Diclofenac | 5 | 8 | Creatinine | 30 |
| 3 | Indomethacin | 10 | 9 | Warfarin | 20 |
| 4 | Allopurinol | 10 | 10 | Glucose | 1020 |
| 5 | Hemoglobin | 7500 | 11 | Cholesterol | 500 |
| 6 | Bilirubin, conjugated | 25 | 13 | Acetylsalicylic acid (Salicylate) | 60 |
The interferents that may affect test results are described below:
| # | Interfering substances | Interference concentration |
| --- | --- | --- |
| 4 | Acetaminophen | >1.0 mg/dL |
| 6 | Methyldopa | >0.1 mg/dL |
| 7 | L-Ascorbic acid | >10 mg/dL |
| 8 | Pyruvate | >1.5 mg/dL |
| 11 | Dopamine | >0.375 mg/dL |
| 12 | L-dopa | >0.35 mg/dL |
| 20 | Tolazamide | >9 mg/dL |
| 21 | Ibuprofen | >15 mg/dL |
The limitations section of the device's package insert and user manual explain that if users are taking Acetaminophen or Acetaminophen containing drugs (for example Tylenol, Panadol or certain prescription), and/or if users are taking Methyldopa for treatment of high blood pressure (hypertension), and/or if users are taking drugs contain L-Ascorbic acid, Dopamine, Pyruvate, L-dopa, Tolazamide or Ibuprofen, then they must not use the UASure II System to test their uric acid levels, because they may get inaccurate results with this system.
K242209 - Page 6 of 10
{6}
4. Assay Reportable Range:
The assay’s reportable range is 3 to 20 mg/dL.
5. Traceability, Stability, Expected Values (Controls, Calibrators, or Methods):
The system is traceable to commercially available method.
6. Detection Limit:
The sponsor conducted limit of blank (LoB), limit of detection (LoD) and limit of quantitation (LoQ) studies which support the claimed lower limit of 3 mg/dL.
7. Assay Cut-Off:
Not applicable.
8. Accuracy (Instrument):
Refer to method comparison study section under B.1.
9. Carry-Over:
Not applicable.
B Comparison Studies:
1. Method Comparison with Predicate Device:
A comparison study between the UASure II Blood Uric Acid Monitoring System and the comparator method was conducted using three different strip lots. A total 150 fresh fingertip capillary samples were tested by individuals ranging in age from 19-70 years. All testing was conducted per the instructions for use. The samples tested had uric acid values ranging from 3.03 to 19.84 mg/dL.
Heparinized plasma samples were collected from the individuals and were tested on the comparison method. The data were analyzed using Passing-Bablok regression, and the comparison of the candidate device (Y-axis) with the comparator device (X-axis) are summarized below:
Passing-Bablok: y = 0.987x + 0.186, R = 0.990
2. Usability Survey:
The lay users were surveyed after the study by means of a questionnaire on the usability of the UASure II Blood Uric Acid Monitoring System and the instructions for use. The questionnaire included user responses regarding ease of use of the system and clarity of the user instructions. The survey results demonstrated that lay users found the system and instructions to be adequate.
K242209 - Page 7 of 10
{7}
K242209 - Page 8 of 10
3. **Readability Assessment:**
A Flesch-Kinkaid reading level assessment was conducted by the sponsor which demonstrated that the meter user manual and test strip product inserts were written at or below an 8th grade reading level.
4. **Matrix Comparison:**
Not applicable.
C **Clinical Studies:**
1. **Clinical Sensitivity:**
Not applicable.
2. **Clinical Specificity:**
Not applicable.
3. **Other Clinical Supportive Data (When 1. and 2. Are Not Applicable):**
Not applicable.
D **Clinical Cut-Off:**
Not applicable.
E **Expected Values/Reference Range:**
The sponsor provided the following information in their labeling.
Normal Blood Uric Acid Readings
Male: 4.0~8.5 mg/dL (238~506 μmol/L)
Female: 2.7~7.3 mg/dL (161~434 μmol/L)
The healthcare professionals will assist users in establishing target ranges for the user and deciding when and how often to test.
F **Other Supportive Instrument Performance Characteristics Data:**
1. **Sample Volume Study:**
The nominal fill volume indicated by the labeling of the device is 1.5 μL of capillary whole blood. A study was performed to determine the minimum fill volume of the test strip. Three whole blood samples spiked to different uric acid concentrations (4.26, 9.55, and 18.98 mg/dL) were tested on three strip lots using one uric acid meter. Different volumes of whole blood were added to the test strips to determine the minimum volume to trigger the device to take a reading. 0.8, 1.0, 1.5, 2.0, 2.5, 3.0 μL were tested with three different lots of test strips. The sponsor provided validation studies demonstrating that with blood volumes below 1.5 μL, the
{8}
instrument either does not give a result or generates the insufficient sample volume error message.
2. Hematocrit Study:
Three different test strip lots were analyzed at eight different hematocrit levels (20, 25, 30, 35, 43, 50, 55, and 60%) using five venous whole blood samples spiked with uric acid (4.0, 7.6, 10.7, 13.7, and 18.6 mg/dL) on ten different meters. The results were compared to results obtained using the comparator device. The performance of the three lots of test strips demonstrates that the hematocrit levels tested did not affect the performance of the uric acid system. These data support the UASure II Blood Uric Acid Monitoring System's claimed hematocrit range of 20%-60%.
3. Altitude Study:
Ten different meters with venous whole blood samples spiked with uric acid (4.37, 8.12, 10.92, 15.8, and 19.23 mg/dL) were tested at sea level and 3,150 meters (10,335 feet). The results obtained were compared to the comparator device. The provided data support their claims that the system can be used up to altitudes of 10,335 feet (3,150 meters).
4. Test System Operating Conditions – humidity and temperature:
Three different test strip lots were analyzed at combinations of five temperatures (10, 20, 25, 30, 38, ± 2°C) and three humidity (20, 50, and 85%) conditions on ten different meters using four whole blood samples spiked with uric acid (4.7, 9.1, 14.22, and 18.2 mg/dL). The results were compared to results obtained using the comparator device. The uric acid control solutions were also evaluated at the same conditions as the test samples. The provided data support their claims that the meter and the test strips can be used within 50°F~100°F (10°C~38°C) and 20%~85% relative humidity.
5. Pre and Post Cleaning and Disinfection Precision and Accuracy Study:
The UASure II Blood Uric Acid Monitoring System is intended for single-patient use only. Robustness studies were performed by the sponsor demonstrating that there was no change in performance or in external materials of the meters after 1825 cleaning and disinfection cycles with Clorox Healthcare Bleach Germicidal wipes. The robustness studies were designed to simulate 5 years of single patient device use. Labeling was reviewed for adequate instructions for the validated cleaning and disinfection procedures.
6. Disinfection Efficacy/Infection Control Study:
The materials used for manufacturing the UASure II Meters are the same as those used in the AutoSure HT meter (K131750) except for color. The sponsor is leveraging the viral inactivation testing data generated for the AutoSure HT meter (K131750) using Clorox Healthcare Bleach Germicidal wipes (EPA Reg# 67619-12).
K242209 - Page 9 of 10
{9}
VIII Proposed Labeling:
The labeling supports the finding of substantial equivalence for this device.
IX Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
K242209 - Page 10 of 10
Predicate graph will load when search results are available.
Embedding visualization will load when search results are available.
PDF viewer will load when search results are available.
Loading panels...
Select an item from Submissions
Click any panel, subpart, regulation, product code, or device to see details here.
Section Matches
Results will appear here.
Product Code Matches
Results will appear here.
Special Control Matches
Results will appear here.
Loading collections...
Loading
My Alerts
You will receive email notifications based on the filters and frequency you set for each alert.
Sort by:
Create Alert
Search Filters
Agent Token
Create a read-only bearer token for Claude, ChatGPT, or other agents that can call HTTP APIs.
Copy this now. It will not be shown again.
Connected apps
Apps you authorized through browser sign-in. Disconnecting revokes their access immediately.
Learn the FDA Browser
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.