The ACON™ U120 Urine Analyzer is intended for use in conjunction with the ACON Urinalysis Reagent Strips for the semi-quantitative detection of the following analytes in urine: Glucose, Bilirubin, Ketone (Acetoacetic acid), Specific Gravity, pH, Blood, Protein, Urobilinogen, Leukocytes and Ascorbic Acid as well as the qualitative detection of Nitrite. The instrument is intended for professional, in vitro diagnostic use only. The measurement can be used in general evaluation of health, and aids in the diagnosis and monitoring of metabolic or systemic diseases that affect kidney function, endocrine disorders and diseases or disorders of the urinary tract.
Device Story
The ACON™ U120 Urine Analyzer is a reflectance photometer used in professional clinical settings. It processes urine samples applied to ACON Urinalysis Reagent Strips. The device uses an LED light source and a photosensitive diode sensor to measure the intensity and color of light reflected from the reagent areas of the strip after a one-minute incubation. The analyzer operates in single or continuous test modes, providing semi-quantitative or qualitative results for 11 analytes. Results are displayed on an LCD, printed via an internal printer, or transmitted via an RS-232C port. The device aids healthcare providers in evaluating general health and monitoring metabolic or urinary tract conditions. Calibration is performed automatically using a white calibration circle on the strip holder.
Clinical Evidence
No clinical data. Performance was established via bench testing, including precision/reproducibility studies (n=900 per analyte), sensitivity validation (n=135 per analyte), and method comparison studies against the predicate device using patient samples and spiked samples across the reportable range for each analyte.
Technological Characteristics
Reflectance photometer; photosensitive diode detection; RS232C and 25-pin parallel ports; internal heat-sensitive printer; 220V/110V AC power; dimensions 27.1 x 26.5 x 14.8 cm; weight 2.6 kg. Operates 0-40°C.
Indications for Use
Indicated for professional, in vitro diagnostic use to detect analytes in urine (Glucose, Bilirubin, Ketone, Specific Gravity, pH, Blood, Protein, Urobilinogen, Leukocytes, Ascorbic Acid, Nitrite) for health evaluation and monitoring of metabolic, systemic, kidney, endocrine, or urinary tract diseases.
Regulatory Classification
Identification
An automated urinalysis system is a device intended to measure certain of the physical properties and chemical constituents of urine by procedures that duplicate manual urinalysis systems. This device is used in conjunction with certain materials to measure a variety of urinary analytes.
Predicate Devices
Bayer Clinitek Status Urine Chemistry Analyzer (k031947)
Submission Summary (Full Text)
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY AND INSTRUMENT COMBINATION TEMPLATE
A. 510(k) Number:
k070929
B. Purpose for Submission:
New submission for the ACON™ U120 Urine Analyzer for the use with ACON Laboratories previously cleared urine strips, ACON Urinalysis Reagent Strips k061559.
C. Measurand:
Glucose, Blood, Leukocytes, Specific Gravity, pH, Nitrite, Protein, Ketone, Urobilinogen, Ascorbic Acid and Bilirubin in urine
D. Type of Test:
Qualitative
E. Applicant:
ACON Laboratories, Inc.
F. Proprietary and Established Names:
ACON™ U120 Urine Analyzer
G. Regulatory Information:
1. Regulation section:
21 CFR § 862.2900 Automated urinalysis system
21 CFR § 862.1340 Urinary glucose (nonquantitative) test system
21 CFR § 864.6550 Occult blood test
21 CFR § 864.7675 Leukocyte peroxidase test
21 CFR § 862.2800 Refractometer for clinical use
21 CFR § 862.1550 Urinary pH (nonquantitative) test system
21 CFR § 862.1510 Nitrite (nonquantitative) test system
21 CFR § 862.1645 Urinary protein or albumin (nonquantitative) test system
21 CFR § 862.1435 Ketones (nonquantitative) test system
21 CFR § 862.1785 Urinary urobilinogen (nonquantitative) test system
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21 CFR § 862.1115 Urinary bilirubin and its conjugates (nonquantitative) test system
21 CFR § 862.1095 Ascorbic Acid test system
2. Classification:
Class II; Urinary glucose (nonquantitative) test system and Occult blood test
Class I; Leukocyte peroxidase test, Refractometer for clinical use, Urinary pH (nonquantitative) test system, Nitrite (nonquantitative) test system, Urinary protein or albumin (nonquantitative) test system, Ketones (nonquantitative) test system, Urinary urobilinogen (nonquantitative) test system and Urinary bilirubin and its conjugates (nonquantitative) test system, Automated urinalysis system and Ascorbic Acid test system
3. Product code:
KQO, JIL, JIO, LJX, JRE, CEN, JMT, JIR, JIN, CDM. JJB AND JMA, respectively
4. Panel:
75 Chemistry and 81 Hematology
H. Intended Use:
1. Intended use(s):
See Indications for use below.
2. Indication(s) for use:
The ACON™ U120 Urine Analyzer is intended for use in conjunction with the ACON Urinalysis Reagent Strips for the semi-quantitative detection of the following analytes in urine: Glucose, Bilirubin, Ketone (Acetoacetic acid), Specific Gravity, pH, Blood, Protein, Urobilinogen, Leukocytes and Ascorbic Acid as well as the qualitative detection of Nitrite. The instrument is intended for professional, in vitro diagnostic use only. The measurement can be used in general evaluation of health, and aids in the diagnosis and monitoring of metabolic or systemic diseases that affect kidney function, endocrine disorders and diseases or disorders of the urinary tract.
3. Special conditions for use statement(s):
For prescription use only
4. Special instrument requirements:
ACON™ U120 Urine Analyzer
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I. Device Description:
The analyzer is composed of an internal Processor with memory, mechanical unit, liquid crystal display (LCD), photoelectric scanning unit, power system, keyboard, 25 pin parallel external printer port, internal printer and standard RS-232C port.
J. Substantial Equivalence Information:
1. Predicate device name(s):
Bayer Clinitek Status Urine Chemistry Analyzer, Bayer Healthcare, LLC
2. Predicate 510(k) number(s):
k031947
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Specimen | Urine | Same |
| Methodology | Reflectance Photometer | Same |
| Strip Incubation Time | 1 minute | Same |
| Line Leakage Current | <0.5 mA | Same |
| Differences | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Parameters Detected | Leukocytes, Nitrite, Blood (Occult), Glucose, Protein, Ketone, Specific Gravity, pH, Bilirubin, Urobilinogen and Ascorbic Acid | Leukocytes, Nitrite, Blood (Occult), Glucose, Albumin, Protein, Creatinine, Ketone, Specific Gravity, pH, Bilirubin, Urobilinogen and hCG |
| Strips or Cassette to be Used | ACON Urinalysis Reagent Strips | Bayer Urinalysis Strips or hCG Cassette |
| Detection | Photosensitive diode | CCD |
| Throughput | Single Test Mode: 40 tests/hour, Continuous Test Mode: 120 test/hour | 60 test/hour |
| Memory | Last 500 results | 200 results |
K. Standard/Guidance Document Referenced (if applicable):
IE/CEN 61326
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L. Test Principle:
The U120 Urine Analyzer is a reflectance photometer that analyzes the intensity and color of light reflected from the reagent areas of a urinalysis reagent strip. Using a light emitting diode (LED) as the light source and a photodiode as a light sensor, the optical system reads the color change in the urine test strips after a sample is applied.
M. Performance Characteristics (if/when applicable):
1. Analytical performance:
a. Precision/Reproducibility:
The precision evaluation included 10 replications on two levels of controls, using three instruments and three lot numbers. The contingency table 2x2 is applied to evaluate the total agreement, in term of percentage, on each parameter. The expected values of the control material were used to determine the agreement between the samples.
| Urine analyte | Expected values
Control level I and II | Expected result(s)
determined by
Comparator Method | Acon U120 results | % Agreement
with expected results | n |
| --- | --- | --- | --- | --- | --- |
| GLU | Neg | Negative | Negative | 100 | 900 |
| GLU | 250 - ≥ 2000 | 500 | 500 | 100 | 900 |
| BILI | Neg | Negative | Negative | 100 | 900 |
| BILI | Mod. - Large | Large | Large | 100 | 900 |
| KET | Neg | Negative | Negative | 100 | 900 |
| KET | 5 – 40 | 40 | 15 | 100 within 1
color block | 900 |
| SG | 1.010 - 1.020 | 1.020 | 1.020 | 100 | 900 |
| SG | 1.015 – 1.025 | 1.015 | 1.015 | 100 | 900 |
| BLO | Neg | Negative | Negative | 100 | 900 |
| BLO | Mod. - Large | Large | Large | 100 | 900 |
| pH | 5.0 – 6.0 | 5.0 | 5.0 | 100 | 900 |
| pH | 6.5 – 7.5 | 7.0 | 7.0 | 100 | 900 |
| PRO | Neg | Negative | Negative | 100 | 900 |
| PRO | 30 - ≥ 300 | 300 | 300 | 100 | 900 |
| URO | 0.2 – 1.0 | 0.2 | 0.2 | 100 | 900 |
| URO | 4.0 – 8.0 | 8.0 | 8.0 | 100 | 900 |
| NIT | Neg | Negative | Negative | 100 | 900 |
| NIT | Positive | Positive | Positive | 100 | 900 |
| LEU | Neg | Negative | Negative | 100 | 900 |
| LEU | Small - Large | Large | Large | 100 | 900 |
| ASC | Neg | Negative | Negative | 100 | 900 |
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The urinalysis controls did not contain ascorbic acid; the sponsor used one ascorbic acid standard positive solution, 20 mg/dL. Test was performed as above.
| Urine analyte | Expected values
Ascorbic Acid Standard | Expected result(s) determined by
Comparator Method | Acon U120 results | % Agreement with expected results | n |
| --- | --- | --- | --- | --- | --- |
| ASC | 20 | N/A | 20 | 100 | 900 |
b. Linearity/assay reportable range:
See the Method Comparison section 2.a below
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
Previously cleared k061559
d. Detection limit:
The sensitivity of the assay when read by the ACON U120 Urine Analyzer was validated by spiking positive urine samples of known concentrations for each analyte. These positive samples of each analyte were then diluted to the lowest "positive" concentrations indicated on the ACON color chart. For each analyte, aliquots of the lowest positive samples were further diluted to 80%, 60% of the originals with negative urine. Each urine sample was tested with three lots of the ACON Urinalysis Reagent Strips on three analyzers. For three consecutive days, each sample was tested 15 times per day. A total of 135 strips were used for each concentration tested (3 analyzers x 3 days x 5 strips x 3 lots = 135 strips). The minimum sensitivity level for each analyte of the ACON Urinalysis Reagent Strips when read by the analyzer is defined by the sponsor as the lowest level at which over 55% of the test results are positive when the diluted positive samples for an analyte of known concentrations were tested. The results of each analyte sensitivity pad are summarized below.
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| Analyte | Detection Range of ACON U120 Urine Analyzer | Minimum Sensitivity |
| --- | --- | --- |
| Glucose | 0, 100, 250, 500 &1,000 mg/dL | 80 mg/dL |
| Bilirubin | 0, 1, 2 & 4 mg/dL | 0.8 mg/dL |
| Ketone | 0, 5, 15, 40 & 80 mg/dL | 4 mg/dL |
| Blood | 0, 10, 25, 80 & 200 Cells/μL | 5 Cells/μL |
| Protein | 0, 15, 30, 100 & 300 mg/dL | 12 mg/dL |
| Urobilinogen | 0.2, 1, 2, 4 & 8 mg/dL | 0.8 mg/dL |
| Nitrite | Negative, Positive | 0.05 mg/dL |
| Leukocyte | 0, 15, 70, 125 & 500 Cells/μL | 12 Cells/μL |
| Ascorbic Acid | 0, 10, 20 & 40 mg/dL | 8 mg/dL |
| pH | 5, 5.5, 6, 6.5, 7.0, 7.5, 8.0, 8.5 & 9.0 | 5 |
| Specific Gravity | 1.000, 1.005, 1.010, 1.015, 1.020, 1.025 & 1.030 | 1.000 |
e. Analytical specificity:
Previously cleared k061559
f. Assay cut-off:
See detection limit section M.1.d above
# 2. Comparison studies:
a. Method comparison with predicate device:
Patient samples were tested in three Point of Care settings on both the Acon U120 analyzer and Bayer Clinitek Status using the respective reagent strips for each system. Spiked samples covering the range of each analyte were tested in-house by the sponsor.
Glucose:
| U120 | ≥1,000 | 500 | 250 | 100 | 0 (Neg) |
| --- | --- | --- | --- | --- | --- |
| Predicate | | | | | |
| ≥1,000 | 45 | | | | |
| 500 | | 43 | 3 | | |
| 250 | | | 41 | 4 | |
| 100 | | | | 47 | 2 |
| 0 (Neg) | | | 1 | 5 | 163 |
| Total | 45 | 43 | 45 | 56 | 165 |
| % Agreement (Exactly Match) | 100 | 100 | 91 | 84 | 99 |
| % Agreement (±1 Color Block) | 100 | 100 | 98 | 100 | 100 |
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Bilirubin:
| U120 | 4 (+++) | 2 (++) | 1 (+) | 0 (Neg) |
| --- | --- | --- | --- | --- |
| Predicate | | | | |
| +++ | 44 | 1 | | |
| ++ | | 44 | 3 | 1 |
| + | | | 46 | 10 |
| 0 (Neg) | | 1 | 4 | 155 |
| Total | 44 | 46 | 53 | 166 |
| % Agreement (Exactly Match) | 100 | 96 | 87 | 93 |
| % Agreement (±1 Color Block) | 100 | 98 | 100 | 99 |
Ketone:
| U120 | 80 | 40 | 15 | 5 | 0 (Neg) |
| --- | --- | --- | --- | --- | --- |
| Predicate | | | | | |
| 80 | 45 | 1 | | | |
| 40 | | 45 | | | |
| 15 | | | 43 | 6 | |
| 5 | | | | 55 | 13 |
| 0 (Neg) | | | | 5 | 141 |
| Total | 45 | 46 | 43 | 66 | 154 |
| % Agreement (Exactly Match) | 100 | 98 | 100 | 83 | 92 |
| % Agreement (±1 Color Block) | 100 | 100 | 100 | 100 | 100 |
SG:
| U120 | 1.030 | 1.025 | 1.020 | 1.015 | 1.010 | 1.005 | 1.000 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Predicate | | | | | | | |
| 1.030 | 85 | 4 | | | | | |
| 1.025 | 7 | 59 | 2 | 2 | | | |
| 1.020 | 5 | 14 | 50 | 6 | 1 | | |
| 1.015 | | 5 | 4 | 53 | 1 | | |
| 1.010 | | | 3 | 3 | 45 | 1 | |
| ≤1.005 | | | | | 4 | 45 | 45 |
| Total | 97 | 82 | 59 | 64 | 51 | 46 | 45 |
| % Agreement (Exactly Match) | 88 | 72 | 85 | 83 | 88 | 98 | 100 |
| % Agreement (±1 Color Block) | 95 | 94 | 95 | 97 | 98 | 100 | 100 |
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Blood:
| U120 | +++ | ++ | + | +/- | 0 (Neg) |
| --- | --- | --- | --- | --- | --- |
| Predicate | | | | | |
| +++ | 48 | 1 | | | |
| ++ | | 47 | | | 1 |
| + | | 4 | 48 | 3 | 1 |
| +/- | | | 1 | 49 | 19 |
| 0 (Neg) | | | | | 132 |
| Total | 48 | 52 | 49 | 52 | 153 |
| % Agreement (Exactly Match) | 100 | 90 | 98 | 94 | 86 |
| % Agreement (±1 Color Block) | 100 | 100 | 100 | 100 | 99 |
pH:
| U120 | 9.0 | 8.5 | 8.0 | 7.5 | 7.0 | 6.5 | 6.0 | ≤5.5 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Predicate | | | | | | | | |
| 8.5 | 45* | 43 | 3 | 1 | | | | |
| 8.0 | | | 42 | 3 | 1 | 1 | | |
| 7.5 | | | 1 | 47 | 2 | | | 1 |
| 7.0 | | | | 1 | 51 | 6 | 1 | 5 |
| 6.5 | | | | | 1 | 42 | 4 | 7 |
| 6.0 | | | 1 | | | | 45 | 22 |
| ≤5.5 | | | | | | 2 | 1 | 110 |
| Total | 45 | 43 | 47 | 52 | 55 | 51 | 51 | 145 |
| % Agreement (Exactly Match) | 100 | 100 | 89 | 90 | 93 | 82 | 88 | 76 |
| % Agreement (±1 Color Block) | 100 | 100 | 98 | 98 | 98 | 94 | 98 | 91 |
*The highest pH detection range of the predicate, Bayer Clinitek Analyzer, is 8.5.
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Protein:
| U120 | ≥300 | 100 | 30 | 15 | 0 (Neg) |
| --- | --- | --- | --- | --- | --- |
| Predicate | | | | | |
| ≥300 | 47 | | | | |
| 100 | 1 | 45 | 4 | | |
| 30 | | | 46 | 11 | 8 |
| 15 | | | 1 | 51 | 12 |
| 0 (Neg) | | | | 6 | 122 |
| Total | 48 | 45 | 51 | 68 | 142 |
| % Agreement (Exactly Match) | 98 | 100 | 90 | 75 | 86 |
| % Agreement (±1 Color Block) | 100 | 100 | 100 | 100 | 94 |
Urobilinogen:
| U120 | 8 | 4 | 2 | 1 | 0 (Neg) |
| --- | --- | --- | --- | --- | --- |
| Predicate | | | | | |
| 8 | 45 | | | | |
| 4 | | 45 | | | |
| 2 | | 6 | 39 | | |
| 1 | | | | 41 | 11 |
| 0 (Neg) | | | | 2 | 165 |
| Total | 45 | 51 | 39 | 43 | 176 |
| % Agreement (Exactly Match) | 100 | 88 | 100 | 95 | 94 |
| % Agreement (±1 Color Block) | 100 | 100 | 100 | 100 | 100 |
Nitrite:
| U120 | Positive | Negative |
| --- | --- | --- |
| Predicate | | |
| Positive | 137 | 5 |
| Negative | 1 | 166 |
| Total | 138 | 171 |
| % Agreement (Exactly Match) | 99 | 97 |
| % Agreement (±1 Color Block) | 100 | 100 |
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Leukocyte:
| U120 | 500 | 125 | 70 | 15 | 0 (Neg) |
| --- | --- | --- | --- | --- | --- |
| Predicate | | | | | |
| 500 (+++) | 48 | | | | |
| 125 (++) | | 45 | | | |
| 70 (+) | | 1 | 46 | 1 | |
| 15 (Trace) | | 1 | 2 | 51 | 4 |
| 0 (Neg) | | | 1 | 10 | 144 |
| Total | 48 | 47 | 49 | 62 | 148 |
| % Agreement (Exactly Match) | 100 | 96 | 94 | 82 | 97 |
| % Agreement (±1 Color Block) | 100 | 98 | 98 | 100 | 100 |
b. Matrix comparison:
Not applicable. The device is only intended for measurements with urine samples.
3. Clinical studies:
a. Clinical Sensitivity:
Not applicable
b. Clinical specificity:
Not applicable
c. Other clinical supportive data (when a. and b. are not applicable):
Not applicable
4. Clinical cut-off:
Not applicable
5. Expected values/Reference range:
Previously cleared k061559
N. Instrument Name:
Acon U120 Urine Analyzer
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O. System Descriptions:
1. Modes of Operation:
Single and continuous testing mode
2. Software:
FDA has reviewed applicant’s Hazard Analysis and software development processes for this line of product types:
Yes ☐ X or No ☐
3. Specimen Identification:
Manual Patient ID entry
4. Specimen Sampling and Handling:
Single Step or Continuous Test Modes the strip is manual dip and the strip is place on the strip holder.
5. Calibration:
The reflectance of the white calibration circle located on the top of the strip holder is tested when the instrument is first turned on and with each test strip.
6. Quality Control:
Recommendations for testing quality control are provided in the labeling as follows: users should follow federal, state and local requirements for quality control testing.
P. Other Supportive Instrument Performance Characteristics Data Not Covered In The "Performance Characteristics" Section above:
Q. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Part 809.10.
R. Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
11
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.