The Stat Profile Prime Plus Analyzer System is intended for use by healthcare professionals in clinical laboratory settings for quantitative determination of pH, partial pressure of carbon dioxide (pCO₂), and partial pressure of oxygen (pO₂) in heparinized arterial and venous whole blood. pH, pCO₂, pO₂ - Measurements are used in the diagnosis and treatment of life-threatening acid base disturbances.
Device Story
Stat Profile Prime Plus Analyzer is a blood gas analyzer for hospital laboratory use. It accepts lithium heparinized arterial/venous whole blood samples (135 uL) via syringes or small cups. The device utilizes sensor cartridges (primary/auxiliary) to measure pH (potentiometric), pCO2 (modified pH sensor), and pO2 (amperometric). It features an onboard Quality Management System (QMS) for continuous monitoring. The system includes a 10.1-inch color touch screen, barcode scanner, and thermal printer. Healthcare professionals operate the device to obtain quantitative results, which are used to diagnose and treat life-threatening acid-base disturbances. The system architecture and user interface are based on the Stat Profile Prime CCS Analyzer (K131703).
Clinical Evidence
Bench testing only. Precision/reproducibility assessed using QC materials and whole blood (n=20 replicates). Linearity evaluated across claimed ranges (pH 6.5-8.0; pCO₂ 3.0-200.0 mmHg; pO₂ 5.0-765.0 mmHg) with r > 0.99. Method comparison against predicate (n=204-210 samples) showed high correlation (r > 0.99). Interference testing confirmed no significant impact from common substances (e.g., bilirubin, hemoglobin, lipids).
Technological Characteristics
Benchtop analyzer; potentiometric (hydrogen ion-selective glass) and amperometric (Clark-type) sensors. Uses replaceable sensor cartridges and calibrator packs. Connectivity via data transmission to external systems (non-wireless). Electrical safety per IEC 61010-1 and IEC 61010-2-101. Automated calibration and quality control sequences.
Indications for Use
Indicated for healthcare professionals in clinical laboratory settings for quantitative determination of pH, pCO₂, and pO₂ in heparinized arterial and venous whole blood for the diagnosis and treatment of acid-base disturbances. Not for point-of-care use.
Regulatory Classification
Identification
A blood gases (PCO2 , PO2 ) and blood pH test system is a device intended to measure certain gases in blood, serum, plasma or pH of blood, serum, and plasma. Measurements of blood gases (PCO2 , PO2 ) and blood pH are used in the diagnosis and treatment of life-threatening acid-base disturbances.
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510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY AND INSTRUMENT COMBINATION TEMPLATE
A. 510(k) Number:
k173797
B. Purpose for Submission:
New device
C. Measurands:
pCO₂, pO₂ and pH
D. Type of Test:
pH and pCO₂ – quantitative, potentiometry
pO₂ – quantitative, amperometric
E. Applicant:
Nova Biomedical Corporation
F. Proprietary and Established Names:
Stat Profile Prime Plus Analyzer System
G. Regulatory Information:
| Regulation section | Classification | Product code | Panel |
| --- | --- | --- | --- |
| 21 CFR § 862.1120 Blood gases (pCO₂, pO₂) and blood pH test system | Class II | CHL | Clinical Chemistry (75) |
H. Intended Use:
1. Intended use(s):
See Indication(s) for Use below
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2. Indication(s) for use:
The Stat Profile Prime Plus Analyzer System is intended for use by healthcare professionals in clinical laboratory settings for quantitative determination of pH, partial pressure of carbon dioxide (pCO₂), and partial pressure of oxygen (pO₂) in heparinized arterial and venous whole blood.
pH, pCO₂, pO₂ - Measurements are used in the diagnosis and treatment of life-threatening acid base disturbances.
3. Special conditions for use statement(s):
Not for point of care use.
4. Special instrument requirements:
Stat Profile Prime Plus Analyzer System
I. Device Description:
The Stat Profile Prime Plus Analyzer System is designed to be a used in clinical laboratory settings. It consists of the analyzer, sensor cartridges, calibrator packs, auto-cartridge quality control packs (internal controls), ampiled quality control materials (external controls) and thermal paper for an onboard printer. Specimens may be identified by scanning a barcode or by manually entering the information via the touchscreen.
The Stat Profile Prime Plus Analyzer has slots to accommodate two sensor cartridges (Primary and Auxiliary). The analyzer will determine the configuration of the system by detecting which sensor cards are installed. The reporting of CO-Oximeter parameters (or not reporting them) will also be determined by the selection of the Sensor Cards, for which there are two options:
- Primary Sensor Card 1 reports the following analytes: pO₂, pCO₂, pH, Hct, tHb, Na, Cl, K, iCa, iMg, Glu, SO₂, O₂Hb, COHb, MetHb, HHb, tBil, HbF
- Primary Sensor Card 2 reports the following analytes: pO₂, pCO₂, pH, Hct, tHb, Na, Cl, K, iCa, iMg, Glu, SO₂
J. Substantial Equivalence Information:
1. Predicate device name(s):
Nova Biomedical Stat Profile pHOx Ultra Analyzer System
2. Predicate 510(k) number(s):
k110648
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3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Candidate Device - Stat Profile Prime Plus Analyzer (k173797) | Predicate Device - Nova Biomedical Stat Profile pHOx Ultra Analyzer (k110648) |
| Indications for Use | For use by healthcare professionals in clinical laboratory settings for quantitative determination of pH, partial pressure of carbon dioxide, and partial pressure of oxygen in heparinized arterial and venous whole blood. | Same |
| Measuring Range - pH | 6.500 – 8.000 | Same |
| Measuring Range - pCO2 | 3.0 to 200.0 mm Hg | Same |
| Measurement Principle - pH | Hydrogen ion-selective glass sensor | Same |
| Measurement Principle - pCO2 | Severinghaus-type sensor | Same |
| Measurement Principle - pO2 | Polarographic Clark-type sensor | Same |
| Touch Screen | Yes | Same |
| Differences | | |
| --- | --- | --- |
| Item | Candidate Device - Stat Profile Prime Plus Analyzer (k173797) | Predicate Device - Stat Profile pHOx Ultra Analyzer (k110648) |
| Acceptable sample types | Lithium heparin whole blood from syringes, open tubes, small cups, and capillary tubes. | Sodium or lithium heparinized whole blood, serum, or plasma samples from syringes, open tubes, small cups, and capillary tubes. |
| Sample Volume | 135μL | 60 – 200 μL (dependent on panel selected) |
| Measuring Range – PO2 | 5.0 – 765 mm Hg | 0 – 800 mm Hg |
K. Standard/Guidance Document Referenced (if applicable):
- IEC 61010-1:2010 Safety requirements for electrical equipment for measurement, control, and laboratory use - Part 1: Gen. reqmnts.
- IEC 61010-2-101:2015 - Particular requirements for in vitro diagnostic (IVD) medical equipment.
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L. Test Principle:
pH: pH is measured using a hydrogen ion selective glass membrane. One side of the glass is in contact with a solution of constant pH. The other side is in contact with a solution of unknown pH. A change in potential develops which is proportional to the pH difference of these solutions. This change in potential is measured against a reference electrode of constant potential. The magnitude of the potential difference is a measure of the pH of the unknown sample.
pCO₂: pCO₂ is measured with a modified pH sensor. Carbon dioxide in the sample makes contact with a gas permeable membrane mounted on a combination measuring/ reference electrode. CO₂ diffuses across the membrane into a thin layer of electrolyte solution in response to partial pressure difference. This solution then becomes equilibrated with the external gas pressure. CO₂ in the solution becomes hydrated producing carbonic acid, which results in a change in hydrogen ion activity, according to the equation:
$$
\mathrm{CO}_{2} + \mathrm{H}_{2}\mathrm{O} \rightleftharpoons \mathrm{H}_{2}\mathrm{CO}_{3} \rightleftharpoons \mathrm{H}^{+} + [\mathrm{HCO}_{3}^{-}]
$$
The electrolyte solution behind the membrane is in contact with a glass hydrogen ion selective sensor. The change in hydrogen ion activity in the electrolyte solution produces a potential which is measured against the internal filling solution. This change in potential is measured against the constant potential of the reference electrode half cell and is logarithmically related to the pCO₂ of the unknown sample.
pO₂: pO₂ is measured amperometrically by the generation of a current at the sensor surface. As oxygen diffuses through a gas permeable membrane, the oxygen molecules are reduced at the cathode, consuming 4 electrons for every molecule of oxygen reduced. This flow of electrons is then measured by the sensor and is directly proportional to the partial pressure of oxygen in the sample.
M. Performance Characteristics (if/when applicable):
1. Analytical performance:
a. Precision/Reproducibility:
Within run and between analyzer precision was assessed by analyzing QC materials and whole blood samples in replicates of 20 on each of three analyzers. Results are summarized below.
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# Internal Quality Control within - run results:
All three analyzers yielded similar results. The results of one representative analyzer are summarized in the table below.
| Within-Run Precision | | | | |
| --- | --- | --- | --- | --- |
| Parameter | n = 20 | Control Level 1 | Control Level 2 | Control Level 3 |
| pH (pH units) | Mean | 7.175 | 7.391 | 7.598 |
| | SD | 0.001 | 0.001 | 0.001 |
| pCO2 (mmHg) | Mean | 63.0 | 41.8 | 20.4 |
| | SD | 0.7 | 0.1 | 0.3 |
| | CV% | 1.1 | 0.2 | 1.3 |
| pO2 (mmHg) | Mean | 57.9 | 90.7 | 135.0 |
| | SD | 0.7 | 0.5 | 0.3 |
| | CV% | 1.2 | 0.5 | 0.2 |
External Quality Control within-run results:
| Within-Run Precision | | | | |
| --- | --- | --- | --- | --- |
| Parameter | n = 20 | Control Level 1 | Control Level 2 | Control Level 3 |
| pH (pH units) | Mean | 7.159 | 7.386 | 7.560 |
| | SD | 0.003 | 0.001 | 0.002 |
| pCO2 (mmHg) | Mean | 47.9 | 39.9 | 21.6 |
| | SD | 0.6 | 0.2 | 0.1 |
| | CV% | 1.3 | 0.5 | 0.4 |
| pO2 (mmHg) | Mean | 63.1 | 105.6 | 141.1 |
| | SD | 1.1 | 1.3 | 1.6 |
| | CV% | 1.7 | 1.2 | 1.1 |
# Within - run precision using whole blood:
All three analyzers yielded similar results. The results from one representative analyzer are summarized in the tables below. Note: the samples below were selected to evaluate a specific parameter over a specific range, so all three parameters were not evaluated on all samples.
| pH, (n=20) | | |
| --- | --- | --- |
| Sample | Mean | SD |
| Sample 1 | 7.328 | 0.002 |
| Sample 2 | 7.319 | 0.002 |
| Sample 3 | 7.702 | 0.005 |
| Sample 5 | 7.134 | 0.004 |
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| pCO2, mmHg (n=20) | | | |
| --- | --- | --- | --- |
| Sample | Mean | SD | %CV |
| Sample 1 | 44.0 | 0.8 | 1.7 |
| Sample 2 | 50.4 | 1.0 | 2.0 |
| Sample 4 | 16.6 | 0.2 | 1.9 |
| Sample 5 | 78.8 | 1.1 | 1.4 |
| pO2, mmHg (n=20) | | | |
| --- | --- | --- | --- |
| Sample | Mean | SD | %CV |
| Sample 1 | 66.5 | 1.3 | 2.0 |
| Sample 2 | 38.4 | 1.0 | 2.6 |
| Sample 4 | 46.9 | 0.6 | 0.4 |
| Sample 5 | 94.9 | 0.4 | 0.4 |
# Run-to-run precision using internal QC material
Estimates of the run-to-run precision were determined for each of three Stat Profile Prime Plus Analyzers by testing Stat Profile Prime Plus Internal Controls, Levels 1-3 for each parameter in QC mode in duplicate, with two runs per day for a total of forty runs.
| pH | | | | |
| --- | --- | --- | --- | --- |
| Sample | Pooled Mean | N | Within run SD (Sr) | Total Imprecision SD (St) |
| QC Level 1 | 7.177 | 240 | 0.003 | 0.005 |
| QC Level 2 | 7.390 | 240 | 0.001 | 0.003 |
| QC Level 3 | 7.599 | 240 | 0.001 | 0.005 |
| pCO2 | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Sample | Pooled Mean | N | Within run SD (Sr) | Within run %CV | Total Imprecision SD (St) | Total Imprecision %CV |
| QC Level 1 | 62.5 | 240 | 0.7 | 1.2 | 3.1 | 4.9 |
| QC Level 2 | 42.0 | 240 | 0.3 | 0.7 | 1.6 | 3.9 |
| QC Level 3 | 19.5 | 240 | 0.2 | 1.0 | 0.9 | 4.4 |
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| pO₂ | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Sample | Pooled Mean | N | Within run SD (Sr) | Within run %CV | Total Imprecision SD (St) | Total Imprecision %CV |
| QC Level 1 | 61.2 | 240 | 1.8 | 3.0 | 2.6 | 4.2 |
| QC Level 2 | 94.9 | 240 | 1.7 | 1.8 | 3.0 | 3.1 |
| QC Level 3 | 130.4 | 240 | 1.8 | 1.4 | 2.2 | 1.7 |
## Day-to-day imprecision using whole blood
To simulate total day-to-day precision for whole blood, triplicate analyses were performed on a single whole blood sample in ten separate runs during a single day. Samples were delivered to the instrument from syringe or capillary tubes. The systems were recalibrated before each triplicate run. The results from one representative analyzer are summarized in the tables below.
| pH | | |
| --- | --- | --- |
| Sample | Mean | SD |
| WB - syringe | 7.484 | 0.010 |
| WB - capillary tube | 7.416 | 0.009 |
| pCO₂ mmHg | | | |
| --- | --- | --- | --- |
| Sample | Mean | SD | %CV |
| WB - syringe | 29.3 | 0.6 | 1.9 |
| WB - capillary tube | 33.4 | 0.4 | 1.2 |
| pO₂ mmHg | | | |
| --- | --- | --- | --- |
| Sample | Mean | SD | %CV |
| WB - syringe | 106.7 | 1.0 | 0.9 |
| WB - capillary tube | 106.4 | 0.8 | 0.7 |
## b. Linearity/assay reportable range:
A linearity study was performed using lithium heparin whole blood samples. Some samples were altered to provide a total ten or eleven analyte concentrations throughout the analytical measurement range. Each blood level was analyzed in triplicate on each of the three Stat Profile Prime CCS analyzers and on the Stat Profile pHOx Ultra analyzer. The pHOx Ultra analyzers were used to establish the target value of each blood level for each parameter. Results of the linear regression analysis for one representative analyzer are shown below.
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| Parameter | Specimen Range Tested | Claimed Measuring Range | Slope | Intercept | r |
| --- | --- | --- | --- | --- | --- |
| pH (pH units) | 6.474 - 8.008 | 6.500 - 8.000 | 1.0089 | -0.0548 | 0.9998 |
| pCO2 (mmHg) | 0.04 - 223.4 | 3.0 - 200.0 | 0.9895 | 1.0156 | 0.9992 |
| pO2 (mm Hg) | 4.5 - 755.8 | 5.0 -765.0 | 0.9827 | 3.1471 | 0.9994 |
The results of the linearity study support the sponsor's claimed measuring ranges (as described in the table above).
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
Traceability:
pH: The pH standards and reagents are traceable to NIST primary pH reference material SRM 21861 and 218611.
$\mathrm{pO}_2 / \mathrm{pCO}_2$ : Nova's $\mathrm{CO}_2 / \mathrm{O}_2$ gases are gravimetrically prepared and are traceable to NIST SRM 1700a, $(\mathrm{pCO}_2)$ and 1702a $(\mathrm{pCO}_2$ and $\mathrm{pO}_2)$
d. Detection limit:
Refer to the linearity study above in M.2.b for measuring range claims for $\mathrm{pH}$ , $\mathrm{pO}_2$ , and $\mathrm{pCO}_2$ .
e. Analytical specificity:
An interference testing study was performed using whole blood collected in lithium heparin vacutainers. The possible interfering substances were tested at two analyte concentrations. Samples were divided to create two separate pools of blood, one for control samples and the other for test samples that were spiked with potential interferent substance. The control and test samples were measured on the same analyzers in replicates of eight. The sponsor defined significant interference as a difference between test and control samples of $> \pm 0.020$ for pH and $> \pm 10\%$ for $\mathrm{pCO_2}$ and $\mathrm{pO_2}$ .
The results of the interference studies are summarized below:
pH
| Test Substance | Highest concentration tested that did not cause significant interference |
| --- | --- |
| Benzalkonium Chloride | 10 mg/L |
| Bilirubin | 20 mg/dL |
| Calcium Chloride | 2 mmol/L |
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| Test Substance | Highest concentration tested that did not cause significant interference |
| --- | --- |
| Dobutamine | 2 mg/dL |
| Ethanol | 86.8 mmol/L |
| Fluorescein | 0.4 mg/mL |
| Hemoglobin | 2 g/L |
| Intralipid | 4000 mg/dL |
| Potassium Chloride | 5 mmol/L |
| Sodium Bromide | 37.5 mmol/L |
| Sodium Chloride | 10 mmol/L |
pCO2:
| Test Substance | Highest concentration tested that did not cause significant interference |
| --- | --- |
| Bilirubin | 20 mg/dL |
| Calcium Chloride | 2 mmol/L |
| Ethanol | 86.8 mmol/L |
| Fluorescein | 0.4 mg/mL |
| Hemoglobin | 2 g/L |
| Intralipid | 4000 mg/dL |
| Sodium Chloride | 10 mmol/L |
| Potassium Chloride | 5 mmol/L |
pO2:
| Test Substance | Highest concentration tested that did not cause significant interference |
| --- | --- |
| Bilirubin | 20 mg/dL |
| Calcium Chloride | 2 mmol/L |
| Ethanol | 86.8 mmol/L |
| Fluorescein | 0.4 mg/mL |
| Hemoglobin | 2 g/L |
| Intralipid | 4000 mg/dL |
| Potassium Chloride | 5 mmol/L |
| Sodium Chloride | 10 mmol/L |
f. Assay cut-off:
Not applicable.
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2. Comparison studies:
a. Method comparison with predicate device:
Method comparison studies were conducted by testing lithium heparinized arterial and venous whole blood specimens in singlet on the three Stat Profile Prime Plus analyzers and two pHOx Ultra analyzers. In order to evaluate the claimed measuring range, some venous whole blood specimens were tonometered, spiked or diluted to achieve the desired concentrations. The singlet result from each test analyzer was compared to the average of the results from each comparative method. Linear regression analysis of one representative analyzer is shown below.
| Analyte | n | Sample concentration range | Slope | Intercept | r |
| --- | --- | --- | --- | --- | --- |
| pH (pH units) | 210 | 6.841 – 7.980 | 1.0053 | -0.0396 | 0.9963 |
| pCO₂ (mm Hg) | 209 | 5.1 – 193.5 | 0.9799 | 0.2799 | 0.9942 |
| pO₂ (mm Hg) | 204 | 17.2 – 645.1 | 1.0104 | 1.3563 | 0.9980 |
b. Matrix comparison:
Not applicable. For use with lithium heparinized whole blood only.
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
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5. Expected values/Reference range:
Reference ranges of pH, pCO₂ and pO₂ are cited from the literature:
pH: 7.350 - 7.450 (pH units)
pCO₂: 35 - 45 mm Hg
pO₂: 83 - 108 mm Hg
Statland, Bernard, Clinical Decision Levels for Lab Tests, Medical Economics Books, 1987.
Burtis, Carl A. and Ashwood, Edward R., ed. 1994. Tietz Textbook of Clinical Chemistry, W. B. Saunders Co. Philadelphia, PA.
Tietz, Norbert W., ed. 1983. Clinical Guide to Laboratory Tests, W. B. Saunders Co., Philadelphia, PA.
N. Instrument Name:
Stat Profile Prime Plus Analyzer System
O. System Descriptions:
1. Modes of Operation:
Does the applicant’s device contain the ability to transmit data to a computer, webserver, or mobile device?
☑ Yes or No
Does the applicant’s device transmit data to a computer, webserver, or mobile device using wireless transmission?
☐ Yes or No
2. Software:
FDA has reviewed applicant’s Hazard Analysis and software development processes for this line of product types:
☑ Yes or No
3. Specimen Identification:
Specimens may be identified by scanning a barcode or by manually entering the information via the touchscreen.
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4. Specimen Sampling and Handling:
Lithium heparinized arterial and venous whole blood from syringes and open blood collection tubes.
5. Calibration:
The Stat Profile Prime Plus analyzer utilizes a replaceable internal Calibrator Cartridge to calibrate the Blood Gas, Electrolyte, Metabolite and CO-Ox sensors contained in the analyzer. Calibrations are initiated by the analyzer automatically but can also be started manually if necessary.
After startup, the analyzer performs a CO-Ox Light Initialization sequence and, once complete, initiates a System Calibration and an Air Detector Calibration sequence. The System Calibration performs a 2-point calibration of the Blood Gas, Electrolyte, and Metabolite sensors, and a 1-point optical calibration of the CO-Oximeter module. The Air Detector Calibration sequence calibrates the internal air detectors that position fluids in the analyzer correctly.
- 2-point calibrations are repeated every 2 hours to ensure the analyzer continues to perform optimally.
- A 1-point calibration is performed with every sample analysis.
- During the first System Calibration to occur after midnight each day, the analyzer also performs a CO-Ox Light Initialization sequence and an Air Detector Calibration.
A System Calibration or Air Detector Calibration can be initiated manually, if needed. Manual calibrations may be necessary after certain maintenance functions or in response to unexpected error conditions.
6. Quality Control:
The Stat Profile Prime Plus Blood Gas/CO-Oximeter Controls 1, 2, and 3 is a quality control material intended for in vitro diagnostic use by healthcare professionals for monitoring the performance of Stat Profile Prime Plus Analyzer.
P. Other Supportive Instrument Performance Characteristics Data Not Covered In The "Performance Characteristics" Section above:
Not applicable
Q. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Parts 801 and 809, as applicable.
12
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R. Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
13
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.