VITROS Chemistry Products VALP Reagent: For in vitro diagnostic use only. VITROS Chemistry Products VALP Reagent is used on the VITROS 5,1 FS Chemistry System to quantitatively measure valproic acid (VALP) concentration in human serum and plasma. Serum or plasma valproic acid measurements are used in the diagnosis and treatment of valproic acid overdose and in monitoring levels of valproic acid to ensure appropriate therapy. VITROS Chemistry Products Calibrator Kit 12: For in vitro diagnostic use only. VITROS Chemistry Products Calibrator Kit 12 is used to calibrate VITROS 5,1 FS Chemistry Systems for the quantitative measurement of valproic acid (VALP). VITROS Chemistry Products TDM Performance Verifier I, II and III: For in vitro diagnostic use only. VITROS TDM Performance Verifier is an assayed control used to monitor performance of ACET, CRBM, DGXN, PHBR, PHYT and VALP on VITROS Chemistry Systems.
Device Story
VITROS Chemistry Products VALP Reagent, Calibrator Kit 12, and TDM Performance Verifiers function on VITROS 5,1 FS Chemistry System; performs homogeneous enzyme immunoassay to measure valproic acid concentration in human serum/plasma. Reagents are liquid, ready-to-use, dual-chambered. Calibrators and assayed controls (bovine serum-based) support system calibration and performance monitoring. Used in clinical laboratory settings by trained personnel. Output provides quantitative valproic acid levels; assists clinicians in assessing overdose and adjusting therapeutic dosage. Benefits include accurate drug monitoring to ensure patient safety and therapeutic efficacy.
Clinical Evidence
No clinical trials; performance established via bench testing. Method comparison study (n=96 patient samples) against predicate device showed strong correlation (Y=0.97x+1.3). Precision studies (NCCLS EP5-A) across 22 days showed within-lab CVs of 3.7%–5.8%. Linearity confirmed 10.0–150.0 µg/mL. Interference testing (NCCLS EP7-A) showed no significant bias (<7%) for common substances. Matrix compatibility confirmed for serum and Li-Heparin/EDTA plasma.
Technological Characteristics
Homogeneous enzyme immunoassay; liquid ready-to-use reagents; bovine serum-based controls; VITROS 5,1 FS Chemistry System instrumentation; quantitative measurement range 10–150 µg/mL.
Indications for Use
Indicated for quantitative measurement of valproic acid in human serum and plasma to aid in diagnosis/treatment of valproic acid overdose and therapeutic drug monitoring.
Regulatory Classification
Identification
A neuroleptic drugs radioceptor assay test system is a device intended to measure in serum or plasma the dopamine receptor blocking activity of neuroleptic drugs and their active metabolites. A neuroleptic drug has anti-psychotic action affecting principally psychomotor activity, is generally without hypnotic effects, and is a tranquilizer. Measurements obtained by this device are used to aid in determining whether a patient is taking the prescribed dosage level of such drugs.
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510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION
DECISION SUMMARY
ASSAY ONLY TEMPLATE
A. 510(k) Number:
k042476
B. Purpose for Submission:
New submission
C. Measurand:
Valproic Acid
D. Type of Test:
Quantitative Immunoassay with calibrators and controls
E. Applicant:
Ortho-Clinical Diagnostics, INC.
F. Proprietary and Established Names:
Vitros Chemistry Products VALP Reagent
Vitros Chemistry Products Calibrator Kit 12
Vitros Chemistry Products TDM Performance Verifiers I, II and III
G. Regulatory Information:
1. Regulation section:
862.3645 Neuroleptic drugs radioreceptor assay test system
862.3200 Calibrators, Drug Specific
862.3280 Clinical Toxicology Control Material
2. Classification:
Class II, II, I (Reserved)
3. Product code:
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LEG, DLJ, DIF respectively
4. Panel:
91 (Toxicology)
H. Intended Use:
1. Intended use(s):
See indications for use.
2. Indication(s) for use:
VITROS Chemistry Products VALP Reagent is used to quantitatively measure valproic acid in human serum and plasma. Serum or plasma valproic acid measurements are used in the diagnosis and treatment of valproic acid overdose and in monitoring levels of valproic acid to ensure appropriate therapy.
VITROS Chemistry Products Calibrator Kit 12 is used to calibrate VITROS 5,1 FS Chemistry System for the quantitative measurement of valproic acid (VALP).
VITROS Chemistry Products TDM Performance Verifier is an assayed control used to monitor performance on VITROS Chemistry Systems.
The device is for in vitro diagnostic use.
3. Special conditions for use statement(s):
The assay is for prescription use.
The assay is not designated for use in point-of-care settings.
4. Special instrument requirements:
Vitros 5,1 FS Chemistry Analyzer. (k031924)
I. Device Description:
The valproic acid reagent consists of a dual chambered package containing two liquid ready-to-use reagents that are used in a two-step reaction.
Reagent 1 consists of mouse monoclonal antibodies to valproic acid, NAD, and glucose-6-phosphate (G-6-P). Reagent 2 consists of valproic acid labeled with glucose-6-phosphate dehydrogenase (G-6 PD). When combined, valproic acid in the sample competes with labeled valproic acid for antibody sites. G-6-PD activity is decreased when it is bound to the antibody. The resulting conversion of NAD to NADH in the reaction is measured spectrophotometrically at 340 nm.
Calibrator Kit 12 are standards that are sold separately. They are used to construct
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the standard curve, which is used to calculate the concentration of the unknown samples. They consist of 6 levels of aqueous solution containing valproic acid, ranging in concentration from 0-150 µg/mL.
Verifiers I, II and III are a set of 3 assayed controls (6 vials- 2 mL each) that are run with the samples to monitor the performance of the assay. They consist of bovine serum spiked with valproic acid.
Diluent Pack 2 is comprised of two chambers, one containing water and salts, and the other 7% BSA. It is used to dilute samples on the analyzer.
Human Source Material: The sponsor indicates there are no human source materials in their product.
## J. Substantial Equivalence Information:
1. Predicate device name(s):
SYVA Emit 2000 Valproic Acid Assay and Calibrators
TDM Performance Verifiers currently in commercial distribution
2. Predicate 510(k) number(s):
k002551 and k953197, respectively
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Intended Use | Quantitative measurement of valproic acid. | Quantitative measurement of valproic acid |
| Basic principle | Homogeneous enzyme immunoassay | Homogeneous enzyme immunoassay |
| Reportable range | 10-150 µg/mL | 1-150 µg/mL |
| Sample type | Serum and plasma | Serum and plasma |
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| Differences | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Instrumentation | VITROS 5,1 FS
Chemistry System | SYVA-30R Biochemical System |
K. Standard/Guidance Document Referenced (if applicable):
The sponsor referenced the following guidance document(s) in their submission:
National Academy of Clinical Biochemistry Symposium. Standards of Laboratory practice: antiepileptic drug monitoring. Clinical Chemistry 44:5 1085-1095 (1998).
NCCLS document EP9-A. Method Comparison and Bias Estimation Using Patient Samples; Approved Guideline- Second Edition.
NCCLS document EP5-A. Method Comparison of Precision Performance of Clinical Chemistry Devices; Approved Guideline.
NCCLS document EP7-A. Interference Testing in Clinical Chemistry; Approved Guideline.
NCCLS document EP6-A. Evaluation of the Linearity of Quantitative Measurement Procedure: A Statistical Approach; Approved Guideline.
The sponsor does not indicate any deviation from these guidance documents.
L. Test Principle:
The test is an enzyme immunoassay for use on the Vitros 5,1 FS Chemistry System. Calibrators, ranging in concentration from 0 to 150 µg/mL, are run with the assay. The Vitros VALP assay is a homogeneous enzyme immunoassay technique used for the quantitative analysis of valproic acid in human serum and plasma. In the performance of the Vitros VALP assay, serum or plasma is mixed with Reagent 1 which contains mouse monoclonal antibodies to valproic acid and the coenzyme nicotinamide adenine dinucleotide (NAD). Subsequently, Reagent 2, containing Valproic acid labeled with glucose-6-phosphate dehydrogenase (G6PDH), is added. Valproic acid in the sample and the valproic acid labeled G6PDH compete for the antibody binding sites. Enzyme activity decreases upon binding to the antibody, so valproic acid concentration in the sample can be measured in terms of enzyme activity. Enzyme activity converts NAD+ to NADH, resulting in an absorbance change that is measured spectrophotometrically at 340nm. Unknowns are calculated from a standard curve.
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M. Performance Characteristics (if/when applicable):
1. Analytical performance:
a. Precision/Reproducibility:
The samples used for testing were the sponsor’s controls, Verifiers I, II and III. The samples were run in duplicate, twice a day for twenty-two days using three lots and three instruments.
The sponsor states that studies were conducted according to NCCLS Guidelines (EP5-A) for precision.
The results of the test samples were analyzed by ANOVA as detailed in NCCLS EP5-A. A nested ANOVA was performed to estimate within-day, day-to-day, week-to-week (cal-to-cal) and total within-lab precision.
The within-day and within-laboratory precision is summarized in the table below.
VITROS Chemistry Products VALP Reagent Precision
| SYSTEM | Conventional Units (μg/mL) | | | SI Units (μmol/L) | | | Within Lab %CV | No. Observations | No. Days |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | Mean Conc. | Within Day SD* | Within Lab SD** | Mean Conc. | Within Day SD* | Within Lab SD** | | | |
| VITROS 5,1 FS | 22.55 | 0.71 | 1.31 | 156.3 | 4.9 | 9.1 | 5.8% | 88 | 22 |
| | 61.25 | 1.62 | 2.83 | 424.4 | 11.3 | 19.6 | 4.6% | 88 | 22 |
| | 103.41 | 2.30 | 3.80 | 716.6 | 15.9 | 26.3 | 3.7% | 88 | 22 |
*Within Day precision was determined using two runs / day with two replications per run.
** Within Lab precision was determined using a single lot of reagents and calibrating weekly.
b. Linearity/assay reportable range:
To evaluate the linearity the sponsor compared the calculated and measured valproic acid concentrations for a series of test fluids that span the reportable range of the assay. The sponsor states that studies were performed according to NCCLS Guideline EP6-A8, Evaluation of the Linearity of Quantitative Analytical Methods.
Linearity fluids were prepared from two pools of serum with valproic acid near the extremes of the calibration range (low pool 3μg/mL and high pool 170 μg/mL). The two pools were mixed to create 15 additional pools of intermediate concentrations.
Five determinations of each linearity fluid level and three determinations of Verifiers were tested with three lots of reagent and two analyzers. A linear regression analysis was performed by the method of least squares. The plotted
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curve conforms to a straight line, supporting the reportable range 10.0-150.0 µg/mL.
## Dilution Study:
The sponsor conducted a dilution study to verify recommended diluent performance and verify the accuracy of results using diluted specimens.
2 Lots of reagent were used. Dilutions (X2 and X4) were performed on board by the analyzer.
Six frozen human serum samples with valproic acid concentrations near the upper end or above the reportable range (concentrations ranging from 113 to 136 µg/mL) were tested. Results for four of the undiluted samples were within the reportable range of the analyzer (10.0 – 150.0 µg/mL). Results for two of the undiluted samples were above the reportable range of the analyzer. Each neat and corresponding diluted sample pair was tested in triplicate and a mean was calculated for the neat sample and the diluted sample.
The mean diluted sample value was divided by the mean undiluted sample value and then multiplied by 100 to determine percent recovery. The % recovery of all samples ranged from 90-103%.
## c. Traceability, Stability, Expected values (controls, calibrators, or methods):
Calibrators and controls are required with this assay and are specifically identified in the labeling. They are both sold separately, and are obtaining clearance with this submission. See the device description section, above.
Traceability is achieved in the value assignment process through the use of U.S. Pharmacopeia standard valproic acid, catalog NO. 1708707. Standards (primary calibrators) are gravimetrically prepared by the manufacturer and six levels are confirmed by GC/MS or HPLC methods. To assign values to the manufacturer's working calibrator the sponsor first calibrates the SYVA test system using the primary calibrators. One hundred human clinical serum samples are assigned values from this run. The serum samples are then used to calibrate the VITROS test system, and to assign values to the sponsors' master lot of calibrators. This procedure ensures that matrix effects associated with both methods are taken into account in the value transfer process. The sponsor's master lot is used to assign all subsequent lots of product.
Control values are assigned by running five Vitros 5,1 FS Chemistry System in five different laboratories using manufactures products. Data was collected over 10 days, 2 runs/day and 2 replicates/run for each performance verifier.
## STABILITY
Shelf life and open vial stability was established by running human serum
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aliquots at concentrations of 19 µg/mL, 75 µg/mL and 119 µg/mL. Each sample pool was run at baseline (time = 0) and at 1, 2, 3, 7, 9, 13, 15, and 19 months. At each test interval 1 bottle of each level was used to calibrate a Syva 30R Immunodiagnostic analyzer. 20 replicates of each pool were tested to assess variations in the concentration over time. The mean of each testing material for valproic acid was then calculated and compared to the acceptance criteria.
## Acceptance Criteria:
The acceptance limits are based on the valproic acid concentrations: If the valproic acid concentration is < 28 µg/mL, the limit is ± 2.363 µg/mL. If the valproic acid concentration is ≥ 28 µg/mL, the limit is calculated using the following equation:
$$
0.0448\ [\text{valproic acid}] + 1.1382\ \mu\text{g/mL}
$$
All data met the acceptance criteria except for pool 2 and 3 at 9 months. Subsequent data points collected at 13, 15 and 19 months passed, therefore, the data supports an 18-month expiry.
## d. Detection limit:
To determine the lower limit of detection the sponsor evaluated serum from ten normal adult human donors (containing no valproic acid) and their zero calibrator. Each of the samples was analyzed in triplicate.
The 12 samples were analyzed six times, using three reagent lots and two lots of the calibrator on two instruments.
The data were analyzed for each of the six determinations to calculate the lower limit of detection (LLD) as shown:

All the lower limit of detection estimates ranged from 2.7 µg/mL to 2.9 µg/mL.
The data support the product claim for a lower limit of detection of 2.9 µg/mL.
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e. Analytical specificity:
Eleven human serum samples having valproic acid concentrations of approximately 70 µg/mL were pooled and designated as “low” pool. Twelve human samples had approximately 130 µg/mL of valproic acid and were designated as the “high” pool. These samples were used in testing the interference of bilirubin and hemoglobin.
Twelve human serum samples having valproic acid concentrations of approximately 70 µg/mL were pooled and designated as “low” pool. Nine human serum samples having valproic acid concentrations of approximately 130 µg/mL were pooled and designated as “high” pool. These samples were used in testing the interference of Intralipids.
A serum base pool containing approximately 70 µg/mL valproic acid was used in testing all remaining test substances.
The sponsor indicates that they followed the protocol outlined in NCCLS document EP7-A Interference Testing In Clinical Chemistry for paired-difference method.
Four determinations of each pool containing a particular test substance were made using two reagent lots on one VITROS 5,1 FS Chemistry System. For each substance tested, the mean valproic acid concentration, SD and CV (%) were calculated for each control pool and the test substance pool.
Bias was calculated as:
Bias = Mean conc. of test substance pool - Mean conc. of control pool
The % cross-reactivity was calculated as:
$$
\% \text{Cross-Reactivity} = \frac{\text{Mean conc. with substance} - \text{Mean conc. w/o substance}}{\text{Conc. of substance}} \times 100
$$
The predetermined acceptance criteria are acceptance limits based on the valproic acid concentrations in the control pool. The limits are calculated using the following equation:
$$
0.0696(\text{valproic acid}) + 1.7685\ \mu\text{g/mL}
$$
None of the substances tested generated a bias greater than ±7%.
The substances listed in this table, at the concentrations shown, were tested according to NCCLS Protocol EP7-A with VITROS VALP Reagent and a serum pool at a valproic acid concentration of 70 µg/mL, and found not to interfere [bias < 6.6 µg/mL]. Bilirubin, hemoglobin and Intralipid were also
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tested with a serum pool at a valproic acid concentration of 135 µg/mL, and found not to interfere [bias < 11.2 µg/mL].
A serum pool at a valproic acid concentration of 70 µg/mL the substances were found not to interfere (bias < 6.6 µg/mL). Bilirubin, Hemoglobin and Intralipid were tested in a serum pool at a valproic acid concentration of 135 µg/mL and found not to interfere (bias < 11.2 µg/mL).
| Compound | Concentration | |
| --- | --- | --- |
| Bilirubin | 60 mg/dL | 1026 μmol/L |
| Carbamazepine | 1000 μg/mL | 4.2 mmol/L |
| Clonazepam | 100 μg/mL | 317 μmol/L |
| Diazepam | 100 μg/mL | 351 μmol/L |
| Ethosuximide | 1000 μg/mL | 7.1 mmol/L |
| Hemoglobin | 1000 mg/dL | 10 g/L |
| Intralipid | 1000 mg/dL | 10 g/L |
| 2-n-Propyl-3-hydroxy-pentanoic acid | 100 μg/mL | 624 μmol/L |
| 2-n-Propyl-4-hydroxy-pentanoic acid | 100 μg/mL | 624 μmol/L |
| 2-n-Propyl-5-hydroxy-pentanoic acid | 50 μg/mL | 312 μmol/L |
| 2-n-Propyl-3-oxo-pentanoic acid | 100 μg/mL | 633 μmol/L |
| Phenobarbital | 750 μg/mL | 3.2 mmol/L |
| Phenytoin | 1000 μg/mL | 4.0 mmol/L |
| Primidone | 1000 μg/mL | 4.6 mmol/L |
| 2-Propyl glutaric acid | 400 μg/mL | 1.6 mmol/L |
| 2-Propyl-2-pentenoic acid | 20 μg/mL | 141 μmol/L |
| 2-Propyl-4-pentenoic acid | 10 μg/mL | 703 μmol/L |
| 2-Propyl succinic acid | 500 μg/mL | 3.1 mmol/L |
Absorbance values exceeding 3.0 AU were observed with the VALP Reagent with the "high" serum containing valproic acid at approximately 130 µg/mL spiked with Intralipid at levels of 800 mg/dL or higher. When these samples were tested after dilution with 7% BSA (1 part 7% BSA and 1 part sample) valproic acid results were reported and all levels of Intralipid tested passed acceptance limits. No interferences were found.
f. Assay cut-off:
Not applicable
2. Comparison studies:
a. Method comparison with predicate device:
The sponsor states that studies were based on NCCLS Guideline EP9-A2 Method Comparison and Bias Estimation Using Patient Samples.
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A total of 96 serum samples were assayed by the predicate and candidate device. Each sample was measured in triplicate on each system. Testing was performed with three lots of reagents on three VITROS Systems. The range of samples tested was 14.3-147.1 µg/mL.
The relationship between the two methods, determined by least squares linear regression is:
$$
Y = 0.97(\text{vitros}) + 1.3\ \mu\text{g/mL}
$$
$$
\text{Syx} = 4.24
$$
## b. Matrix comparison:
To determine which specimen types are suitable for analysis with the assay, the sponsor conducted a study involving various specimens from different BectonDickinson tubes.
Blood samples from multiple individuals were drawn into serum (red top) collection tubes. Valproic acid in either a methanol matrix or a human serum base matrix were "spiked" into the samples to a concentration of 50, 100 and 200 µg/mL, mixed and transferred to various tube types. The following table shows specimen types and fill levels for the specimen examined. The quarter filled tubes were evaluated to determine the effects of under-filled conditions.
| Sample Type | Fill Levels Collected |
| --- | --- |
| Serum (Red Top) | Full |
| Serum Separator (SST) | ¼ Full |
| Li-Heparin Plasma | Full, ¼ Full |
| Li-Heparin Plasma Separator (PST) | Full, ¼ Full |
| Sodium Citrate | Full, ¼ Full |
| EDTA Plasma | Full, ¼ Full |
| Sodium Fluoride Potassium Oxalate | Full, ¼ Full |
Serum and plasma samples were evaluated by paired-difference testing. All samples were tested in triplicate with one lot of reagent.
The data were tabulated and the bias between the mean value (n=3) for each test condition was compared to the mean of the serum value. The bias was calculated as:
$$
\text{Bias} = \text{Test Condition Value} - \text{Serum Sample Value}
$$
Serum (red top) was used as the reference because it is the specimen matrix used to establish overall accuracy of the method.
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The acceptance criteria are based on the valproic acid concentration in the serum sample :
| Valproic Acid Concentration (μg/mL) | Bias Limits | % Bias Limits |
| --- | --- | --- |
| 50 | ± 5.25 μg/mL | ± 10.5 % |
| 100 | ± 8.73 μg/mL | ± 8.7 % |
| 200 | ± 15.69 μg/mL | ±7.8 % |
The bias between serum values (from a red top tube) and values from the serum separator tubes (SST) and from the anticoagulants EDTA and lithium heparin (including plasma separator tubes) all met the acceptance criteria.
The bias values observed between serum samples and samples collected in tubes containing Sodium Fluoride Potassium Oxalate or Sodium Citrate did not meet acceptance criteria.
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:
Reference ranges are presented, below.
| Classification | Conventional Units (μg/mL) | SI Units (μmol/L) | Alternate Units (mg/L) |
| --- | --- | --- | --- |
| Minimal | 50.0 | 346.5 | 50.0 |
| Therapeutic | 50.0–120.0 | 346.5-831.6 | 50.0-120.0 |
| s Possible toxic | >100.0 | 693.0 | >100.0 |
| Serious Toxic | >200.0 | 1386.0 | >200.0 |
These ranges are the same reference ranges cited by the predicate device. Use of the same ranges is supported by the close agreement observed in the linear regression plot from the method comparison study.
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N. Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
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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.
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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.
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Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
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What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
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.