The device performance was evaluated by comparing results from 95 clinical urine samples against a confirmatory reference method (GC/MS or LC/MS) to demonstrate clinical agreement.
Method comparison; Clinical samples; Urine; Agreement study
Clinical Evidence
Study Design
Population
Comparator
Key Endpoints
Method comparison study
Clinical unaltered urine samples; Sample Size: 95
GC/MS or LC/MS
Percent agreement with positive and negative samples
Indications for Use
The LZI Methamphetamine Enzyme Immunoassay is intended for the qualitative and semiquantitative determination of d-methamphetamine in human urine, at a cutoff value of 500 ng/mL. The assay is designed for professional use with a number of automated clinical chemistry analyzers. The semi-quantitative mode is for purposes of (1) enabling laboratories to determine an appropriate dilution of the specimen for confirmation by a confirmatory method such as GCMS and LCMS or (2) permitting laboratories to establish quality control procedures. The LZI Methamphetamine Drugs of Abuse (DAU) Calibrators are for use as calibrators in the qualitative and semi-quantitative calibration of the Methamphetamine Enzyme Immunoassay at a cutoff value of 500 ng/mL. The LZI Methamphetamine Drugs of Abuse (DAU) Controls are for use as assayed quality control materials to monitor the precision of the Methamphetamine Enzyme Immunoassay at a cutoff value of 500 ng/mL. The assay provides only a preliminary analytical result. A more specific alternative chemical method must be used in order to obtain a confirmed analytical result. Gas or liquid chromatography/mass spectrometry (GC/MS or LC/MS) is the preferred confirmatory method). Clinical consideration and professional judgment should be exercised with any drug of abuse test result, particularly when the preliminary test result is positive.
Device Story
LZI Methamphetamine Enzyme Immunoassay; kit contains two reagents (R1: antibody, G6P, NAD; R2: drug-labeled G6PDH). Operates via competitive enzyme immunoassay on automated clinical chemistry analyzers (e.g., Hitachi 717). Input: human urine sample. Principle: drug in sample competes with drug-labeled G6PDH for antibody binding sites; unbound labeled enzyme converts NAD to NADH; absorbance measured at 340 nm. Output: qualitative (positive/negative) or semi-quantitative (concentration estimate) result. Used in clinical laboratories by professional staff. Output assists in identifying specimens requiring confirmatory testing (GC/MS or LC/MS) and monitoring quality control. Benefits: rapid preliminary screening for methamphetamine presence in urine.
Clinical Evidence
Bench testing only. Precision evaluated with N=88 determinations per concentration level; total precision %CV ranged from 0.8% to 1.6% (qualitative) and 1.4% to 91.6% (semi-quantitative). Limit of detection established at 25 ng/mL. Linearity demonstrated from 0-2000 ng/mL (r2=0.9996). Method comparison with 95 clinical samples showed 97.87% agreement with positive samples and 100% agreement with negative samples.
Technological Characteristics
Homogeneous enzyme immunoassay; reagents include mouse monoclonal anti-methamphetamine antibody, G6PDH-labeled d-methamphetamine, G6P, and NAD. Preserved with 0.09% sodium azide. Form factor: liquid reagent kit. Analyzed via spectrophotometry at 340 nm on automated clinical chemistry analyzers. Storage: 2-8 °C.
Indications for Use
Indicated for qualitative and semi-quantitative determination of d-methamphetamine in human urine at 500 ng/mL cutoff. For professional use in clinical laboratories. Provides preliminary results requiring confirmation by GC/MS or LC/MS.
Regulatory Classification
Identification
A methamphetamine test system is a device intended to measure methamphetamine, a central nervous system stimulating drug, in serum, plasma, and urine. Measurements obtained by this device are used in the diagnosis and treatment of methamphetamine use or overdose.
Special Controls
*Classification.* Class II (special controls). A methamphetamine test system is not exempt if it is intended for any use other than employment or insurance testing or is intended for Federal drug testing programs. The device is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 862.9, provided the test system is intended for employment and insurance testing and includes a statement in the labeling that the device is intended solely for use in employment and insurance testing, and does not include devices intended for Federal drug testing programs (*e.g.,* programs run by the Substance Abuse and Mental Health Services Administration (SAMHSA), the Department of Transportation (DOT), and the U.S. military).
LZI Amphetamines 500 Drugs of Abuse Calibrators (k102210)
LZI Amphetamines 500 Drugs of Abuse Controls (k102210)
Submission Summary (Full Text)
{0}
1
# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY ONLY TEMPLATE
A. 510(k) Number:
k113661
B. Purpose for Submission:
New Device
C. Measurand:
Methamphetamine
D. Type of Test:
Qualitative and Semi-Quantitative Enzyme Immunoassay
E. Applicant:
Lin-Zhi International, Inc.
F. Proprietary and Established Names:
LZI Methamphetamine Immunoassay
LZI Methamphetamine Drug of Abuse Calibrators
LZI Methamphetamine Drug of Abuse Controls
G. Regulatory Information:
| Product Code | Classification | Regulation Section | Panel |
| --- | --- | --- | --- |
| LAF | Class II | 21 CFR § 862.3610
Methamphetamine test system | Toxicology (91) |
| DLJ | Class II | 21 CFR § 862.3200
Clinical toxicology calibrator | Toxicology (91) |
| LAS | Class I, Reserved | 21 CFR § 862.3280
Clinical toxicology control material | Toxicology (91) |
{1}
H. Intended Use:
1. Intended use(s):
See indications for use below.
2. Indication(s) for use:
The LZI Methamphetamine Enzyme Immunoassay is intended for the qualitative and semi-quantitative determination of d-methamphetamine in human urine, at the cutoff value of 500 ng/mL. The assay is designed for professional use with a number of automated chemistry analyzers.
The semi-quantitative mode is for purposes of (1) enabling laboratories to determine an appropriate dilution of specimen for confirmation by a confirmatory method such as GCMS or LCMS or (2) permitting laboratories to establish quality control procedures.
The LZI Methamphetamine Drugs of Abuse (DAU) Calibrators are for use as calibrators in the qualitative and semi-quantitative calibration of the LZI Methamphetamine Enzyme Immunoassay at a cutoff value of 500 ng/mL.
The LZI Methamphetamine Drugs of Abuse (DAU) Controls are for use as assayed quality control materials to monitor the precision of the LZI Methamphetamine Enzyme Immunoassay at a cutoff value of 500 ng/mL.
The assay provides only a preliminary analytical result. A more specific alternative chemical method must be used in order to obtain a confirmed analytical result. Gas or liquid chromatography/mass spectrometry (GC/MS or LC/MS) is the preferred confirmatory method. Clinical consideration and professional judgment should be exercised with any drug of abuse test result, particularly when the preliminary test result is positive.
3. Special conditions for use statement(s):
For prescription use only.
4. Special instrument requirements:
Performance data was provided for Hitachi 717 analyzer. The assay can be used on a clinical chemistry analyzer capable of measuring absorbance at 340 nanometers.
I. Device Description:
The LZI Methamphetamine Enzyme Immunoassay is a kit comprised of two reagents,
{2}
separately packed, but sold together in one kit (R1 and R2).
| Reagent | Description |
| --- | --- |
| R1 | Contains mouse monoclonal anti-methamphetamine antibody, glucose-6-phosphate (G6P), nicotinamide adenine dinucleotide (NAD), stabilizers, and sodium azide as a preservative. |
| R2 | Contains d-methamphetamine labeled with glucose-6-phosphate dehydrogenase (G6PDH) in buffer with sodium azide as a preservative. |
The LZI Methamphetamine Enzyme Immunoassay calibrators and controls designated for use at 500 ng/mL cutoff contain 0, 250, 375, 500, 625, 1,000, and 2,000 ng/mL of d-methamphetamine in human urine with less than 0.1% sodium azide as preservative.
## J. Substantial Equivalence Information:
1. Predicate device name(s):
- LZI Amphetamines 500 Homogenous Enzyme Immunoassay
- LZI Amphetamines 500 Drugs of Abuse Calibrators
- LZI Amphetamines 500 Drugs of Abuse Controls
2. Predicate 510(k) number(s):
- k102210
3. Comparison with predicate:
Similarities and Differences – Test Device
| Item | Candidate Device | Predicate Device |
| --- | --- | --- |
| | LZI Methamphetamine Enzyme Immunoassay | LZI Amphetamines 500 Homogenous Enzyme Immunoassay (k102210) |
{3}
| Intended Use | The Methamphetamine Enzyme Immunoassay is intended for the qualitative and semi-quantitative determination of d-methamphetamine in human urine, at the cutoff value of 500 ng/mL. The assay is designed for professional use with a number of automated chemistry analyzers.The semi-quantitative mode is for purposes of (1) enabling laboratories to determine an appropriate dilution of specimen for confirmation by a confirmatory method such as GCMS or LCMS or (2) permitting laboratories to establish quality control procedures.The Methamphetamine Drugs of Abuse (DAU) Calibrators are for use as calibrators in the qualitative and semi-quantitative calibration of the Methamphetamine Enzyme Immunoassay at a cutoff value of 500 ng/mL.The Methamphetamine Drugs of Abuse (DAU) Controls are for use as assayed quality control materials to monitor the precision of the Methamphetamine Enzyme Immunoassay at a cutoff value of 500 ng/mL.The assay provides only a preliminary analytical result. A more specific alternative chemical method must be used in order to obtain a confirmed analytical result. Gas or liquid chromatography/mass spectrometry (GC/MS or LC/MS) is the preferred confirmatory method. Clinical consideration and professional judgment should be exercised with any drug of abuse test result, particularly when the preliminary test result is positive. | Same |
| --- | --- | --- |
| Analytes | d-methamphetamine | d-amphetamine and d-methamphetamine |
| Assay Type | Qualitative and Semi-Quantitative | Same |
| Cutoff value | 500 ng/mL | Same |
| Sample | Urine | Same |
{4}
| Methodology | Enzyme Immunoassay (EIA) | Enzyme Linked Immunoassay(ELISA) |
| --- | --- | --- |
| Analyzer | Clinical chemistry analyzer capable of measuring absorbance at 340 nanometers | Same |
| Detection Wavelength | 340 nanometers | Same |
| Calibrators | Five Levels (0, 250, 500, 1000, and 2,000) | Same |
| Controls | Two Levels (375 and 625 ng/mL) | Same |
# K. Standard/Guidance Document Referenced (if applicable):
CLSI EP5-A, Evaluation of Precision Performance of Clinical Chemistry Devices
# L. Test Principle:
The assay is an Enzyme Immunoassay (EIA) based on competition between drug in the sample and drug labeled with the enzyme glucose-6-phosphate-dehydrogenase (G6PDH) for a fixed amount of antibody in the reagent. Enzyme activity decreases upon binding to the antibody, and the drug concentration in the sample is measured in terms of enzyme activity. In the absence of drug in the sample, methamphetamine-labeled G6PDH conjugate is bound to antibody, and the enzyme activity is inhibited. On the other hand, when free drug is present in the sample, antibody would bind to free drug, the unbound methamphetamine-labeled G6PDH then exhibits its maximal enzyme activity. Active enzyme converts nicotinamide adenine dinucleotide (NAD) to NADH, resulting in an absorbance change that can be measured spectrophotometrically at $340~\mathrm{nm}$ .
# M. Performance Characteristics (if/when applicable):
# 1. Analytical performance:
# a. Precision/Reproducibility:
Precision studies were conducted on the Hitachi 717 analyzer using samples containing methamphetamine. Studies were performed according to CLSI-EP5. Samples were prepared by spiking a negative human urine pool with d-methamphetamine at the following concentrations: zero drug $(-100\%)$ , $-75\%$ , $-50\%$ , and $-25\%$ below the cutoff, cutoff, and $+25\%$ , $+50\%$ , $+75\%$ , and $+100\%$ above the cutoff. Samples were tested in 2 replicates per run, 2 runs per day for 22 days, total $n = 88$ . Samples concentrations were confirmed by GC/MS. Results of the studies are presented below:
{5}
| Semi-Quantitative | | Within Run | | Total Precision | |
| --- | --- | --- | --- | --- | --- |
| Sample Concentration (ng/mL) | % of Cutoff | Number of Determinations | Immunoassay Result | Number of Determinations | Immunoassay Result |
| 0 | -100% | 22 | 22 Negative | 88 | 88 Negative |
| 125 | -75% | 22 | 22 Negative | 88 | 88 Negative |
| 250 | -50% | 22 | 22 Negative | 88 | 88 Negative |
| 375 | -25% | 22 | 22 Negative | 88 | 88 Negative |
| 500 | Cutoff | 22 | 22 Positive | 88 | 85 Positive 3 Negative |
| 625 | +25% | 22 | 22 Positive | 88 | 88 Positive |
| 750 | +50% | 22 | 22 Positive | 88 | 88 Positive |
| 875 | +75% | 22 | 22 Positive | 88 | 88 Positive |
| 1000 | +100% | 22 | 22 Positive | 88 | 88 Positive |
| Qualitative | | Within Run | | Total Precision | |
| --- | --- | --- | --- | --- | --- |
| Sample Concentration (ng/mL) | % of Cutoff | Number of Determinations | Immunoassay Result | Number of Determinations | Immunoassay Result |
| 0 | -100% | 22 | 22 Negative | 88 | 88 Negative |
| 125 | -75% | 22 | 22 Negative | 88 | 88 Negative |
| 250 | -50% | 22 | 22 Negative | 88 | 88 Negative |
| 375 | -25% | 22 | 22 Negative | 88 | 88 Negative |
| 500 | Cutoff | 22 | 16 Positive 6 Negative | 88 | 62 Positive 26 Negative |
| 625 | +25% | 22 | 22 Positive | 88 | 88 Positive |
| 750 | +50% | 22 | 22 Positive | 88 | 88 Positive |
| 875 | +75% | 22 | 22 Positive | 88 | 88 Positive |
| 1000 | +100% | 22 | 22 Positive | 88 | 88 Positive |
b. Linearity/assay reportable range:
Linearity across the range was confirmed by serially diluting a spike urine pool containing d-methamphetamine to obtain the levels listed in the table below. Each sample was assayed in 10 replicates on the Hitachi 717 analyzer in semi-quantitative mode. The results were averaged and compared to the expected result and the percent recovery was calculated. Results are presented below:
{6}
| Expected Value (ng/mL) | Observed Value (ng/mL) | % Recovery |
| --- | --- | --- |
| 0 | 0 | |
| 25 | 22.5 | 86.0 |
| 150 | 130.6 | 87.0 |
| 300 | 291.6 | 97.2 |
| 400 | 403.1 | 100.8 |
| 500 | 497.1 | 99.4 |
| 600 | 591.6 | 98.6 |
| 750 | 726.2 | 96.8 |
| 1000 | 966.6 | 96.7 |
| 1400 | 1345.1 | 96.1 |
| 2000 | 1971.4 | 98.6 |
Linear regression analysis of the results yielded the following:
$$
y = 0.9791x - 2.8289, R^2 = 0.9996
$$
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
Calibrators and controls were previously cleared (k102210) under a different trade name. The calibrators and controls of this current submission and the predicate only differ in trade name. See k102210 for calibrators and controls traceability and stability information.
Labeling indicates to not use assay reagents, calibrators, or control materials beyond the indicated expiration dates on labeled vials.
d. Detection limit:
Performance at low drug concentrations in the semi-quantitative assay was characterized by determination of recovery (see section M1b above).
e. Analytical specificity:
Possible interference from endogenous compounds was evaluated using pooled urine samples spiked with d-methamphetamine at levels $\pm 25\%$ of the $500~\mathrm{ng/mL}$ cutoff. Interference was evaluated on the Hitachi 717 analyzer. No positive or negative interference was observed when the following endogenous compounds were tested at the physiological levels indicated in the table:
{7}
| Compound | Concentration (mg/dL) | -25% d-methamphetamine (375 ng/mL) | +25% d-methamphetamine (625 ng/mL) |
| --- | --- | --- | --- |
| Acetone | 1000 | Negative | Positive |
| Ascorbic Acid | 500 | Negative | Positive |
| Creatinine | 500 | Negative | Positive |
| Ethanol | 1000 | Negative | Positive |
| Galactose | 10 | Negative | Positive |
| γ-Globulin | 500 | Negative | Positive |
| Glucose | 1500 | Negative | Positive |
| Hemoglobin | 100 | Negative | Positive |
| Human Serum Albumin | 500 | Negative | Positive |
| Oxalic Acid | 100 | Negative | Positive |
| Riboflavin | 2.5 | Negative | Positive |
| Sodium Chloride | 2000 | Negative | Positive |
| Urea | 2000 | Negative | Positive |
Possible interference from specific gravity was evaluated using urine samples containing d-methamphetamine at levels $\pm 25\%$ of the $500~\mathrm{ng/mL}$ cutoff with specific gravities ranging from 1.002 to 1.030. No positive or negative interference due to specific gravity was observed.
To test for potential positive or negative interference from pH using urine samples containing d-methamphetamine at levels $\pm 25\%$ of the $500~\mathrm{ng/mL}$ cutoff were evaluated at pH values of 3, 4, 5, 6, 7, 8, 9, 10, and 11. No positive or negative interference due to pH was observed.
Cross reactivity of various potential interfering structurally related drugs was tested by spiking a final concentration of up to $500,000~\mathrm{ng/mL}$ of each substance into drug-free urine. Final concentrations of drug compounds tested were equivalent to the $500~\mathrm{ng/mL}$ d-methamphetamine cutoff. Cross-reactivity was evaluated with the assay's calibrated dose-response curve. Results from these studies are summarized below:
{8}
| Structurally Related Compounds | Target Concentration (ng/mL) | Response equivalent to cutoff (ng/mL) | % Cross Reactivity |
| --- | --- | --- | --- |
| d-Amphetamine | 10,000 | 253.85 | 2.54% |
| l-Amphetamine | 12,000 | 122.20 | 1.02% |
| Atomoxetine | 500,000 | 129.60 | 0.03% |
| Benzphetamine | 500,000 | 172.85 | 0.03% |
| d-Ephedrine | 150,000 | 487.00 | 0.32% |
| d,l-Ephedrine | 200,000 | 417.95 | 0.21% |
| l-Ephedrine | 100,000 | 350.20 | 0.35% |
| Fenfluramine | 4,000 | 433.30 | 10.83% |
| 4-Fluoromethcathinone (Flephedrone; 4-MC) | 200,000 | 311.05 | 0.16% |
| 3-Hydroxy-Tyramine | 500,000 | 250.55 | 0.04% |
| Isoxsuprine | 500,000 | 147.85 | 0.03% |
| Mephentermine | 25,000 | 107.50 | 0.43% |
| l-Methamphetamine | 5,000 | 486.45 | 9.73% |
| para-Methoxyamphetamine (PMA) | 400 | 12.75 | 3.19% |
| para-Methoxymethylamphetamine (PMMA) | 500 | 374.70 | 74.94% |
| Methylenedioxyamphetamine (MDA) | 1,400 | 28.60 | 2.04% |
| Methylenedioxyethylamphetamine (MDEA) | 10,000 | 350.15 | 3.50% |
| Methylenedioxymethylamphetamine (MDMA) | 1,000 | 389.10 | 38.91% |
| 4-Methylmethcathinone (Mephedrone; 4-MMC; PMMC) | 100,000 | 393.40 | 0.39% |
| Phendimetrazine | 150,000 | 300.35 | 0.20% |
| Phenethylamine | 25,000 | 294.55 | 1.18% |
| Phenmetrazine | 40,000 | 418.45 | 1.05% |
| Phentermine | 20,000 | 40.20 | 0.20% |
| phenylephrine | 300,000 | 467.60 | 0.16% |
| d,l-Phenylpropanolamine | 150,000 | 92.30 | 0.06% |
| d-Pseudoephedrine | 112,500 | 441.25 | 0.39% |
| l-Pseudoehedrine | 200,000 | 178.25 | 0.09% |
| Tranylcypromine | 50,000 | 286.70 | 0.57% |
| Tyramine | 400,000 | 350.05 | 0.09% |
Cross-reactivity of non-structurally related compounds was evaluated by testing compounds spiked into urine samples containing d-methamphetamine at levels $\pm 25\%$ of the $500~\mathrm{ng/mL}$ cutoff. Non-structurally related compounds were tested at the concentration levels indicated in the table below. Cross-reactivity was evaluated with the assay's calibrated dose-response curve. Results from these studies are summarized below:
{9}
| Non-Structurally Related Compounds | Target Concentration (ng/mL) | Response equivalent to cutoff (ng/mL) | % Cross Reactivity |
| --- | --- | --- | --- |
| Acetaminophen | 400,000 | 2.9 | 0.001 |
| Acetylsalicylic acid | 500,000 | 7.4 | 0.001 |
| Amoharbital | 250,000 | 72.3 | 0.029 |
| Benzoylecgonine | 250,000 | 75.2 | 0.030 |
| Bromopheniramine | 250,000 | 100.3 | 0.040 |
| Burpropion | 100,000 | 90.6 | 0.091 |
| Buspiron | 125,000 | 86.1 | 0.069 |
| Caffeine | 500,000 | 9.1 | 0.002 |
| Chlorpheniramine | 250,000 | 47.2 | 0.019 |
| Chlorpromazine | 250,000 | 99.6 | 0.040 |
| Codeine | 250,000 | 79.5 | 0.032 |
| Dextromethorphan | 500,000 | 11.4 | 0.002 |
| Doxepine | 200,000 | 11.5 | 0.006 |
| Meperidine | 250,000 | 79.6 | 0.032 |
| Methadone | 250,000 | 96.5 | 0.039 |
| Methapyrilene | 100,000 | 89.8 | 0.090 |
| Methaqualone | 250,000 | 81.7 | 0.033 |
| Morphine | 500,000 | 8.5 | 0.002 |
| Oxazepam | 250,000 | 85.5 | 0.034 |
| Phencyclidine | 500,000 | 101.1 | 0.020 |
| Phenobarbital | 250,000 | 74.5 | 0.030 |
| Phenothiazine | 50,000 | 24.5 | 0.049 |
| Procainamide | 30,000 | 105.3 | 0.351 |
| Promethazine | 250,000 | 44.6 | 0.018 |
| Propoxyphene | 250,000 | 76.8 | 0.031 |
| Propranolol | 250,000 | 85.2 | 0.034 |
| Ranitidine | 5,000 | 178.0 | 3.559 |
| Scopolamine | 250,000 | 77.5 | 0.031 |
| Secobarbital | 250,000 | 74.9 | 0.030 |
| Sertraline | 125,000 | 106.9 | 0.085 |
| Thioridazine | 250,000 | 99.8 | 0.040 |
| Trazodone | 50,000 | 81.8 | 0.164 |
| Trifluoperazine | 125,000 | 67.9 | 0.054 |
| Trifluopromazine | 125,000 | 65.2 | 0.052 |
| Valproic Acid | 500,000 | 14.8 | 0.003 |
f. Assay cut-off:
There is a 500 ng/mL cutoff concentration claimed for this assay. See section M1a above for performance data around the cutoff.
2. Comparison studies:
a. Method comparison with predicate device:
The sponsor conducted a method comparison study to evaluate the performance of the device for detection of d-methamphetamine by testing 95 unaltered samples (48 negative and 47 positive samples) on the Hitachi 717 analyzer. Results were compared to results obtained with GC/MS or LC/MS. Studies were conducted in semi-quantitative and qualitative modes. Equivalent results were obtained for both modes. Study results are summarized below:
{10}
11
| Method Comparison Results (500 ng/mL Cutoff) | | | | | |
| --- | --- | --- | --- | --- | --- |
| Candidate Device Results | Negative | < 50% of the cutoff (1-250 ng/mL) | Near Negative Cutoff (250-500 ng/mL) | Near Positive Cutoff (500-750 ng/mL) | High Positive (>750 ng/mL) |
| Positive (47 samples) | 0 | 0 | 0 | 9 | 37 |
| Negative (48 samples) | 20 | 16 | 12 | 1 | 0 |
| Discordant Results | |
| --- | --- |
| Candidate Device Result | GC/MS or LC/MS Result |
| Negative | 654 ng/mL |
b. Matrix comparison:
Not applicable.
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:
Not applicable.
N. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Part 809.10.
O. Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
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.