The Wescor ChloroChek Chloridometer test system is intended for the quantitative in vitro diagnostic determination of chloride in human sweat using the principle of coulometric titration. Sweat chloride measurements are used in the diagnosis of Cystic Fibrosis. It is for use in Clinical Laboratory settings. The Wescor ChloroChek Chloridometer test system consists of the ChloroChek Chloridometer and the ChloroChek Reagent Set. The ChloroChek Reagent Set (SS-248), is to be used on the ChloroChek. It is used as the titration matrix during the titration process. The 100 mmol/L NaCl/H2O Standard Solution (SS-251), is to be used on the ChloroChek. It is used as a calibration verifier, and quality control solution. The Wescor Sweat Controls (SS-150), levels #1, #2, and #3, are to be used on the ChloroChek. They are used as quality control solutions.
Device Story
The ChloroChek Chloridometer is a benchtop analyzer for quantitative determination of chloride in human sweat. It utilizes coulometric titration; the device measures chloride concentration by monitoring the titration process within a matrix of ChloroChek Reagent Set (acid buffer and gelatin solution). The system requires 10 uL of sweat sample. It is operated by laboratory personnel in clinical settings. The device provides a digital readout of chloride concentration in mmol/L. Clinicians use these results to assist in the diagnosis of Cystic Fibrosis. The system is factory-calibrated and requires daily conditioning and quality control checks using provided standard and control solutions. The device benefits patients by providing a standardized, automated method for sweat chloride analysis, which is a critical diagnostic marker for CF.
Clinical Evidence
Method comparison study performed on 170 total sweat samples (80 in first study, 90 in second) collected using an FDA-cleared device. Samples ranged from ≤10 to 160 mmol/L. Comparison against predicate showed high agreement (R² 0.9886–0.9896). Positive/negative percent agreement was 100% in the first study; 100% positive and 98.7% negative agreement in the second. No clinical sensitivity/specificity studies required as this is an analytical chemistry device.
Technological Characteristics
Table-top coulometric titration analyzer. Components: anode/cathode silver electrodes, measurement electrode, magnetic stir bar. Reagents: acid buffer, colloid stabilizer. Measuring range: 10-160 mmol/L. Resolution: 1 mEq/L. Factory calibrated. Electrical safety per IEC 61010-1; EMC per EN 61326-2-9-6.
Indications for Use
Indicated for quantitative in vitro diagnostic determination of chloride in human sweat to aid in the diagnosis of Cystic Fibrosis. For use in clinical laboratory settings.
Regulatory Classification
Identification
A chloride test system is a device intended to measure the level of chloride in plasma, serum, sweat, and urine. Chloride measurements are used in the diagnosis and treatment of electrolyte and metabolic disorders such as cystic fibrosis and diabetic acidosis.
{0}
1
# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY AND INSTRUMENT COMBINATION TEMPLATE
A. 510(k) Number:
k121823
B. Purpose for Submission:
New device
C. Measurand:
Sweat chloride
D. Type of Test:
Quantitative coulometric titration chloride
E. Applicant:
Wescor, Inc.
F. Proprietary and Established Names:
ChloroChek Chloridometer
ChloroChek Reagent Set
Wescor Sweat Controls (Levels 1, 2, 3)
100 mmoL/L NaCl/H2O Standard Solution
G. Regulatory Information:
1. Regulation section:
| Regulation | Name | Classification | Product Code | Panel |
| --- | --- | --- | --- | --- |
| 21 § 862.1170 | Chloride test system | II | JFS | (75) Chemistry |
| 21 § 862.1660 | Quality Control | I, reserved | JJX | (75) Chemistry |
{1}
H. Intended Use:
1. Intended use(s):
See indications for use below.
2. Indication(s) for use:
The Wescor ChloroChek Chloridometer test system is intended for the quantitative in vitro diagnostic determination of chloride in human sweat using the principle of coulometric titration. Sweat chloride measurements are used in the diagnosis of Cystic Fibrosis. It is for use in Clinical Laboratory settings. The Wescor ChloroChek Chloridometer test system consists of the ChloroChek Chloridometer and the ChloroChek Reagent Set.
The ChloroChek Reagent Set (SS-248), is to be used on the ChloroChek. It is used as the titration matrix during the titration process.
The 100 mmol/L NaCl/H2O Standard Solution (SS-251), is to be used on the ChloroChek. It is used as a calibration verifier, and quality control solution.
The Wescor Sweat Controls (SS-150), levels #1, #2, and #3, are to be used on the ChloroChek. They are used as quality control solutions.
3. Special conditions for use statement(s):
In vitro diagnostic use only.
Prescription use only.
4. Special instrument requirements:
ChloroChek Chloridometer
I. Device Description:
The ChloroChek Chloridometer sweat chloride analyzer is an automated device that measures chloride concentration using the principle of coulometric titration. The analyzer uses system reagents for in vitro diagnostic measurements of chloride in sweat samples. The ChloroChek Chloridometer sweat chloride analyzer is designed as a table-top system with all components contained in one unit. The primary components of the ChloroChek Chloridometer sweat chloride analyzer are the anode-silver electrode, cathode-silver electrode, measurement electrode, titration beaker, magnetic stir bar, magnetic stir bar retriever, silver cleaning cloth with oxidation protection, and the associated solutions contained in the ChloroChek Reagent Kit (acid buffer solution and stabilizer-gelatin solution), the conditioning solution of 10 x 0.75 mL, 100 mmol/L ampules of NaCl.
2
{2}
The ChloroChek Reagent Set, Conditioning Solution, and Wescor Sweat Control Solutions are provided with the device in the installation kit but need to be reordered separately for subsequent use.
The Wescor Sweat Controls are provided as 3 levels of ready to use ampules of control material. Each ampule contains an aqueous electrolyte solution, preservatives and sodium azide..
The 100 mmol/L NaCl/H₂O Standard Solution is a sodium chloride solution used as a calibration verifier quality control solution..
## J. Substantial Equivalence Information:
1. Predicate device name(s):
| Predicate device name | 510(k) number |
| --- | --- |
| Buchler Chloridometer Acid Reagent | k760394 |
| Sweat Control for Cystic Fibrosis | k943925 |
| 100 mmol/L NaCl/H₂O Standard Solution | k791312 |
3. Comparison with predicate:
ChloroChek Chloridometer
| Similarities | | |
| --- | --- | --- |
| Item | Proposed device | Predicate device (k760394) |
| Intended Use | Same | In vitro measurement of Chloride |
| Measurement Principle | Same | Coulometric titration with amperometric indication of endpoint |
| Resolution | Same | 1 mEq/L over a 20 second measurement duration |
| Reagents | Same | Liquid, ready-to-use |
| Measuring Range | Same | 10 mmol/L to 160 mmol/L |
| Limitations | Same | Halogens (iodine, bromide, etc.) interfere, if present |
| Reference Range | Same | Sweat chloride:
Infant (0-6 months):
Normal range ≤ 29 mmol/L
Intermediate range 30-59 mmol/L
Indicative of CF range ≥ 60 mmol/L
6 months to >18 yrs:
Normal range ≤ 39 mmol/L
Intermediate range 40-59 mmol/L
Indicative of CF range ≥ 60 mmol/L |
{3}
4
| Differences | | |
| --- | --- | --- |
| Item | Proposed device | Predicate device (k760394) |
| Sample Type | Human sweat | Human sweat, serum, plasma, urine |
| Sample size | 10 mcL | 10 mcL on LOW range setting, 100 mcL on HIGH range setting |
| Working Reagent Stability | Replaced with each test | Stable for eight hours at room temperature |
| Calibration Frequency | Factory calibrated | Factory calibrated. Users can adjust if error exceeds specifications |
Wescor Sweat Controls
| Similarities | | |
| --- | --- | --- |
| Item | Proposed device | Predicate device (k943925) |
| Intended Use | Same | Quality control for chloride measurement |
| Number of control levels | Same | Low, Medium, High |
100 mmoL/L NaCl/H₂O Standard Solution
| Similarities | | |
| --- | --- | --- |
| Item | Proposed device | Predicate device (k791312) |
| Intended Use | Same | Aqueous based 100 mmol/L chloride standard for use with digital and direct reading chloridometers |
K. Standard/Guidance Document Referenced (if applicable):
CLSI EP5-A2: Evaluation of Precision Performance of Quantitative Measurement Methods; Approved Guideline—Second Edition.
CLSI C34-A3: Sweat Testing: Sample Collection and Quantitative Chloride Analysis; Approved Guideline—Third Edition.
CLSI EP6-A: Evaluation of the Linearity of Quantitative Measurement Procedure: A Statistical Approach; Approved Guideline.
CLSI EP17-A: Protocols for Determination of Limits of Detection and Limits of Quantification—Approved Guideline.
CLSI EP9-A2: Method Comparison and Bias Estimation Using Patient Samples; Approved Guideline—Second Edition.
{4}
IEC 61010-1, Safety Requirements for Electrical Equipment for Measurement, Control, and Laboratory Use.
EN 61326-2-9-6, Electrical Equipment for Measurement, Control, and Laboratory Use—EMC requirements, Parts 2-6.
FDA Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices; May 11, 2005
FDA Guidance for Off-the-Shelf Software Use in Medical Devices; June 4, 1997.
## L. Test Principle:
The ChloroChek Chloridometer sweat chloride analyzer operates according to the principle of coulometric titration. Two silver electrodes (anode and cathode), are dipped into a measuring vessel filled with working solution consisting of an acid buffer and a colloid stabilizer. A constant current (generator current) flows between the anode and cathode. The acid buffer provides hydrogen ion (H+) which is reduced to H₂ at the cathode. A generator current flows between the anode and cathode at a constant rate thereby releasing a constant number of silver ions (Ag+) from the anode. Any chloride (Cl-) from the sample dissociates and binds to the free silver ions in solution forming silver chloride (AgCl) which is kept in solution with the colloid stabilizer. The measuring electrode senses the change in potential when excess Ag+ are present due to the exhaustion of available Cl- from the sample. The results are a direct readout of the titrated Cl- ions.
## M. Performance Characteristics (if/when applicable):
### 1. Analytical performance:
#### a. Precision/Reproducibility:
Using CLSI EP5A2, repeatability was performed using 1 ChloroChek Chloridometer sweat chloride analyzer and 1 reagent lot.
Within run precision was obtained by performing 2 runs per day, two measurements per run for 1 standard (100 mmol/L) and 3 concentrations of control materials (Low, Medium, and High), using one ChloroChek analyzer and one reagent lot (n=80) for 20 days. The results were:
| Sample | Mean(mmol/L) | SD | %CV |
| --- | --- | --- | --- |
| Low Sweat Control | 23.0 | 0.55 | 2.4% |
| Medium Sweat Control | 49.7 | 0.72 | 1.4% |
| High Sweat Control | 98.9 | 0.82 | 0.8% |
Total precision study was performed using 2 ChloroChek analyzers, 2 reagent lots and 3 operators. 3 levels of control materials, and 2 Standard Solutions were
{5}
analyzed covering the measuring range of the device. Controls were analyzed in duplicate twice per day for consecutive 10 days (n=240). Summarized results are below:
| | Instrument 1 | | | Instrument 2 | | | Overall | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Sample | Mean mmol/L | SD | %CV | Mean mmol/L | SD | %CV | Mean mmol/L | SD | %CV |
| Low Sweat Control | 22 | 0.9 | 4.0 | 22 | 0.9 | 4.1 | 22 | 0.9 | 4.0 |
| Medium Sweat Control | 49 | 0.8 | 1.5 | 49 | 0.9 | 1.9 | 49 | 0.8 | 1.7 |
| High Sweat Control | 98 | 0.9 | 0.9 | 98 | 0.9 | 1.0 | 98 | 1.0 | 1.0 |
| 100 mmol/L NaCl Standard | 100 | 1.0 | 1.0 | 100 | 1.0 | 1.0 | 100 | 1.0 | 1.0 |
| 10 mmol/L NaCl Standard | 10 | 0.6 | 5.6 | 10 | 0.6 | 5.5 | 10 | 0.6 | 5.6 |
b. Linearity/assay reportable range:
The linearity study was based on CLSI EP6-A. 11 samples covering the measuring range of the ChloroChek test system were formulated using NIST traceable NaCl (SRM 2201) and analyzed in triplicate on 1 instrument with one reagent lot. Results were analyzed using $1^{\text{st}}$ , $2^{\text{nd}}$ , and $3^{\text{rd}}$ order least-squared regression to obtain the linear and non-linear regression coefficients. Results were as follows:
| Dilution | Mean | Expected values mmol/L | Difference Observed - Expected |
| --- | --- | --- | --- |
| 0% | 8.4 | 8.4 | 0.0 |
| 10% | 24.3 | 24.0 | 0.3 |
| 20% | 39.9 | 39.6 | 0.4 |
| 30% | 55.2 | 55.2 | 0.0 |
| 40% | 71.7 | 70.8 | 0.8 |
| 50% | 87.4 | 86.5 | 0.9 |
| 60% | 103.0 | 102.1 | 1.0 |
| 70% | 117.9 | 117.7 | 0.3 |
| 80% | 134.4 | 133.3 | 1.1 |
| 90% | 148.9 | 148.9 | 0.0 |
| 100% | 166.5 | 164.5 | 2.0 |
$$
y = 0. 9 9 3 3 x - 0. 0 4 0 7, R ^ {2} = 0. 9 9 9 9
$$
The linearity study supports the sponsor's claimed measuring range of 10-160 mmol/L for the Chlorocheck test system and meets the recommended measuring range for sweat chloride analysis by the National Cystic Fibrosis Foundation, and
{6}
CLSI EPC34-A3.
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
The ChloroChek Chloridometer is factory calibrated. Calibration is verified using the 100 mmol/L NaCl/H2O Standard Solution.
The 100 mmol/L NaCl/H2O Standard Solution and is purchased from a commercially available source. The value is gravimetrically assigned and verified on the Wescor ChloroChek. Stability and storage protocols were reviewed and found to be acceptable. Conditions were evaluated and verified for the following temperature and time limits: open vial stability 23-34°C for 30 minutes, closed vial stability 5-45°C for 60 months.
The Wescor Sweat Controls consist of Low, Medium and High chloride concentrations and are purchased from a commercially available source. Value assignment of the controls for the ChloroChek Chloridometer is performed by averaging multiple replicates on one instrument and multiplying the means by ± 0.10 to determine the expected assigned ranges for each control level. Stability and storage conditions protocols were reviewed and found to be acceptable. The sponsor claims open vial stability 23-34°C for 60 minutes and closed vial stability 25°C until expiration date in labeling.
Shelf life stability for the ChloroChek Reagent protocols were reviewed and found to be acceptable. Conditions were evaluated and verified for the following temperature and time limits: stability for 3 years after manufacturing when stored at 5-45°C.
d. Detection limit:
Limit of the Blank (LoB) and Limit of Detection (LoD) studies were based on CLSI EP17-A2. Distilled water was used as a blank solution and analyzed 60 times. Mean, median and SD were calculated.
$$
\mathrm{LoB} = 0\ \mathrm{mmol/L}
$$
LoD studies were performed using 4 diluted sample pools prepared from 4 different Sweat Control lots in order to obtain a concentration close to four times the calculated value of the LoB. The data were not Gaussian, therefore, the sponsor calculated the LoD with the formula $\mathrm{LoD} = \mathrm{LoB} + \mathrm{D}_{\mathrm{s}\beta}$ where $\mathrm{D}_{\mathrm{s}\beta}$ is determined by calculating the median minus the 5th percentile of low concentration of the sample distribution.
$$
\mathrm{LoD} = 0.0 + [(4.6 + 4.7)/2] = 4.65\ \mathrm{mmol/L}
$$
{7}
e. Analytical specificity:
CLSI C34-A3, Sweat Testing: Sample Collection and Quantitative Chloride Analysis; Approved Guideline—Third Edition was referenced for specificity information for the ChloroChek based on the technology used by this device. CLSI states in section 9.6 that "In addition to chloride, other halides such as bromide and iodide are also detected using a chloridometer. Therefore, if a sweat sample contains other halides in addition to chloride, they will be detected and can falsely elevate the sweat chloride result."
f. Assay cut-off:
Not applicable.
2. Comparison studies:
a. Method comparison with predicate device:
Sweat samples were collected from 2 locations using an FDA cleared sweat collection device (k853973) from 80 individuals. The ages of the participants ranged from 17 months to 67 years old. The natural samples ranged from ≤ 10 to 100 mmol/L. In order to cover the measuring range, 9 spiked samples were added (n=89) to cover the high end of the range (131-160). Singlicate results from the ChloroChek test system were compared to the calculated mean of duplicate analyses for each sample on the predicate. Linear regression was calculated with results shown below:
| Slope (95% CI) | Intercept (95% CI) | R² |
| --- | --- | --- |
| 0.9999 (0.976, 1.022) | 0.875 (-0.659, 2.410) | 0.9886 |
Classification of samples as negative, intermediate, and indicative of Cystic Fibrosis (CF) were made following the labeled instructions for expected ranges for sweat chloride.
Comparison to the predicate is as follows:
| | Predicate | | | Total | |
| --- | --- | --- | --- | --- | --- |
| | | +* | ±** | -*** | |
| ChloroChek | + | 21 | 0 | 0 | 21 |
| | ± | 0 | 6 | 0 | 6 |
| | - | 0 | 0 | 53 | 53 |
| | Total | 21 | 6 | 53 | 80 |
*+ = positive, **± = indeterminate, -** = negative
Positive percent agreement=100%, Negative percent agreement=100%, Intermediate percent agreement=100%, Overall percent agreement = 100%
{8}
An additional study was performed at a third location on 90 sweat samples. Samples were collected using an FDA cleared sweat collection device (k853973) and analyzed in singlicate on both the new device and the predicate using labeled instructions. The study participants ranged in age from 0.5 months old to 63 years old and sweat chloride concentrations ranged from ≤ 10 to 120 mmol/L. The results were:
| Slope (95% CI) | Intercept (95% CI) | R² |
| --- | --- | --- |
| 1.066 (1.043, 1.089) | -0.979 (-1.876, -0.082) | 0.9896 |
Classification of samples as negative, intermediate and indicative of Cystic Fibrosis (CF) were made following the labeled instructions for expected values for sweat chloride.
Comparison to the predicate is as follows:
| | Predicate | | | Total | |
| --- | --- | --- | --- | --- | --- |
| | | + | ± | - | |
| ChloroChek | + | 8 | 0 | 0 | 8 |
| | ± | 0 | 3 | 1* | 4 |
| | - | 0 | 0 | 78 | 78 |
| | Total | 8 | 3 | 79 | 90 |
* The result on the predicate device was 38 mmol/L and was 41 mmol/L on the new device. This sample was from an individual older than 6 months old and was borderline for the intermediate category (40-59 mmol/L). CLSI C34-A3 recommends repeating intermediate results.
Positive percent agreement=100%, Negative percent agreement=98.7%, Intermediate percent agreement=75%, Overall percent agreement = 98.8%
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
{9}
4. Clinical cut-off:
Not applicable
5. Expected values/Reference range¹:
| Age | Normal Range | Intermediate Range | Indicative of CF Range |
| --- | --- | --- | --- |
| Infants (0-6 months) | Cl- ≤ 29 mmol/L | Cl- 30-59 mmol/L | Cl- ≥ 60 mmol/L |
| Beyond infancy (6 months to 18 yrs) | Cl- ≤ 39 mmol/L | Cl- 40-59 mmol/L | Cl- ≥ 60 mmol/L |
| Adults (> 18 yrs) | Cl- ≤ 39 mmol/L | Cl- 40-59 mmol/L | Cl- ≥ 60 mmol/L |
¹CLSI C34-A3: Sweat Testing: Sample Collection and Quantitative Chloride Analysis; Approved Guideline—Third Edition.
N. Instrument Name:
Wescor ChloroChek Chloridometer
O. System Descriptions:
1. Modes of Operation:
Single sample testing mode
2. Software:
FDA has reviewed applicant’s Hazard Analysis and software development processes for this line of product types:
Yes ☐ X or No ☐
3. Specimen Identification:
Manual entry of sample identification is accomplished via a touch screen.
4. Specimen Sampling and Handling:
Individual samples are pipetted into the working reagent. The device begins titrating immediately. When the device stops titrating, the result is displayed
5. Calibration:
The Wescor ChloroChek is factory calibrated.
6. Quality Control:
{10}
Three levels of quality control material are sold separately. Recommendations in the labeling explain the frequency of quality control measurements and the assigned ranges for the ChloroChek are included in the control labeling.
The 100 mmol/L NaCl/H2O Standard Solution verifies calibration and can be used as a high control. Labeling recommends calibration verification intervals.
P. Other Supportive Instrument Performance Characteristics Data Not Covered In The "Performance Characteristics" Section above:
Q. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Part 809.10.
R. Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
11
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.