The ForaCare GD20 Blood Glucose Monitoring System is intended to be used for the quantitative measurement of glucose (sugar) in fresh whole blood samples (from the finger, palm, forearm and upper arm.). It is intended for use by a single person and should not be shared. The ForaCare GD20 Blood Glucose Monitoring System is intended for self-testing use outside the body (in vitro diagnostic use) by people with diabetes at home as an aid to monitoring the effectiveness of diabetes control. It should not be used for the diagnosis of or screening for diabetes, or for testing of neonates. Alternative site testing should be done only during steady-state times (when glucose is not changing rapidly). The ForaCare GD20 test strips are for use with the ForaCare GD20 meter to quantitatively measure glucose (sugar) in fresh capillary whole blood samples drawn from fingertips, palm, forearm and upper arm.
Device Story
System measures capillary whole blood glucose via electrochemical biosensor (FAD-GDH enzyme). User applies blood sample to test strip; meter performs amperometric measurement; displays result in mg/dL. Device includes 448-test memory, 4 alarms, and RS232 data transmission port for PC connectivity. Used at home by patients for diabetes management. Healthcare providers review stored data to assess glycemic control. Modifications from predicate include updated outer casing and added data transmission capability. System uses auto-coding; requires no manual calibration. Benefits include convenient, accurate glucose monitoring and digital data tracking for improved diabetes management.
Clinical Evidence
Clinical evidence includes system accuracy and precision testing, a clinical accuracy study using capillary fingertip blood, and a consumer performance study. All studies met EN ISO 15197 and FDA guidance requirements. A human factors study validated the usability of the data transmission feature for lay users. Bench testing confirmed 100% accuracy of data transmission to the Fora Health Care System software. Software validation and cleaning/disinfection validation (for HBV) were also performed.
Technological Characteristics
Electrochemical biosensor technology using glucose dehydrogenase. System includes meter, test strips, and control solutions. Features RS232 connectivity for data transmission. Fixed measurement unit (mg/dL).
Indications for Use
Indicated for people with diabetes for quantitative self-testing of capillary whole blood glucose levels at home. Not for neonates, diagnosis/screening of diabetes, or critically ill patients. Contraindicated for patients who are dehydrated, hypotensive, in shock, or in hyperglycemic-hyperosmolar state (with/without ketosis).
Regulatory Classification
Identification
A glucose test system is a device intended to measure glucose quantitatively in blood and other body fluids. Glucose measurements are used in the diagnosis and treatment of carbohydrate metabolism disorders including diabetes mellitus, neonatal hypoglycemia, and idiopathic hypoglycemia, and of pancreatic islet cell carcinoma.
Special Controls
*Classification.* Class II (special controls). The device, when it is solely intended for use as a drink to test glucose tolerance, is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 862.9.
Predicate Devices
U-RIGHT TD-4252 Blood Glucose Monitoring System (k101631)
Submission Summary (Full Text)
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510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION
DECISION SUMMARY
ASSAY AND INSTRUMENT COMBINATION TEMPLATE
A. 510(k) Number:
k124040
B. Purpose for Submission:
Modification to cleared meter for outer casing design, software modifications to support data transmission of the cleared meter (k101631). Test strip and software for measurement have not changed.
C. Measurand:
Capillary Whole Blood Glucose
D. Type of Test:
Quantitative, electrochemical biosensor, glucose dehydrogenase FAD
E. Applicant:
TaiDoc Technology Corporation
F. Proprietary and Established Names:
ForaCare GD20 Blood Glucose Monitoring System
G. Regulatory Information:
1. Regulation section:
21CFR Sec.-862.1345 Glucose test system.
2. Product code:
NBW - system, test, blood glucose, over the counter
LFR - glucose dehydrogenase, glucose
3. Classification:
Class II
4. Panel:
Clinical Chemistry (75)
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H. Intended Use:
1. Intended use(s):
See indications for use below
2. Indication(s) for use:
The ForaCare GD20 Blood Glucose Monitoring System is intended to be used for the quantitative measurement of glucose (sugar) in fresh whole blood samples (from the finger, palm, forearm and upper arm). It is intended for use by a single person and should not be shared.
The ForaCare GD20 Blood Glucose Monitoring System is intended for self-testing outside the body (in vitro diagnostic use) by people with diabetes at home as an aid to monitoring the effectiveness of diabetes control. It should not be used for the diagnosis of or screening for diabetes, or for testing of neonates. Alternative site testing should be done only during steady-state times (when glucose is not changing rapidly).
The ForaCare GD20 test strips are for use with the ForaCare GD20 meter to quantitatively measure glucose (sugar) in fresh capillary whole blood samples drawn from fingertips, palm, forearm and upper arm.
3. Special conditions for use statement(s):
- For in vitro diagnostic use only
- For over-the-counter use
- For single-patient use only
- Not intended for use on neonates
- Not for the diagnosis of or screening for diabetes mellitus
- Not for use on patients who are dehydrated, hypotensive, in shock, or for individuals in hyperglycemic-hyperosmolar state, with or without ketosis.
- Not for use in critically ill patients
- AST results should not be used to calibrate a continuous glucose monitor (CGM) or in insulin dose calculations
4. Special instrument requirements
ForaCare GD20 Blood Glucose Meter
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I. Device Description:
The systems consist of three main components: the meter (modified), test strips (previously cleared in k101631), and control solutions (previously cleared in k101631).
The system consists of FORA GD20 meter, FORA GD20 test strips (sold separately), FORA control solutions Level 1, Level 2 and Level 3 (sold separately), and auto-disabling single use lancing devices (sold separately). The FORA GD20 meter is a “no code” meter and can be operated from 50°F to 104°F (10°C to 40°C), below 85% RH (non-condensing). The device can be used to measure glucose in fresh capillary whole blood from the fingertips, palm, forearm and upper arm. The FORA GD20 meter has 4 alarm settings, easy-slide strip ejector and a 448 test memory with date and time.
J. Substantial Equivalence Information:
1. Predicate device name(s):
U-RIGHT TD-4252 Blood Glucose Monitoring System
2. Predicate 510(k) number(s):
k101631
3. Comparison with predicate:
| Item | Predicate device | Proposed device |
| --- | --- | --- |
| Brand name | U-RIGHT TD-4252 Blood Glucose Monitoring System | ForaCare GD20 Blood Glucose Monitoring System |
| Model no | TD-4252 | GD20 |
| Similarities | | |
| Device | U-RIGHT TD-4252D (k101631) | ForaCare GD20 |
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| Item | Predicate device | Proposed device |
| --- | --- | --- |
| Indications for use | The U-RIGHT TD-4252 Blood Glucose Monitoring System is intended to be used for the quantitative measurement of glucose in fresh capillary whole blood (from the finger, palm, forearm and upper arm). It is intended for use by people with diabetes at home as an aid to monitoring the effectiveness of diabetes control. It should not be used for the diagnosis of or screening for diabetes, or testing on neonates.
This system is intended to be used by a single person and should not be shared.
The U-RIGHT TD-4252 test strips are for use with the | Same as predicate |
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| Item | Predicate device | Proposed device |
| --- | --- | --- |
| | U-RIGHT TD-4252 meter to quantitatively measure glucose (sugar) in fresh capillary whole blood samples drawn from fingertips, palm, forearm and upper arm. Alternative site testing should be done only during steady-state times (when glucose is not changing rapidly). | |
| | | |
| Detection mechanism | | |
| Detection method | Amperometry: | Same as predicate |
| Specifications | | |
| Temperature compensation | Automatic compensation with built-in thermistor | Same as predicate |
| Sample volume (μL) | 0.7 μL | Same as predicate |
| Reaction time (sec) | 7 sec. | Same as predicate |
| Measurement range | 20-600 mg/dL | Same as predicate |
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| Item | Predicate device | Proposed device |
| --- | --- | --- |
| Power source | One CR2032 | Same as predicate |
| Strip Ejection | Yes | Same as predicate |
| Hematocrit effect | 20% to 60% | Same as predicate |
| Operation condition | 50 °F to 104°F (10 °C to 40 °C), 10% to 85% RH | Same as predicate |
| Functions | | |
| Power saving | Auto turn-off after 3 minutes without action | Same as predicate |
| Calibration | No coding required | Same as predicate |
| Temperature unit | °F | Same as predicate |
| Measurement mode | General and QC (quality control) | Same as predicate |
| QC test stored in memory | No | Same as predicate |
| Day Average | 7,14,21,28,60,90 Days | Same as predicate |
| Test Strip | | |
| Enzyme | Glucose dehydrogenase FAD | Same as predicate |
| Detection method | Amperometry | Same as predicate |
| Blood Volume | 0.7 μL | Same as predicate |
| Reaction time | 7 Sec | Same as predicate |
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| Item | Predicate device | Proposed device |
| --- | --- | --- |
| Strip Storage/Transportation condition | 35.6°F - 89.6°F (2°C - 32°C), 10% to 85% R.H. | Same as predicate |
| Differences | | |
| Device | U-RIGHT TD-4252D (K101631) | ForaCare GD20 |
| Functions | | |
| Data transmission function | No | RS232-4 Poles |
| Measurement unit | mg/dL or mmol/L | mg/dL |
| Physical appearance | | |
| Outer casing | M button, C button, Set button, LENS, Top cover, Bottom cover, Ejection | M button, C button, Set button, LENS, Top cover, Bottom cover, Ejection button, data |
| Size (mm) Length X width X height | 89.6(L) x53.8 (W) x16.1(H) | 87 (L) x 51 (W) x 15 (H) |
| Weight (g) | 40.6g | 42g |
# K. Standard/Guidance Document Referenced (if applicable):
ISO15197:2003, In Vitro diagnostic test systems - Requirements for blood-glucose monitoring systems for self-testing in managing diabetes
IEC 60601-1, Medical Electrical Equipment - Part 1: General Requirements for Safety 1: Collateral Standard: Safety Requirements
IEC 60601-1-2, Medical electrical equipment - Part 1-2: General requirements for
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safety- Collateral standard: Electromagnetic compatibility
ISO 14971:2007, Medical devices - Application of risk management to medical devices
L. Test Principle:
The detection and measurement of glucose in blood is by an electrochemical biosensor technology using glucose dehydrogenase. The FORA GD20 Blood Glucose Monitoring System employs flavin adenine dinucleotide-glucose dehydrogenase (FAD-GDH) enzyme chemistry as the standard dry reagent assay for glucose in whole blood. This enzyme assay, with a redox chemical "mediator" reaction, is used to generate an electrical current proportional to the glucose concentration in the blood sample. The system is designed as an amperometric measurement device using current generated from the redox reaction as the measurable response.
M. Performance Characteristics (if/when applicable):
Modifications do not impact analytical performance established in k101631 and therefore complete performance testing was not required.
1. Analytical performance:
a. Precision/Reproducibility:
Precision includes intermediate precision (day-to-day precision) and repeatability (within-day precision). For intermediate precision, three levels of glucose control solutions were used, and this evaluation was performed for ten days. Repeatability was performed with spiked venous blood samples Mean, SD and CV% of each of 3 lots was reported. Overall mean, SD and CV% was also calculated. SD and 95% confidence interval (CI) for the SD of each glucose level is reported for glucose concentration levels < 75 mg/dL. CV% of each glucose level is reported for glucose concentration levels ≥ 75 mg/dL.
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Results of intermediate precision
| Control Solutions | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Low level (30-50 mg/dL) | | | Normal level (96-144 mg/dL) | | | High level (280-420 mg/dL) | | | |
| | | | | | | | | | |
| | Lot 1 | Lot 2 | Lot 3 | Lot 1 | Lot 2 | Lot 3 | Lot 1 | Lot 2 | Lot 3 |
| Mean | 40.5 | 41.0 | 40.8 | 130.5 | 132.2 | 131.0 | 316.2 | 315.1 | 317.8 |
| SD | 1.70 | 1.56 | 1.59 | 3.89 | 3.91 | 4.17 | 10.13 | 9.98 | 10.10 |
| CV | 4.19% | 3.82% | 3.89% | 2.98% | 2.96% | 3.18% | 3.20% | 3.17% | 3.18% |
| Overall mean | | | 40.8 | | | 131.2 | | | 316.5 |
| Overall SD | | | 1.61 | | | 4.03 | | | 10.03 |
| Overall CV | | | 3.95% | | | 3.07% | | | 3.17% |
Results of repeatability precision
| | Level 1 (30-50 mg/dL) | | | Level 2 (51-110 mg/dL) | | | Level 3 (111-150 mg/dL) | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | Lot 1 | Lot 2 | Lot 3 | Lot 1 | Lot 2 | Lot 3 | Lot 1 | Lot 2 | Lot 3 |
| Mean | 42.3 | 42.5 | 41.8 | 80.3 | 80.7 | 79.8 | 134.7 | 136.4 | 135.5 |
| SD | 1.70 | 1.72 | 1.85 | 2.41 | 2.43 | 2.30 | 4.08 | 4.23 | 4.21 |
| CV | 4.0% | 4.04% | 4.43% | 3.03% | 3.01% | 2.88% | 3.03% | 3.10% | 3.10% |
| Overall mean | | | 42.1 | | | 80.2 | | | 135.5 |
| Overall SD | | | 1.78 | | | 2.37 | | | 4.18 |
| Overall CV | | | 4.23% | | | 2.96% | | | 3.09% |
| | Level 4 (151-250 mg/dL) | | | Level 5 (251-400 mg/dL) | | |
| --- | --- | --- | --- | --- | --- | --- |
| | Lot 1 | Lot 2 | Lot 3 | Lot 1 | Lot 2 | Lot 3 |
| Mean | 232.2 | 230.4 | 233.3 | 348.9 | 352.3 | 348.3 |
| SD | 6.58 | 6.59 | 6.60 | 10.50 | 10.41 | 10.71 |
| CV | 2.84% | 2.86% | 2.83% | 3.01% | 2.95% | 3.08% |
| Overall mean | | | 232.1 | | | 349.7 |
| Overall | | | 6.63 | | | 10.60 |
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| SD | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Overall CV | | | 2.86% | | | 3.03% |
b. Linearity/assay reportable range:
Linearity was established in k101631. The reportable range is 20-600 mg/dL
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
Controls and test strips were previously cleared. Traceability and Stability for controls and test strips were previously established in k101631
Ranges for control solutions 1, 2, and 3 are 52.35 mg/dL (41.88 to 62.82 mg/dL), 154.79 mg/dL (123.83 to 185.75 mg/dL), and 314.63 mg/dL (251.7 to 377.56 mg/dL), respectively.
d. Detection limit:
The reportable range is 20-600 mg/dL based on linearity established in k101631.
e. Analytical specificity:
As established in k101631
f. Assay cut-off:
Not applicable
2. Comparison studies:
a. Method comparison with predicate device:
As established in k101631.
System level verification of accuracy was tested only to establish the modifications being made to the device has not adversely impacted performance.
Testing was performed for venous whole blood testing using criteria per ISO 15197. The YSI 2300 Glucose Analyzer (YSI Inc., Yellow Spring, OH) was used as the plasma comparative method to matched whole blood tested on the
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ForaCare GD20 Blood Glucose Monitoring System. The range of glucose values tested was from 32.7 to 563 mg/dL; and 180 samples were distributed throughout the range per ISO 15197 illustrated below.
| Glucose Concentration (mg/dL) | Total distribution (n= 180) | Number of Samples |
| --- | --- | --- |
| | Percentage of Samples % | |
| < 50 | 5.0% | 9 |
| 50 to 80 | 15.0% | 27 |
| 80 to 120 | 20.0% | 36 |
| 120 to 200 | 30.0% | 54 |
| 201 to 300 | 15.0% | 27 |
| 301 to 400 | 10.0% | 18 |
| >400 | 5.0% | 9 |
The tables below illustrate 100% of the results agreed within 20% of the YSI plasma values at glucose concentrations ≥75 mg/dL, while 100% agreed within ±15 mg/dL at glucose concentrations <75 mg/dL, meeting ISO 15197 acceptance criteria.
Results less than 75 mg/dL
| Within ± 5 mg/dL
(Within ± 0.28 mmol/L) | Within ± 10 mg/dL
(Within ± 0.56 mmol/L) | Within ± 15 mg/dL
(Within ± 0.83 mmol/L) |
| --- | --- | --- |
| 8 / 26 (30.8%) | 22 / 26 (84.6%) | 26 / 26 (100%) |
Results greater than or equal to 75 mg/dL
| Within ±5 % | Within ±10 % | Within ±15 % | Within ±20 % |
| --- | --- | --- | --- |
| 71 / 154 (46.1%) | 136 / 154 (88.3%) | 149 / 154 (96.8%) | 154 / 154 (100%) |
b. Matrix comparison:
As established in k101631
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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): As established in k101631
4. Clinical cut-off: Not Applicable
5. Expected values/Reference range:
| Time of day | People without diabetes |
| --- | --- |
| Fasting and before meals | <100 mg/dL |
| 2 hours after meals | <140 mg/dL |
American Diabetes Association (2012) Clinical Practice Recommendations; Diabetes Care, 35 (Supplement 1): S1-100
N. Instrument Name:
ForaCare GD20 Blood Glucose Meter
O. System Descriptions:
1. Modes of Operation:
Does the applicant’s device contain the ability to transmit data to a computer, webserver, or mobile device:
Yes ☐ or No ☐
Does the applicant’s device transmit data to a computer, webserver, or mobile
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device using wireless transmission?:
Yes __ or No _x __
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:
There is no sample identification function with this device. Samples are applied directly to the test strip as they are collected.
4. Specimen Sampling and Handling:
This device is intended to be used with capillary whole blood from the finger and other alternative sites (palm, forearm, upper-arm, calf and thigh). Since the whole blood sample is applied directly to the test strip, there are no special handling or storage issues.
5. Calibration:
Auto-coding.
6. Quality Control:
FORA control solutions Level 1, Level 2 and Level 3 (sold separately) can be run with the ForaCare GD20 Blood Glucose Monitoring System. This meter has a ‘C button’ to mark the test with control solutions to prevent control results from being stored in the internal memory as patient results. Recommendations on when to test the control materials are provided in the labeling. The control solution readings are not included in the average of the patient results. An acceptable range for each control level is printed on the test strip vial label. The user is cautioned
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not to use the meter if the control result falls outside these ranges.
P. Other Supportive Instrument Performance Characteristics Data Not Covered In The "Performance Characteristics" Section above:
1. Applicable temperature and humidity studies; sample volume study; Altitude study; hematocrit study were established in k101631
2. System level verification was performed to demonstrate that modifications have not adversely affected device performance.
a. Temperature and humidity were verified as compared to YSI.
b. Quality Control current board (QC board) was conducted to evaluate the accuracy of 10 meters of the modified Foracare GD20 between the dynamic range of 10-700 mg/dL. The QC board is designed to simulate 6 levels of glucose concentration: 10, 50, 100, 200, 400 and 700 mg/dL when connected with the meter, it will send an electrical current to the meter equivalent to the total amount of charge generated by the glucose oxidation reaction at a certain glucose concentration. The meter then process the current and display it in mg/dL unit. Testing passed acceptance criteria.
3. The labeling contains the following contact information: 1-866-469-2632 (toll-free 24 hours, 7 days/week)
4. The applicant performed human factors testing to assess the use of "ForaCare Health Care System Software" for the data transmission feature of GD20 meter. The study evaluated the usability of the software on 30 participants of basic computer skills. The evaluations, including the usability of downloading and set-up of the software on the PC, operating the data transmission from the meter to the software, and questionnaire survey after the test, have demonstrated the accuracy of the activity completion rate was 100% that the software and the data transmission are easy to use by the users.
5. Bench testing using 3 meters was conducted that demonstrated the accuracy of data transmission from the meter to the data management system software is 100% with respect to meter memory rollover and data transmission.
6. Electromagnetic Compatibility (EMC) testing was performed and was certified as passing testing criteria.
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7. The applicant provided software documentation and testing that supports that the device was developed and is under good software lifecycle processes.
8. Infection Control Studies: The device is intended for single-patient use. Disinfection efficacy studies were performed on the materials comprising the meterby outside commercial testing demonstrating complete inactivation of hepatitis B virus (HBV) (Duck) with the chosen disinfectant Micro-Kill+ (EPA Registration # 59894-40-37549). Robustness studies were also performed by the sponsor demonstrating that there was no change in performance or external materials for each of the meters after 5000 cleanings and 5000 disinfection steps with Micro-Kill+, using two separate wipes for each cleaning and disinfection cycle. The robustness studies were designed to stimulate 5 years of single-patient use. Labeling was reviewed for adequate instructions for the validated cleaning and disinfection procedures.
9. The applicant assessed Foracare GD20 Blood Glucose Monitoring System's labeling, including Owner's manual and Test strip user's manual and obtained a grade level of 7.9 using the Flesch-Kincaid method.
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.
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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.
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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.
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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
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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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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.