The Bioland G-423 BLOOD GLUCOSE MONITORING SYSTEM is intended to be used for the quantitative measurement of glucose (sugar) in fresh capillary whole blood samples drawn from the fingertips. This system is intended to be used by a single person and should not be shared. The Bioland G-423 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 monitor the effectiveness of diabetes control. The Bioland G-423 Blood Glucose Monitoring System should not be used for the diagnosis of or screening for diabetes, nor for neonatal use. The Bioland G-423 Test Strips are for use with the Bioland G-423 Blood Glucose Meter to quantitatively measure glucose (sugar) in fresh capillary whole blood samples drawn from the fingertips.
Device Story
System consists of a blood glucose meter and test strips; utilizes electrochemical biosensor technology with glucose oxidase (A. Niger) to measure glucose in fresh capillary whole blood samples. Operated by patients at home for self-monitoring of diabetes control. User applies blood sample to test strip inserted into meter; device performs quantitative measurement; displays result to user. Output assists patients in tracking diabetes management effectiveness. System is intended for single-person use.
Clinical Evidence
Clinical accuracy study conducted with 182 lay-users and trained operators. Samples ranged 35-578 mg/dL. Results met ISO 15197:2003 criteria: 95% of results within ±15 mg/dL (at <75 mg/dL) or ±20% (at ≥75 mg/dL) of YSI reference values. Precision studies (repeatability and intermediate) showed CVs < 3.5%. Linearity verified across 15-621 mg/dL range (r² > 0.99).
Technological Characteristics
Electrochemical biosensor using glucose oxidase (A. Niger). System comprises a meter and test strips. Validated for accuracy, precision, and environmental interference (hematocrit, altitude).
Indications for Use
Indicated for self-testing of blood glucose levels in people with diabetes using fresh capillary whole blood from fingertips. Not for neonatal use, diagnosis, or screening of diabetes. Single-patient use only.
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
Prodigy Blood Glucose System (k053593)
Submission Summary (Full Text)
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510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION
DECISION SUMMARY
ASSAY AND INSTRUMENT COMBINATION TEMPLATE
A. 510(k) Number:
k113077
B. Purpose for Submission:
Clearance of a new device
C. Measurand:
Capillary whole blood glucose
D. Type of Test:
Quantitative amperometric assay
(Glucose Oxidase)
E. Applicant:
Taidoc Technology Corporation
F. Proprietary and Established Names:
Bioland G-423 Blood Glucose Monitoring System
G. Regulatory Information:
1. Regulation section:
21 CFR 862.1345 Glucose Test System
2. Classification:
Class II
3. Product code:
NBW, Blood Glucose Test System, Over-the-Counter
CGA, Glucose Oxidase, Glucose
4. Panel:
Clinical Chemistry (75)
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H. Intended Use:
1. Intended use(s):
See indication(s) for use below
2. Indication(s) for use:
The Bioland G-423 BLOOD GLUCOSE MONITORING SYSTEM is intended to be used for the quantitative measurement of glucose (sugar) in fresh capillary whole blood samples drawn from the fingertips. This system is intended to be used by a single person and should not be shared.
The Bioland G-423 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 monitor the effectiveness of diabetes control. The Bioland G-423 Blood Glucose Monitoring System should not be used for the diagnosis of or screening for diabetes, nor for neonatal use.
The Bioland G-423 Test Strips are for use with the Bioland G-423 Blood Glucose Meter to quantitatively measure glucose (sugar) in fresh capillary whole blood samples drawn from the fingertips.
3. Special conditions for use statement(s):
- Not for use with neonates
- For In Vitro diagnostic use only
- Not for use on critically ill patients, patients in shock, dehydrated patients or hyperosmolar patients
- Allows testing on the fingertip only
- For single patient use only
4. Special instrument requirements:
Bioland G-423 Blood Glucose Meter
I. Device Description:
The Bioland G-423 Blood Glucose Monitoring System, Model G-423 is comprised of the G-423 Blood Glucose Meter, G-423 Blood Glucose Test Strips, Taidoc control solution cleared under k093724 and Lancet device.
J. Substantial Equivalence Information:
1. Predicate device name(s):
Prodigy Blood Glucose System
2. Predicate 510(k) number(s):
k053593
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# 3. Comparison with predicate:
| Similarities and Differences | | |
| --- | --- | --- |
| Device | Predicate (k053593) | Candidate Device (G-423) |
| Indications for use | Intended to be used for the quantitative measurement of glucose in capillary whole blood from the fingertip. It is intended for use by people with diabetes mellitus at home (Over-the Counter) as an aid in monitoring the effectiveness of diabetes control program. | Same as predicate |
| Detection method | Amperometry: measuring a current produced by a chemical reaction | Same as predicate |
| Enzyme | Glucose oxidase | Same as predicate |
| Power source | 1 x CR2032 battery (3V) | Same as predicate |
| Temperature compensation | Automatic compensation with built-in thermister | Same as predicate |
| Reaction time (sec) | 10 | Same as predicate |
| Measurement range | 20-600 mg/dL | Same as predicate |
| Operating condition | 50 °F - 104°F (4°C - 40°C), below 85% R.H. | 50 °F - 104°F (4°C - 40°C), below 90% R.H. |
| Test Strip Calibration | Use code strip to calibrate the meter | Same as predicate |
| Measurement mode | General and control solution | Same as predicate |
| Special message | Lo/Hi/Ketone | Same as predicate |
| Power saving | Auto turn-off after 3 minutes without action | Same as predicate |
| Test Strip | Revolution Blood Glucose Test Strip | Bioland G-423 Blood Glucose Test Strips |
| Sample volume | 1.8μL | Same as predicate |
| Test Strip chemical component | 10% Glucose oxidase (A. niger) 50% Electron shuttle 8% Enzyme protector 32% Non-reactive ingredients | Same as predicate |
| Strip Storage/Transportation condition | 39.2F-104F(4°C - 40°C), below 85% R.H. | Same as predicate |
| Memory feature | 450 measurements | 180 measurements |
| Size Length x width x height | 88mm(L) x 62mm(W) x 22mm(H) | 81mm(L) x 62mm (W) x 19mm (H) |
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Weight (excl. battery)
46.5g
54.6g
## K. Standard/Guidance Document Referenced (if applicable):
- IEC/EN 60601-1-2: (2001): Medical electrical equipment Part 1-2: General requirements for safety Collateral standard: Electromagnetic compatibility Requirements and tests-Edition 2.1; Edition 2:2001 consolidated with amendment 1:2004
- ISO 15197:2003, In Vitro Diagnostic Test Systems—Requirements for Blood Glucose Test Systems for Self Managing Diabetes Mellitus
- ISO 14971:2007, Medical devices – Application of risk management to medical devices
- CLSI/NCCLS EP7-A; Interference Testing in Clinical Chemistry; Approved Guideline
- CLSI EP6-P2 Evaluation of the Linearity of Quantitative Measurement Procedures: A Statistical Approach; Proposed Guideline
- IEC/EN 61010-1 / 2001; Safety requirements for electrical equipment for measurement, control and laboratory use - Part 1: general requirements
- EN 13640:2002 Stability testing of in vitro diagnostic medical devices
- CLSI EP9-A: Method comparison and bias estimation using patient samples; approved guideline
## L. Test Principle:
The Bioland G-423 Blood Glucose Monitoring System, Model G-423 uses electrochemical methodologies. The system quantitatively measures blood glucose levels using an amperometric method, which involves detecting the current produced from glucose oxidation. The electrons generated during this reaction are transferred from the blood to the electrodes. The magnitude of the resultant current is proportional to the concentration of glucose in the specimen and the signal is converted into a readout displayed on the meter.
## M. Performance Characteristics (if/when applicable):
### 1. Analytical performance:
**a. Precision/Reproducibility:**
The sponsor evaluated repeatability evaluation and intermediate precision studies using a protocol based on the ISO 15197. Five levels of venous whole blood over the claimed assay range were used to establish repeatability of the assay. Each sample was analyzed on ten Bioland G-423 glucose meters by one operator using three lots of test strips, for a total of 300 measurements per meter per level. Results are summarized in the following tables:
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Individual Lot Results (Mean of 10 meters):
| Level 1: | Lot 1 | Lot 2 | Lot 3 |
| --- | --- | --- | --- |
| Mean glucose (mg/dL) | 39.7 | 39.9 | 40.1 |
| Std Dev | 1.4 | 1.5 | 1.4 |
| % CV | 3.5 | 3.7 | 3.5 |
| Level 2: | Lot 1 | Lot 2 | Lot 3 |
| --- | --- | --- | --- |
| Mean glucose (mg/dL) | 88.6 | 88.2 | 88.8 |
| Std Dev | 2.3 | 2.2 | 2.5 |
| % CV | 2.6 | 2.5 | 1.7 |
| Level 3: | Lot 1 | Lot 2 | Lot 3 |
| --- | --- | --- | --- |
| Mean glucose (mg/dL) | 141.7 | 141.7 | 142.2 |
| Std Dev | 2.5 | 2.4 | 2.5 |
| % CV | 1.7 | 1.7 | 1.7 |
| Level 4: | Lot 1 | Lot 2 | Lot 3 |
| --- | --- | --- | --- |
| Mean glucose (mg/dL) | 200.1 | 200.1 | 199.7 |
| Std Dev | 5.3 | 5.5 | 8.6 |
| % CV | 2.6 | 2.7 | 2.9 |
| Level 5: | Lot 1 | Lot 2 | Lot 3 |
| --- | --- | --- | --- |
| Mean glucose (mg/dL) | 301.4 | 300.9 | 301.5 |
| Std Dev | 8.6 | 8.6 | 9.1 |
| % CV | 2.9 | 2.9 | 3.0 |
Summary of Results:
| Level # (glucose range mg/dL) | Mean | SD | %CV |
| --- | --- | --- | --- |
| Level 1 (30 – 50) | 39.9 | 1.43 | --- |
| Level 2 (51 – 100) | 88.5 | 2.26 | 2.55 |
| Level 3 (111 – 150) | 141.9 | 2.46 | 1.73 |
| Level 4 (151 – 250) | 199.9 | 5.24 | 2.71 |
| Level 5 (251 – 400) | 301.3 | 8.77 | 2.91 |
In addition, the intermediate precision was tested using three levels of control solutions. (Level 1, 30 – 50; Level 2, 96 – 144 and Level 3, 280-420 mg/dL). Each sample was tested on ten glucose meters, with three strip lots for a total of ten days. %CV was calculated for levels 2 and 3 only. Results are summarized in the following table:
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Individual Lot Results (Mean of 10 Meters):
| Level 1
(30-50 mg/dL) | Lot 1 | Lot 2 | Lot 3 |
| --- | --- | --- | --- |
| Mean (mg/dL) | 39.7 | 39.6 | 40.0 |
| SD (mg/dL) | 2.3 | 2.3 | 2.1 |
| Level 2
(96-144 mg/dL) | Lot 1 | Lot 2 | Lot 3 |
| --- | --- | --- | --- |
| Mean (mg/dL) | 120.0 | 120.2 | 119.7 |
| SD (mg/dL) | 3.6 | 3.4 | 4.1 |
| CV (%) | 3.0 | 2.8 | 3.4 |
| Level 3
(280-420 mg/dL) | Lot 1 | Lot 2 | Lot 3 |
| --- | --- | --- | --- |
| Mean (mg/dL) | 301.3 | 301.1 | 301.0 |
| SD (mg/dL) | 8.0 | 7.9 | 7.4 |
| CV (%) | 2.6 | 2.6 | 2.5 |
Summary of Results:
| Level# (glucose range mg/dL) | Mean | SD | %CV |
| --- | --- | --- | --- |
| Level 1 (30 – 50) | 39.8 | 2.25 | --- |
| Level 2 (96 – 144) | 120 | 2.54 | 2.94 |
| Level 3 (280 – 420) | 301 | 7.42 | 2.46 |
b. Linearity/assay reportable range:
To determine the linearity regression of the candidate device, venous whole blood samples with nine different blood glucose levels, spanning the entire measuring range (15 to 621 mg/dL), and hematocrit adjusted to 40+/-2% were tested with three strip lots and two Bioland G-423 glucose meters. The YSI 2300D glucose analyzer was used as the reference method.
Linear Regression Analysis:
Lot 1: $y = 0.9929x + 1.4924, r^2 = 0.9999$
Lot 2: $y = 0.9996x + 0.8969, r^2 = 0.9998$
Lot 3: $y = 0.9972x + 0.0323, r^2 = 0.9991$
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
The method comparison was performed using the proposed devices and YSI 2300 glucose analyzer.
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Stability: The storage claims for this device are: 90 days for open vial of strips stored at 35.6 – 89.6 °F (2 – 32 °C) and 12 months for unopened vials of strips stored at 2 - 32°C. The study protocols (accelerated testing and real time studies), summary of results and acceptance criteria were reviewed and found to be adequate.
Control Solutions were previously cleared under k093724.
d. Detection limit:
The measuring range of the system is 20 to 600 mg/dL. This range was verified by the linearity study above.
e. Analytical specificity:
The sponsor performed interference studies with spiked venous blood samples at three glucose concentrations (Level 1 (~75-80 mg/dL), Level 2 (~120 mg/dL) and Level 3 (~300 mg/dL)) that were prepared and divided into a test (dosed) pool and a control pool. The interferents were added to the sample and each sample was analyzed using two test strip lots and three glucose meters. The YSI 2300D glucose analyzer was used as the reference method. The bias between control and dosed samples were calculated for each substance. The table below lists all substances tested at concentrations with insignificant (<10%) interference:
| Substance | Concentration with <10% interference (mg/dL) |
| --- | --- |
| Acetaminophen | <5 |
| Allopurinol | 5 |
| Ascorbic acid | 4 |
| Aspirin | 60 |
| Bilirubin | 20 |
| Cholesterol | 500 |
| Creatinine | 5 |
| Dopamine | <1.25 |
| Galactose | 1000 |
| Ibuprofen | 55 |
| Lactose | 1000 |
| L-Dopa | <0.7 |
| Maltose | 1000 |
| Methyl Dopa | <0.625 |
| Tetracycline | 4 |
| Tolbutamide | 50 |
| Xylose | <6.25 |
| Uric Acid | <10 |
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The following warning statement is included in the test strip insert:
- Acetaminophen at concentration of 5 mg/dL and higher interferes with glucose concentration reading
- Dopamine at concentration of 1.25 mg/dL and higher increases glucose concentration reading
- L-dopa at concentration of 0.7 and higher increases glucose concentration reading
- Methyldopa at concentration of 0.625 mg/dL and increases glucose concentration reading
- Xylose at concentration of 6.26 mg/dL and higher increases glucose concentration reading
- Uric acid at concentration of 10 mg/dL and higher increases glucose concentration reading
f. Assay cut-off:
Not applicable
2. Comparison studies:
a. Method comparison with predicate device:
Method Comparison:
The sponsor conducted a combined accuracy and consumer study with trained operators and a total of 182 lay-users. Each lay user participant performed their own fingerstick and tested their blood on the Bioland G-423 meter using only the instructions in the user's manual and test strip insert. A trained operator then performed a second fingerstick and tested the blood on the same meter. Venous whole blood was also collected and measured on an YSI analyzer. The total range of samples tested was 35 to 578 mg/dL, with a hematocrit range of 31.3-54.4%. A total of 20 samples (11 samples < 50 mg/dL and 9 samples > 400 mg/dL) were glycolyzed or spiked, respectively and tested by trained operators only. Linear regression results are presented below:
Trained operator vs. YSI-2300 y = 1.024 x - 1.602, r² = 0.9901, x = 202
Lay user vs. YSI-2300 y = 1.013 x + 1.273, r² = 0.9870, x = 182
The study results met the ISO 15197 accuracy criteria where ninety-five percent (95%) of the individual glucose results fell within ±15 mg/dL of the YSI results at glucose concentrations <75 mg/dL and within ±20% at glucose concentrations ≥75 mg/dL.
For glucose concentrations <75 mg/dL
| | within ± 5 mg/dL | within ± 10 mg/dL | within ± 15 mg/dL |
| --- | --- | --- | --- |
| Trained operators | 9/31 (29%) | 27/31 (87.1%) | 31/31 (100%) |
| Lay users | 6/20 (30%) | 18/20 (90%) | 20/20 (100%) |
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For glucose concentrations ≥ 75 mg/dL
| | within ± 5 % | within ± 10 % | within ± 15 % | within ± 20 % |
| --- | --- | --- | --- | --- |
| Trained operators | 85/171 (49.7%) | 156/171 (91.2%) | 171/171 (100%) | 171/171 (100%) |
| Lay users | 73/162 (45%) | 150/162 (92.6%) | 161/162 (99.4%) | 161/162 (99.4%) |
b. Matrix comparison:
Not applicable. Capillary whole blood is the only indicated matrix.
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:
The device labeling contains the following reference range statement from the American Diabetes Association Clinical Practice Recommendations (2012, Diabetes Care, V35 S1: S1-100).
| Time of Day | Normal plasma glucose range for people without diabetes (mg/dL) |
| --- | --- |
| Fasting and before meal | Less than 100 mg/dL (5.6 mmol/L) |
| 2 hours after meals | Less than 104 mg/dL (7.8 mmol/L) |
N. Instrument Name:
Bioland G-423 Blood Glucose Meter
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O. System Descriptions:
1. Modes of Operation:
Each test strip is single use and must be replaced with a new strip for additional readings. Does the applicant’s device contain the ability to transmit data to a computer, webserver, or mobile device?:
Yes ___ or No ___ x ___
Does the applicant’s device transmit data to a computer, webserver, or mobile 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 samples from the finger. Since the whole blood sample is applied directly to the test strip there are no special handling or storage issues.
5. Calibration:
A code number is provided with each batch of test strips to calibrate the meter for that batch. The code number is associated with the meter by inserting a test strip and requires entering the code number to match that found on the test strip bottle. No further calibrations are required of the user.
6. Quality Control:
Controls are not included in the G-423 Blood Glucose Monitoring System, but the labeling explains which controls should be used with the meter. The labeling also provides recommendations on when to test control materials. The meter will read the control solution just like a blood sample, and control results are displayed but not stored in memory. An acceptable range for each control level is printed on the test strip vial label. If the control values fall outside these ranges, the user is told to contact customer support.
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P. Other Supportive Instrument Performance Characteristics Data Not Covered In The "Performance Characteristics" Section above:
1. **Infection Control Studies:**
The device system is intended for single-patient use. Disinfection efficacy studies were performed on the materials comprising the meter and lancing device by an outside commercial testing laboratory demonstrating complete inactivation of hepatitis B virus (HBV) with the chosen disinfectant, DISPATCH® Hospital Cleaner Disinfectant Towels with Bleach by CALTECH wipes (EPA Registration # 59894-10-37549). Robustness studies were also performed by the sponsor demonstrating that there was no change in performance or external materials of the meter and lancing device after 5000 cleanings and 5000 disinfection steps with the DISPATCH® Hospital Cleaner Disinfectant Towels with Bleach by CALTECH wipes (EPA Registration # 59894-10-37549). The robustness studies were designed to simulate 5 years of single-patient use. Labeling was reviewed for adequate instructions for the validated cleaning and disinfection procedures.
2. **Hematocrit study:**
To study the effect of hematocrit, venous blood samples at six glucose concentrations (~30 mg/dL, 75 mg/dL, 150 mg/dL, 250 mg/dL, 400 mg/dL and 500 mg/dL) and hematocrit adjusted to 20, 25, 30, 35, 40, 45, 50, 55, 60, 65 and 70 were evaluated on the Bioland G-423 Blood Glucose Monitoring System and compared to the YSI values. In addition, measurements obtained on the Bioland glucose meter were compared to a normal hematocrit (40%). The data supports the sponsor’s claim that hematocrit 15%-55% does not significantly interfere (more than ±15%) with glucose measurements using the test system.
3. **Altitude study:**
An altitude study was performed at elevations up to 10,774 feet with 5 different concentrations of glucose spiked venous whole blood spanning 30 to 500 mg/dL glucose range. Sea level results (98 feet above sea level) were compared to results at higher elevations and to YSI values and were found to be acceptable.
4. **Temperature and humidity studies:**
Temperature and humidity studies were conducted to demonstrate that the Bioland G-423 device can be used at temperatures of 50 to 104°F (4 to 40°C) and at a relative humidity from 60% to 90%, and stored at temperatures of -4 to 140°F (-20 to 60°C) with a relative humidity from 60% to 90%. Studies were conducted with combinations of temperature and humidity to include low temperature and low humidity, low temperature and high humidity, high temperature and low humidity, and high temperature and high humidity. Study results were reviewed and were found to be acceptable, supporting the sponsor stated temperature and humidity claims.
5. **Electromagnetic Interference Studies:**
Additional electromagnetic interference study was performed to verify these new
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products. The results of this study complied with standards listed in the Standard/Guidance Document Referenced section above.
6. Specimen volume study:
A study to evaluate the effect of different sample volumes (1.00, 1.10, 1.20, 1.35, 1.50, 1.65, 1.80 and 2.50μl) was conducted to demonstrate that the meter requires a minimum of 1.8 μl volume to obtain an accurate reading.
7. Readability:
The sponsor provided a readability study and obtained Flesch-Kincaid grade level scores of 8 or lower for the User's Manual (6.5), test strips (7.8).
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.
12
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.