The Ascensia BRIO™ Blood Glucose Monitoring System is for the Self-Monitoring of Blood Glucose as an adjunct to the care of person with diabetes.
Device Story
The Ascensia BRIO™ Blood Glucose Monitoring System is an electrochemical meter used with reagent test strips to measure glucose levels in fingertip capillary whole blood. The device is intended for use by persons with diabetes or healthcare professionals in home or clinical settings. The system measures the electrical current generated by the reaction of glucose with glucose oxidase on the test strip electrode. Results are displayed to the user to assist in the management of diabetes. The system provides a linear response to glucose concentrations ranging from 30-550 mg/dL.
Clinical Evidence
Clinical evaluations were conducted internally and externally by persons with diabetes. Results demonstrated that users obtain blood glucose measurements substantially equivalent to current methods. No specific sensitivity, specificity, or p-values were provided in the summary.
Technological Characteristics
Electrochemical sensing using glucose oxidase reagent on test strip electrodes. Linear measurement range: 30-550 mg/dL. System is specific for glucose and referenced to plasma glucose values. Form factor includes a meter and 50-count plastic bottles of test strips.
Indications for Use
Indicated for use with fingertip capillary whole blood specimens for the quantitative measurement of glucose in persons with diabetes. Used as an adjunct to the care of persons with diabetes.
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
Ascensia Elite Diabetes Care System (k020208, k990649, k991242)
Submission Summary (Full Text)
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY ONLY TEMPLATE
A. 510(k) Number:
k043158
B. Purpose for Submission:
New product
C. Measurand:
Glucose, home glucose monitoring test
D. Type of Test:
Quantitative
E. Applicant:
Bayer Healthcare LLC
F. Proprietary and Established Names:
Ascensia BRIO Blood Glucose Monitoring System: blood glucose monitor
G. Regulatory Information:
1. Regulation section:
21 CFR §862.1345, Blood Glucose Test System, Over-the-Counter
2. Classification:
Class II
3. Product code:
NBW, CGA
4. Panel:
Clinical Chemistry (75)
H. Intended Use:
1. Intended use(s):
A glucose test system is intended to measure glucose quantitatively in blood and other bodily fluids. Glucose measurements are used in the diagnosis and treatment of carbohydrate metabolism disorders including diabetes mellitus, neonatal hypoglycemia, and idiopathic hypoglycemia, and pancreatic islet cell tumors.
2. Indication(s) for use:
"The Ascensia BRIO Blood Glucose Meter is used with Ascensia EASYFILL Blood Glucose Test Strips and Ascensia EASYFILL Control Solutions (Low, Normal, and High) for the measurement of glucose in whole blood. The Ascensia BRIO Blood Glucose Monitoring System is an Over-the-Counter (OTC) device used by persons with diabetes and by healthcare professionals in home settings and in healthcare facilities."
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The Ascensia BRIO Blood Glucose Monitoring System is indicated for use with fingertip capillary whole blood specimens.
The frequent monitoring of blood glucose is an adjunct to the care of persons with diabetes."
3. Special conditions for use statement(s):
This product is intended for over-the-counter and point-of-care use.
4. Special instrument requirements:
None; this is a complete blood glucose monitoring system.
I. Device Description:
The Ascensia BRIO Blood Glucose Monitoring System consists of a hand-held blood glucose meter, test strips, and control materials. Each lot of test strips has a code chip containing lot-specific calibration information that the machine reads automatically. The meter is turned on by strip insertion; the user then supplies finger-tip blood or control solution to the strip and the meter makes an audible tone and starts the assay, which completes in ten seconds. The meter's software converts the results read off the test strip into a plasma glucose concentration and displays the value on the meter's LCD screen.
J. Substantial Equivalence Information:
1. Predicate device name(s):
Ascensia Elite Diabetes Care System (including Ascensia Elite Blood Glucose Meter, Ascensia Elite Test Strips, and Ascensia Elite controls (low, normal, and high).
2. Predicate 510(k) number(s):
k020208, k990649, k991242
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Ascensia BRIO | Ascensia ELITE |
| Intended Use | Blood glucose monitoring for home and point-of-care | Same |
| System Components | Meter, calibration code strip, test strip, check strip, battery, control solutions | Same |
| Specimen | Capillary blood | Same, and approved for arterial and neonatal specimens |
| Test Principle/ Enzyme/ Mediator | Electrochemical/ Glucose oxidase/ Potassium ferricyanide | Same/ same/ same |
| Calibration | Automatic | Same |
| Stability | Strips and controls, 3 mo | Same |
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| | after opening | |
| --- | --- | --- |
| Power Source | 3V lithium battery | Same |
| Differences | | |
| Item | Ascensia BRIO | Ascensia ELITE |
| Test Range | 30 – 550 mg/dL | 20 – 600 mg/dL |
| Sample Volume | 2.5 ul | 2.0 ul |
| Test Time | 10 seconds | 30 seconds |
| Hematocrit Range | 30 – 55% | 20 – 60% |
| Operating Range | 57 – 104° F, relative humidity < 80% | 50 – 104° F, relative humidity 20 - 80% |
| Memory Capability | 10 test results | 20 test results |
| Size | 100x58x21 (mm) | 81x51x14 (mm) |
| Weight | 64 grams | 50 grams |
K. Standard/Guidance Document Referenced (if applicable):
| Area of Study | Reference Procedure | Procedure Title |
| --- | --- | --- |
| Method Comparison/Anticoagulant Studies | NCCLS EP9-A | User Comparison of Quantitative Clinical Laboratory Methods Using Patient Samples |
| Precision | NCCLS EP5-A | User Evaluation of Precision Performance of Clinical Chemistry Devices |
| Linearity | NCCLS EP6-A | Evaluation of the Linearity of Quantitative Methods |
| Interferences/Cross-Reactivity | NCCLS EP7-A | Interference Testing in Clinical Chemistry |
| Stability | Chemistry/Reagent Development Procedures | Reagent Stability Guidelines for Access |
| Guidance | ISO 15197 | In vitro diagnostic test systems- Requirements for blood-glucose monitoring systems for self-testing in managing diabetes mellitus |
| Clinical Outcome Effects | Parkes JL et al., Diabetes Care 23:1143 (2000) | “A new consensus error grid to evaluate the clinical significance of inaccuracies in the measurement of blood glucose” |
L. Test Principle:
The test is based on the release of electrical potential after a two-step reaction where
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glucose and ferricyanide, in the presence of glucose oxidase, are converted into gluconolactone and ferrocyanide. Ferrocyanide, when electrical current is applied, becomes ferricyanide and releases electrons; the increase in current measured after 10 seconds by the meter is proportional to the glucose concentration. As the rate of the chemical reaction is proportional to temperature, the meter also takes the temperature into account when calculating the glucose concentration.
## M. Performance Characteristics (if/when applicable):
### 1. Analytical performance:
#### a. Precision/Reproducibility:
Within-run and between-run precision were tested with three test strip lots for 10 days. Whole blood was glycolyzed for 18 hours at 25°C, then spiked with glucose (see below) and tested once a day. Ten replicates of each of level of whole blood samples were tested in each run. Three replicates of each of the control solutions were tested twice a day (20 total runs).
Precision in 3 Lots of Ascensia BRIO Test Strips
| Whole Blood Samples | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | | Within-Run | | Between Run | | Overall | |
| Strip Lot | Mean (mg/dL) | Std Dev | %CV | Std Dev | %CV | Std Dev | %CV |
| CS700D | 55 | 2.4 | 4.4 | 3.6 | 6.5 | 4.3 | 7.9 |
| | 131 | 4.1 | 3.1 | 3.0 | 2.3 | 5.0 | 3.9 |
| | 458 | 12.0 | 2.6 | 9.8 | 2.1 | 15.5 | 3.4 |
| CS700E | 61 | 2.9 | 4.7 | 4.0 | 6.5 | 5.0 | 8.0 |
| | 143 | 4.3 | 3.0 | 4.4 | 3.1 | 6.2 | 4.3 |
| | 502 | 11.3 | 2.2 | 11.7 | 2.3 | 16.2 | 3.2 |
| CS700F | 66 | 2.9 | 4.5 | 3.0 | 4.6 | 4.2 | 6.4 |
| | 144 | 5.6 | 3.9 | 4.0 | 2.8 | 6.9 | 4.8 |
| | 496 | 11.8 | 2.4 | 10.3 | 2.1 | 15.6 | 3.2 |
| Control Samples | | | | | | | |
| | | Within-Run | | Between Run | | Overall | |
| Strip Lot | Mean (mg/dL) | Std Dev | %CV | Std Dev | %CV | Std Dev | %CV |
| CS700D | 46 | 1.8 | 3.9 | 2.7 | 5.8 | 3.2 | 6.9 |
| | 100 | 2.2 | 2.2 | 1.6 | 1.5 | 2.7 | 2.7 |
| | 297 | 6.4 | 2.1 | 6.2 | 2.1 | 8.8 | 3.0 |
| CS700E | 48 | 1.9 | 4 | 2.8 | 5.9 | 3.4 | 7.1 |
| | 105 | 2.3 | 2.2 | 1.9 | 1.8 | 3.0 | 2.8 |
| | 312 | 8.1 | 2.6 | 7.1 | 2.3 | 10.8 | 3.4 |
| CS700F | 53 | 1.7 | 3.3 | 2.6 | 5.0 | 3.1 | 5.9 |
| | 107 | 2.8 | 2.6 | 1.9 | 1.8 | 3.4 | 3.2 |
| | 314 | 6.8 | 2.2 | 7.2 | 2.3 | 9.9 | 3.2 |
These results met Bayer's internal specification for whole-blood precision.
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b. Linearity/assay reportable range:
Upper range linearity study: Plasma was extracted from whole blood samples that had been spiked with glucose. The resulting seven samples, ranging from 36 to 548 mg/dL glucose and each read forty times, were compared to results obtained with the YSI Glucose Analyzer which was calibrated with a set of glucose standards in serum. Three test strip lots were linear over the range tested (r²≥0.996) although there was substantial negative bias compared to the YSI values in the two lowest data points (36 and 56 mg/dL).
Lower range linearity study: Heparinized blood was allowed to glycolyze at 25°C for 18 hours then spiked with glucose to concentrations of approximately 0, 20, 30, 40, and 50 mg/dL. Plasma was extracted, and forty replicates of each concentration were tested with an Ascensia BRIO meter without the glucose cut-off limits set. Regression analysis of the three lots tested showed that they all had a slope of 1.00, but an r² value between 0.830 and 0.911.
The low and high detection limits for the Ascensia BRIO system have been set at 30 and 550 mg/dL glucose. Readings below or above these values will generate a "LO" or "HI" result respectively.
c. Traceability, Stability, Expected values (controls, calibrators, or methods): Control solutions are made by gravimetrically adding glucose to the control base solution. The glucose concentration for each control bulk solution is verified by a glucose hexokinase assay using glucose standards that are traceable to SRM917a, a NIST standard reference material. Value assignments for each lot of control are determined using 10 replicates of randomly selected test strips each on 10 meters to determine mean, standard deviation, and %CV. Control ranges estimates include consideration of the estimated stability shifts of the test strips, control solution, and temperature/humidity effect of the test results at the outer ranges of the operating parameters.
Shelf life studies performed by the manufacturer indicate that unopened sensors have a 15 month life-span. Unopened controls have a 24-month shelf life and are stable for 3 months after opening.
d. Detection limit:
The sensitivity of the Ascensia BRIO assay, defined as the minimum glucose concentration that can be distinguished from a zero concentration sample, was calculated using the low-end linearity data described above. Using twice the standard error of the estimate (Sy,x) calculated from the regression analysis, the average sensitivity for the three test lots was 15 mg/dL glucose.
e. Analytical specificity:
Assay interferents were tested in a dose-response manner following NCCLS
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EP7-A guidelines. A pool of whole blood was allowed to glycolyze for 18 hours at 25°C. Aliquots of the blood were supplemented with glucose to a final concentration of 100 mg/dL and measured on an YSI analyzer. The interferent was prepared with an appropriate solvent, and spiked into the 100 mg/dL blood. A control pool was prepared by supplementing the blood with solvent minus the interferent. A series of four to five levels that included the maximum concentration of the substance that would be expected to be encountered in clinical practice were used for each interferent.
The table below shows the effect of common interferents at the upper end of normal or therapeutic levels on Ascensia BRIO test levels, however, some substances (acetaminophen, ascorbic acid, dopamine, sodium gentisate, iodoacetate, and uric acid) had large biases (≥±20%) at supernormal (≥ 5X normal) concentrations.
Interference at High-Normal or High Therapeutic Levels Ascensia BRIO System
| | Upper End of Therapeutic or Normal Range | % Bias from Normal or Zero | | |
| --- | --- | --- | --- | --- |
| Interferent | | Lot CS700A | Lot CS700B | Lot CS700C |
| Acetaminophen | 2 mg/dL | 4.3 | 3.9 | 3.8 |
| Ascorbic Acid | 2 mg/dL | 1.4 | 1.4 | 1.4 |
| Bilirubin | 1.2 mg/dL | 0 | 0.2 | 0.2 |
| Cholesterol | 300 mg/dL | -1.5 | -1.4 | -1.4 |
| Dopamine | 0.037 mg/dL | 0.2 | 0.2 | 0.2 |
| Gentisate | 0.6 mg/dL | 1.2 | 0.3 | 0.8 |
| Iodoacetate | 100 mg/dL | 24.7 | 29.3 | 30.6 |
| L-dopa | No established therapeutic range, no sig effect at ≤1 mg/dL | | | |
| Methyl-Dopa | 0.75 mg/dL | 4.0 | 3.4 | 2.9 |
| Tolazamide | 3 mg/dL | 3.0 | 2.0 | 2.7 |
| Triglycerides | 190 mg/dL | -0.13 | -0.15 | -0.14 |
| Uric Acid | 7.7 mg/dL | 5.3 | 5.1 | 4.6 |
The anticoagulants EDTA, heparin, and oxalate, and the glycolytic inhibitors fluoride and iodoacetic acid were tested for interference bias. EDTA and heparin are acceptable anticoagulants, but oxalate and the two glycolytic inhibitors gave unacceptably high bias. Therefore, the sponsor does not recommend the use of glycolytic inhibitors with the Ascensia BRIO system.
## Hematocrit Effect:
The effect of sample hemoglobin variation on the Ascensia BRIO system was tested experimentally by preparing samples of known hematocrit (Hct) and spiking aliquots of these samples with different levels of glucose. The calibration information stored in the meter's code chip was established using 40% Hct whole blood. Studies where the Hct of the blood varied but the
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glucose concentration was the same showed that the Ascensia Brio system will have an average change of 1.0% in the reported glucose value for every percent deviation in the sample hematocrit away from 40% Hct.
Glucose concentrations were shown to affect hemoglobin bias of a sample. For example, samples containing low levels of glucose (≤50 mg/dL) did not show a significant hematocrit bias. However, samples in the normal range and above normal range demonstrated that if the sample had a hematocrit greater than 40% there was a substantial negative bias and if the sample had a hematocrit less than 40% there was a positive bias in the meter reading. Bayer has set an internal product specification of mean % Hct bias ≤ ±20% for samples >75 mg/dL glucose when compared to 40% Hct values and ≤ ±15 mg/dL bias for samples ≤ 75 mg/dL; this product meets this specification.
This bias was confirmed in clinical testing with patient samples, as shown in the table below. Whole blood samples were collected at three clinical sites by lay users and health care providers (HCP). Blood glucose levels of these samples were read on the BRIO meter with two test strip lots; a sample was collected for laboratory method determination of blood glucose levels and determination of the subject's Hct. An estimate of the potential bias at six different Hct levels was obtained by least square linear regression analysis.
Hematocrit Effect on Ascensia BRIO Glucose Results
| Glucose Range | n = * | 30% Hct | 35% Hct | 40% Hct | 45% Hct | 50% Hct | 55% Hct. | % ± 20% YSI |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| All (42 to 394) | 1280 | 7.7% | 3.1% | -1.3% | -5.7% | -10% | -14.4% | 97.1% |
| >220 mg/dL | 240 | 4.5% | 1.3% | -2.3% | -5.6% | -9% | -12.3% | 99.6% |
| 127 to 220 mg/dL | 560 | 11.5% | 6.2% | 0.9% | -4.5% | -9.8% | -15.1% | 97.9% |
| 42 to 126 mg/dL | 480 | 4.7% | 1.8% | 1.8% | -4.0% | -6.8% | -9.7% | 95.0 |
* The n is composed of four measurements of each sample; 320 total, 60 above 220 mg/dL, 140 samples between 127 and 220 mg/dL, and 120 samples between 42 to 126 mg/dL
f. Assay cut-off: Not applicable.
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# 2. Comparison studies:
# a. Method comparison with predicate device:
Performance of the Ascensia BRIO and YSI were compared in two studies performed by Bayer. In each study, duplicate donor capillary fingerstick blood samples were applied to three different strip test lots (a total of six samples applied to test strips). Sufficient blood was also collected in microtubes containing sodium heparin and tested on the YSI instrument in duplicate. The results of the two studies are shown below:
Correlation of 2 Studies to Reference Method: Laboratory Studies
| Study | Test Strip Lots | Donors | Samples | Slope | Intercept | R2 | Sample Range |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | CS700A, B, C | 93 | 555 | 0.999 | 1.5 | 0.988 | 35 – 522 |
| 2 | CS700D, E, F | 103 | 618 | 0.975 | 2.5 | 0.980 | 62 – 387 |
97% of the meter results obtained from the six lots of test strip were within the ISO 15197:2003(E) accuracy criteria: $\pm 15\mathrm{mg / dL}$ bias for glucose samples $\leq$ $75\mathrm{mg / dL}$ and $\pm 20\%$ bias for glucose samples $>75\mathrm{mg / dL}$
# b. Matrix comparison:
Not applicable. The meter's software adjusts the whole-blood glucose reading to a plasma-equivalent reading.
# 3. Clinical studies:
Clinical evaluations of Ascensia BRIO system performance were performed at three clinical sites. At least 100 lay-users users and three health-care professionals participated at each site. The lay-users ranged in age, education, and years of diabetes; subjects were about equally divided between males and females, and type-2 diabetes was more common in the participant groups. Duplicate readings were obtained for each of three different strip lots.
# a. Clinical Sensitivity:
The relationship between the Ascensia BRIO system results and laboratory glucose results were evaluated using the Passing-Bablok linear regression method which does not assume that the reference method has no variability. The regression equations for all three clinical sites are shown below.
Regression Analysis of Ascensia BRIO Clinical Studies
| Clinical Site | Strip Lot | Lay-Users vs. Lab | | HCP vs. Lab | |
| --- | --- | --- | --- | --- | --- |
| | | Equation | r value | Equation | r value |
| 1 (n=103) | D | 1.013x-7.38 | 0.98 | 0.996x-4.73 | 0.98 |
| | E | 0.959x+4.21 | 0.97 | 0.969x+1.65 | 0.97 |
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| 2 (n=109) | D | 0.996x-3.00 | 0.98 | 1.007x-4.84 | 0.98 |
| --- | --- | --- | --- | --- | --- |
| | E | 0.988x+0.22 | 0.98 | 0.996x-0.90 | 0.98 |
| 3 (n=108) | D | 0.995x-3.13 | 0.97 | 1.014x-6.83 | 0.97 |
| | E | 0.996x+0.67 | 0.97 | 0.968x+2.14 | 0.98 |
One method of comparing the significance of variability between clinical laboratory results and meter systems such as the Ascensia BRIO is to determine how close the values are to each other. A widely accepted criteria, ISO 15197:2003, suggests that $\geq 95\%$ of all values be within $\pm 20\%$ of the reference value if the sample is $>75~\mathrm{mg / dL}$ and $\pm 15~\mathrm{mg / dL}$ if the sample is $\leq 75~\mathrm{mg / dL}$ . However, differences between the two measurement systems may or may not affect clinical decisions; the Parkes Consensus Error Grid method was used to determine if differences between the methods might affect clinical outcome.
Summary of Accuracy Analysis of Ascensia BRIO Clinical Studies
| Site | n= | Tester | % ±20% Reference | % of Results in Parkes Error Grid Zone | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | A | B | C | D | E |
| 1 | 206 | SUB | 96.6 | 95.6 | 4.4 | 0 | 0 | 0 |
| | | HCP | 96.1 | 96.6 | 3.4 | 0 | 0 | 0 |
| 2 | 218 | SUB | 97.7 | 97.7 | 2.3 | 0 | 0 | 0 |
| | | HCP | 97.7 | 98.2 | 1.8 | 0 | 0 | 0 |
| 3 | 216 | SUB | 96.3 | 96.8 | 3.2 | 0 | 0 | 0 |
| | | HCP | 98.2 | 97.7 | 2.3 | 0 | 0 | 0 |
| ALL | 640 | SUB | 96.9 | 96.7 | 3.3 | 0 | 0 | 0 |
| | | HCP | 97.7 | 97.5 | 2.5 | 0 | 0 | 0 |
# b. Clinical specificity:
Lay users and HCP at each site performed a precision and quality control assessment each day of the study. Each operator performed duplicate measurements with each of three levels of controls using two reagent strip lots. The subjects performed their 12 control replicates immediately after a competence assessment and just before the collection of capillary blood sampling. The table below shows the precision measurements for the lay-users at trial sites 1, 2, and 3; HCP values were similar at all sites.
Clinical Precision of Ascensia BRIO
| Clinical Site | Strip Lot | Control Level | Mean (mg/dL) | Overall % CV |
| --- | --- | --- | --- | --- |
| 1 (n=105 users, 210 samples) | D | Low | 52.4 | 6.8 |
| | E | Low | 54.6 | 7.4 |
| | D | Normal | 112.1 | 4.2 |
| | E | Normal | 116.7 | 4.3 |
| | D | High | 310.6 | 3.5 |
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| | E | High | 321.7 | 3.8 |
| --- | --- | --- | --- | --- |
| 2
(n=110 users, 220 samples) | D | Low | 53.0 | 6.4 |
| | E | Low | 54.7 | 6.2 |
| | D | Normal | 113.2 | 3.9 |
| | E | Normal | 116.8 | 4.1 |
| | D | High | 308.8 | 3.9 |
| | E | High | 321.8 | 3.9 |
| 3
(n=111 users, 222 samples) | D | Low | 53.2 | 5.9 |
| | E | Low | 54.7 | 5.9 |
| | D | Normal | 111.8 | 5.0 |
| | E | Normal | 115.9 | 4.8 |
| | D | High | 308.4 | 3.4 |
| | E | High | 323.0 | 3.7 |
| | | | | |
| Control Level Targets: | | Low | Normal | High |
| | D | 44 – 72 | 91 – 134 | 264 – 357 |
| | E | 43 - 70 | 93 - 136 | 268 – 362 |
c. Other clinical supportive data (when a. and b. are not applicable): The meter was evaluated at high altitude (10,200 ft.) to assess the effect of low oxygen levels on meter performance. Fingerstick samples from 55 people with diabetes were tested in duplicate with three lots of test strips (110 tests/lot, 330 total samples) by a HCP. Hematocrit ranges from 38 to 67% with an average of 50.3% Hct. The meter performed as well at high altitude as at lower elevations in the hands of a HCP.
4. Clinical cut-off: Not applicable.
5. Expected values/Reference range:
The labeling states treatment goals according to the American Diabetes Association as follows:
Medical practice goals for non pregnant people with diabetes are: ¹
Before meal glucose: 90 to 130 mg/dL (5.0 to 7.2 mmol/L)
Bedtime glucose: 110 to 150 mg/dL (6.1 to 8.3 mmol/L)
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.
¹ American Diabetes Association: Standards of Medical Care for Patients With Diabetes Mellitus (Position Statement). Diabetes Care 25 (Suppl. 1): S37, 2002.
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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.