Method Comparison Data ADVIA 1650 Chemistry Ferritin vs. Predicate Method; Method comparison study
Patient samples; Sample Size: 47
N Latex Ferritin
Correlation statistics (Slope, Intercept)
Indications for Use
The ADVIA® 1650 Chemistry Ferritin (FRT) Reagent: For in vitro diagnostic use in the quantitative determination of ferritin in human serum and plasma on the ADVIA® 1650 Chemistry system. Measurements of ferritin aid in the diagnosis of diseases affecting iron metabolism, such as hemochromatosis (iron overload) and iron deficiency anemia. The ADVIA® Chemistry Liquid Specific Protein Calibrators: For in vitro diagnostic use in the calibration of ADVIA® Chemistry systems for the Alpha-Acid-Glycoprotein (AAG), Alpha-1-Antitrypsin (AAT), Anti-streptolysin-O_2 (ASO_2), Complement C3 (C3), Complement C4 (C4), Ferritin (FRT), Haptoglobin (HAPT), Immunoglobulin A_2 (IGA_2), Immunoglobulin G_2 (IGG_2), Immunoglobulin M_2 (IGM_2), Prealbumin (PREALB), Rheumatoid Factor (RF), and Transferrin (TRF) methods.
Device Story
ADVIA Chemistry Ferritin is a ready-to-use liquid reagent for automated clinical chemistry analyzers. Sample is diluted and reacted with antibody-coated latex particles; antibody-antigen complex formation increases turbidity, measured via light absorbance at 658 nm. Ferritin concentration is determined by comparing sample absorbance against a standard curve generated by the ADVIA Chemistry Liquid Specific Protein Calibrator. Used in clinical laboratories by technicians to assist physicians in diagnosing iron metabolism diseases. Output is a quantitative ferritin concentration value used for clinical decision-making regarding iron status.
Clinical Evidence
Method comparison study performed on 47 patient samples comparing ADVIA 1650 Chemistry Ferritin assay to N Latex Ferritin predicate. Results showed a slope of 1.00 (95% CI: 0.97–1.03) and an intercept of 0.00 (95% CI: -3.4–3.4), indicating substantial equivalence.
Technological Characteristics
Liquid, ready-to-use reagents; turbidometric measurement principle; 658 nm wavelength; multi-analyte liquid calibrator derived from human sources; traceable to WHO 3rd International Standard IBSC 94/572; automated chemistry system integration.
Indications for Use
Indicated for quantitative determination of ferritin in human serum and plasma to aid in diagnosis of iron metabolism disorders, including hemochromatosis and iron deficiency anemia. Used on ADVIA Chemistry systems by clinical laboratory professionals.
Regulatory Classification
Identification
A ferritin immunological test system is a device that consists of the reagents used to measure by immunochemical techniques the ferritin (an iron-storing protein) in serum and other body fluids. Measurements of ferritin aid in the diagnosis of diseases affecting iron metabolism, such as hemochromatosis (iron overload) and iron deficiency amemia.
Predicate Devices
N Latex Ferritin reagent (k993273)
Randox Liquid Protein Calibrator (k061056)
Submission Summary (Full Text)
{0}
510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION
DECISION SUMMARY
A. 510(k) Number:
k110736
B. Purpose for Submission:
New device
C. Measurand:
Ferritin
D. Type of Test:
Quantitative, immuno-turbidimetric
E. Applicant:
Siemens Healthcare Diagnostics, Inc.
F. Proprietary and Established Names:
ADVIA® 1650 Chemistry Ferritin (FRT) Reagent
ADVIA® Chemistry Liquid Specific Protein Calibrator
G. Regulatory Information:
1. Regulation section:
21 CFR §866.5340 Ferritin immunological test system
21 CFR §862.1150 Calibrator
2. Classification:
Class II
3. Product code:
DBF: Ferritin, antigen, antiserum, control
JIX: Calibrator, multi-analyte mixture
4. Panel:
Immunology (82)
Clinical Chemistry (75)
H. Intended Use:
1. Intended use(s):
The ADVIA® 1650 Chemistry Ferritin (FRT) Reagent:
For in vitro diagnostic use in the quantitative determination of ferritin in human serum and plasma on the ADVIA® 1650 Chemistry system. Measurements of ferritin aid in the diagnosis of diseases affecting iron metabolism, such as hemochromatosis (iron overload) and iron deficiency anemia.
The ADVIA® Chemistry Liquid Specific Protein Calibrators: For in vitro diagnostic use in the calibration of ADVIA® Chemistry systems for the Alpha-Acid-Glycoprotein (AAG), Alpha-1-Antitrypsin (AAT), Anti-streptolysin-O_2 (ASO_2), Complement C3 (C3), Complement C4 (C4), Ferritin (FRT), Haptoglobin (HAPT), Immunoglobulin A_2 (IGA_2), Immunoglobulin G_2 (IGG_2), Immunoglobulin M_2 (IGM_2), Prealbumin (PREALB), Rheumatoid Factor (RF), and Transferrin (TRF) methods.
2. Indication(s) for use:
Same as Intended Use.
3. Special conditions for use statement(s):
{1}
Prescription use only.
4. Special instrument requirements:
ADVIA® 1650 Chemistry system (k990346)
I. Device Description:
The ADVIA® 1650 Chemistry Ferritin reagents are ready-to-use liquid reagents. They are supplied in two different package sizes, 200 or 800 tests per wedge with 4 wedges per kit.
There are two reagents. Reagent I consists of glycine buffer, pH 8.3 (170mmol/L), sodium chloride (100 mmol/L), bovine serum albumin (0.5%) and sodium azide (0.09%). Reagent 2 contains latex particles coated with rabbit anti-ferritin antibodies, glycine buffer, pH 7.3 (170 mmols/L), sodium chloride (100 mmols/L), bovine serum albumin (0.1%) and sodium azide (0.09%).
ADVIA® Chemistry Liquid Specific Protein Calibrator is a multi-analyte, liquid, human serum based product containing multiple analytes. They are supplied as ready-to-use 1.0-mL solutions in 6 vials, one for each of 6 calibrator levels. The low level (Level 1) is a zero-level calibrator with no analytes present in the formulation. The target ferritin concentrations of Levels 2 – 6 are 25, 50, 100, 225 and 475 mg/dL. All analytes except ferritin and C-reactive protein (CRP) were cleared previously in k103701. There are no changes to the existing products except the addition of ferritin value assignment process and the addition of the ferritin analyte to the intended use of the device.
The recommended controls are three serum pools previously cleared in k992550
J. Substantial Equivalence Information:
1. Predicate device name(s) and predicate K number(s):
N Latex Ferritin reagent (k993273)
Randox Liquid Protein Calibrator (k061056)
2. Comparison with predicate:
Ferritin Reagent
| SIMILARITIES | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Analyte | Ferritin | Same |
| Intended Use | For in vitro diagnostic use in the quantitative determination of ferritin as an aid in the diagnosis of diseases affecting iron metabolism such as hemochromatosis and iron deficiency anemia | For quantitative determination of ferritin |
| Measurement | Quantitative | Same |
| Sample type | Serum, plasma | Same |
| Format | Liquid | Same |
| Antibodies | rabbit anti-ferritin antibodies | Same |
| Use of Calibrators | Yes | Same |
{2}
| DIFFERENCES | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Plasma sample type | Lithium heparin and EDTA plasma | Heparinized plasma |
| Reportable range | 6 – (450-500) ng/mL | Up to 640 ng/mL |
| Method Principle | Turbidimetric | Nephelometric |
| Reagents | Two: R1 and R2 | Three: Reagent, Supplementary A and B |
| Expected values | Men: 20 – 250 ng/mL
Women: 10 – 120 ng/mL | Men: 20 – 290 ng/mL
Women, premenopausal: 4.5 – 170 ng/mL, postmenopausal: 24 – 260 ng/mL |
| Specificity (different isoforms) | Liver: 97.6%
Spleen: 80.3%
Placenta: 57.5%
Heart: 20.9% | Liver; 94.3%
Spleen: 90.4%
Placenta: 103.4%
Heart: 7.8% |
| Instrument | ADVIA® Chemistry Systems | BN System |
| Reagent on-board stability | 60 days | 28 days |
Calibrators
| SIMILARITIES | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Intended Use | For in vitro diagnostic use in the calibration of specific assays | Same |
| Analytes Included | Anti-streptolysin
Complement C3 and C4
CRP
Ferritin
Haptoglobin
IgA, IgG, IgM,
Prealbumin
Transferrin | Same |
| Form | Ready-to-use solutions | Same |
| Traceability for Ferritin | WHO Third International Standard - NIBSC 94/572 | Same |
| Matrix | Buffered base | Same |
| Analyte source | Derived from human source | Same |
| Number of levels | 6 levels (lowest level is a zero-level without any analytes) | Same |
| Volume | 1.0 mL each vial | Same |
{3}
| DIFFERENCES | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Analytes Included | Alpha-acid-glycoprotein (AAG), Alpha-1-Antitrypsin, Rheumatoid Factor. | |
| Instrument | ADVIA® Chemistry Systems | Abbott Spectrum, Architect i2000, Architect i 2000sr; Bayer ADVIA® 1650, 2400, 1200; Dade Dimension RXL, AR, Hitachi 704, 717, 911, 917, 912, 747; AU800, AU600, AU400, AU2700, AU5400; Synchron CX4, CX5, CX7, LX20; ILAB300, ILAB900, ILAB1800, ILAB600; Cobas Mira, Mira S, Mira Plus |
**K. Standard/Guidance Document Referenced (if applicable):**
CLSI EP05-A2 Evaluation of Precision Performance of Quantitative Measurement Methods
CLSI EP17-A Protocols for Determination of Limits of Detection and Limits of Quantitation.
**L. Test Principle:**
In the ADVIA® 1650 Chemistry Ferritin method, a diluted sample reacts with buffer containing latex particles coated with polyclonal rabbit anti-Ferritin antibody. The formation of the antibody-antigen complex results in increased turbidity, which is measured as the amount of light absorbed at 658 nm. Using a standard curve from the absorbance of calibrators, ferritin concentration of a sample can be determined.
**M. Performance Characteristics (if/when applicable):**
**1. Analytical performance:**
**a. Precision/Reproducibility:**
Individual serum pools at various concentrations of ferritin and serum-based control materials were tested. Each sample was assayed in duplicate, 2 runs per day, for at least 20 days, yielding 80 observations for each sample. The results are summarized in the table below:
| Samples | Mean | Within-Run (Repeatability) | | Total (Within-Lab Precision) | |
| --- | --- | --- | --- | --- | --- |
| | ng/mL | SD (ng/mL) | CV (%) | SD (ng/mL) | CV (%) |
| Serum Pool 1 | 12.0 | 0.44 | 3.7 | 1.04 | 8.7 |
| Serum Control 1 | 28.8 | 0.40 | 1.4 | 0.89 | 3.1 |
| Serum Control 2 | 185.3 | 0.78 | 0.4 | 1.49 | 0.8 |
| Serum Pool 2 | 222.8 | 0.87 | 0.4 | 3.99 | 1.8 |
| Serum Control 3 | 297.0 | 1.06 | 0.4 | 2.45 | 0.8 |
| Serum Pool 3 | 347.0 | 3.78 | 1.1 | 4.97 | 1.4 |
{4}
b. Linearity / assay analytical range:
A high serum pool and a low serum pool were used to prepare nine (9) different ferritin concentrations evenly distributed throughout the assay range. The mean observed ferritin concentration of triplicate measurements at the nine (9) ferritin concentrations was compared with the expected concentration. A weighted least squares linear regression analysis of the linearity data shows that the assay is linear from 6.0 ng/mL to 450 to 500 ng/mL with a slope of 1.03 (95% confidence interval (CI): 1.01 – 1.05) and y-intercept of -0.03 (95% CI: -0.08 – 0.03). Deviation from linearity was ≤10%.
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
Traceability: The Ferritin values assigned to the calibrators are traceable to the Third International Standard NIBSC 94/572.
Stability of the ADVIA® 1650 Chemistry Ferritin Reagent: Shelf-life stability was determined upon storage of the reagents at 2-8°C for 1, 2, 3, 8 or 13 weeks, 6, 12 or 18 months. On-board stability was evaluated upon storage of the 20-mL wedges in the instrument for 0, 8, 20, 31, 43, 59 or 62 days and 70-mL reagent wedges for 0, 7, 22, 31, 44, 56, 60 and 63 days. Sample recovery at each time point was compared to day 0. Data supports the shelf life stability claim of 18 months at 2-8°C and on-board stability claim of 60 days.
Stability of the ADVIA® Chemistry Liquid Specific Protein Calibrators: Calibrator vials were opened one time and then closed and kept in the refrigerator at 2-8°C for 29 days. Controls were run in quadruplet as samples using calibration curves generated with the once-opened calibrators and fresh unopened calibrators. Recoveries between the two sets of calibrators were compared. Test results support open-vial stability claim of 28 days. In addition, the data for stability of unopened calibrator vials were provided. Tests results support shelf-life of 24 months at 2-8°C for unopened calibrator vials.
d. Detection limit:
The performance at low levels was evaluated according to CLSI guideline EP17-A. A human serum pool without ferritin and four human serum pools with mean values ranging from 3.95 ng/mL to 6.13 ng/mL were tested in six (6) replicates on two instrument systems using two lots of reagents for five (5) days with two (2) runs per day. Results show that the limit of blank, the limit of detection and the limit of quantitation are 1.2 ng/mL, 4.5 ng/mL and 6.0 ng/mL, respectively.
e. Analytical specificity:
i. Endogenous Interference: Human serum pools with various concentrations of ferritin were spiked with hemoglobin up to 1000 mg/dL, unconjugated bilirubin and conjugated bilirubin up to 60 mg/dL, intralipid up to 1000 mg/dL, and rheumatoid factor up to 2500 IU/mL prior to analysis with the ADVIA® 1650 Chemistry Ferritin Reagent. Ferritin concentration observed at each level of an interferent was compared to the observed ferritin concentration of the un-spiked human serum pool. Low level of interference (<10%) was observed in the samples with ferritin concentration at approximately 300 ng/mL. Visibly hemolyzed or lipemic samples will produce erroneous results for samples with low ferritin concentrations:
{5}
| ADVIA 1650 | | | |
| --- | --- | --- | --- |
| Interferent | Interferent Level | Ferritin Level (ng/mL) | Interference |
| Bilirubin | 60 mg/dL (1026 μmol/L) | 10.9 | NSI* |
| | 60 mg/dL (1026 μmol/L) | 297.7 | NSI* |
| Hemoglobin | 62.5 mg/dL (0.6 g/L) | 11.4 | 44.4% |
| | 1000 mg/dL (10.0 g/L) | 75.2 | NSI* |
| | 1000 mg/dL (10.0 g/L) | 300.4 | NSI* |
| Lipemia | 250 mg/dL (2.8 mmol/L) | 11.3 | NSI* |
| | 500 mg/dL (5.7 mmol/L) | 11.3 | -31.0% |
| | 750 mg/dL (8.5 mmol/L) | 76.1 | NSI* |
| | 1000 mg/dL (11.3 mmol g/L) | 76.1 | -10.1% |
| | 1000 mg/dL (11.3 mmol g/L) | 303.4 | NSI* |
| Rheumatoid Factor | 2500 IU/mL
2500 IU/mL | 11.4
304.1 | NSI*
NSI* |
*NSI = Not Significant Interference (<10%)
ii. Specificity of Assay to Ferritin Isoforms: Specificity was tested using a human serum pool with ferritin concentration within normal range, which was spiked with a concentrated solution of a specific ferritin isoform (liver isoform at concentrations up to 200 ng/mL, spleen isoform at concentrations up to 200 ng/mL, heart isoform at the concentrations up to 300 ng/mL, and placenta isoform at concentrations up to 300 ng/mL). The specificity was evaluated by comparing recoveries of spiked sample and un-spiked sample relative to the amount of isoform spiked into a sample. The results are summarized below. The isoform values have clinical relevance regarding the presence of iron overload in certain organs or tissues. It should be noted that the ferritin assay does not identify the tissue isoforms.
| Liver Isoform | | |
| --- | --- | --- |
| Amount of isoform spiked, ng/mL | Observed recovery - Ferritin, ng/mL | Specificity, % |
| 0 | 22.8 | NA |
| 50 | 71.5 | 97.4% |
| 100 | 118.9 | 96.2% |
| 200 | 221.1 | 99.2% |
| | Average | 97.6% |
| Spleen Isoform | | |
| Amount of isoform spiked, ng/mL | Observed recovery - Ferritin, ng/mL | Specificity, % |
| 0 | 85.2 | NA |
| 50 | 125.3 | 80.1% |
| 100 | 164.8 | 79.6% |
| 200 | 247.5 | 81.1% |
| | Average | 80.3% |
{6}
| Placenta Isoform | | |
| --- | --- | --- |
| Amount of isoform spiked, ng/mL | Observed recovery - Ferritin, ng/mL | Specificity, % |
| 0 | 19.9 | NA |
| 75 | 66.0 | 61.7% |
| 225 | 147.7 | 56.9% |
| 300 | 185.3 | 55.2% |
| | Average | 57.9% |
| Heart Isoform | | |
| Amount of isoform spiked, ng/mL | Observed recovery - Ferritin, ng/mL | Specificity, % |
| 0 | 21.6 | NA |
| 75 | 37.5 | 21.3% |
| 225 | 68.4 | 20.8% |
| 300 | 83.0 | 20.5% |
| | Average | 20.9% |
iii. High Dose Hook Effect: Human serum sample was prepared by spiking a normal serum pool with human liver ferritin to achieve concentrations upto approximately 42,000 ng/mL. Serial dilutions were made in saline and all samples were tested. No hook effect was observed up to 42,000 ng/mL ferritin.
f. Assay cut-off:
See expected values/reference interval
## 2. Comparison studies:
a. Method comparison with predicate device:
Results obtained with forty seven serum samples on the ADVIA 1650 Chemistry Ferritin device and the predicate device, were analyzed using Deming regression and are summarized below.
| Regression Equation |
| --- |
| y = 1.00x + 0.0
Slope 95% CI: 0.97 to 1.03; Intercept 95% CI: -3.4 to 3.4 |
b. Matrix comparison:
Forty two matched serum, lithium heparin plasma, and EDTA plasma samples covering the assay range were evaluated on the ADVIA® 1650 Chemistry Ferritin Reagent device. Comparability between serum and plasma was analyzed using Deming regression and results are summarized below:
| Sample type | Regression Equation |
| --- | --- |
| Lithium Heparin | y = 1.00x + 0.1
Slope 95% CI: 0.99 to 1.01
Intercept 95% CI:-0.9 to 1.0 |
| EDTA | y = 0.97x - 1.2
Slope 95% CI: 0.96 to 0.99
Intercept 95% CI: -2.6 to 0.2 |
{7}
3. Clinical studies:
a. Clinical Sensitivity: Not applicable.
b. Clinical specificity: Not applicable.
4. Clinical cut-off: See Expected values/Reference interval.
5. Expected values/Reference interval: The following are suggested reference intervals for this method (from literature):
Men: 20–250 ng/mL
Women: 10–120 ng/mL
Each laboratory should establish its own range.
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.
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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
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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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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.
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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.