K131779 · bioMerieux, Inc. · LON · Oct 10, 2013 · Microbiology
Device Facts
Record ID
K131779
Device Name
VITEK 2 AST-ST TIGECYCLINE
Applicant
bioMerieux, Inc.
Product Code
LON · Microbiology
Decision Date
Oct 10, 2013
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 866.1645
Device Class
Class 2
Attributes
Real-World Evidence
Real-World Evidence
Submission
Device
Sponsor
RWD Sources
RWE Use Summary
Key Tags
K131779 · Oct 10, 2013
VITEK 2 AST-ST TIGECYCLINE
bioMerieux, Inc.
Clinical isolates (fresh and stock)
Clinical isolates were used in an external evaluation to compare the performance of the VITEK 2 AST-ST Tigecycline system against the CLSI broth microdilution reference method.
External evaluation of VITEK 2 AST-ST Tigecycline; Comparative performance evaluation against CLSI broth microdilution reference method
Fresh and stock clinical isolates of Streptococcus species
CLSI broth microdilution reference method
Category agreement, reproducibility, and quality control
Indications for Use
VITEK® 2 Streptococcus Tigecycline is designed for antimicrobial susceptibility testing of Streptococcus species and is intended for use with the VITEK® 2 and VITEK® 2 Compact Systems as a laboratory aid in the determination of in vitro susceptibility to antimicrobial agents. VITEK® 2 Streptococcus Tigecycline is a qualitative test. Tigecycline has been shown to be active against most strains of the microorganisms listed below, according to the FDA label for this antimicrobial. Active in vitro and in clinical infections Streptococcus pneumoniae (penicillin-susceptible isolates) Streptococcus anginosus grp. (includes S. anginosus, S. intermedius, and S. constellatus) Streptococcus agalactiae Streptococcus pyogenes
Device Story
VITEK 2 AST-ST Tigecycline is an in vitro diagnostic test for determining antimicrobial susceptibility of Streptococcus species. The device uses miniaturized cards containing antimicrobial concentrations equivalent to standard broth microdilution methods. Clinical isolates are diluted in saline, used to rehydrate the card, and processed by VITEK 2 or VITEK 2 Compact systems. The system automatically fills, seals, and incubates the card while monitoring bacterial growth via optical sensors over 18 hours. The system generates a report with MIC values and interpretive categories. Used in clinical laboratories by technicians to guide antibiotic therapy decisions by identifying susceptible bacterial strains, potentially improving patient outcomes through targeted treatment.
Clinical Evidence
Performance evaluated using fresh and stock clinical isolates and challenge strains. Compared against CLSI broth microdilution reference method (20-24 hrs). Demonstrated 99.8% overall category agreement. Reproducibility and quality control results were acceptable.
Technological Characteristics
Test card with 64 micro-wells containing culture media and Tigecycline (0.125, 0.25, 0.5 µg/mL). Sensing principle: optical light transmittance/attenuation to measure bacterial growth. Energy source: electrical (automated system). Connectivity: VITEK 2/VITEK 2 Compact systems. Software: Growth Pattern Analysis (GPA) algorithm.
Indications for Use
Indicated for antimicrobial susceptibility testing of Streptococcus species (S. pneumoniae, S. anginosus group, S. agalactiae, S. pyogenes) using isolated colonies. For professional laboratory use.
Regulatory Classification
Identification
A fully automated short-term incubation cycle antimicrobial susceptibility system is a device that incorporates concentrations of antimicrobial agents into a system for the purpose of determining in vitro susceptibility of bacterial pathogens isolated from clinical specimens. Test results obtained from short-term (less than 16 hours) incubation are used to determine the antimicrobial agent of choice to treat bacterial diseases.
Special Controls
*Classification.* Class II (special controls). The special control for this device is FDA's guidance document entitled “Class II Special Controls Guidance Document: Antimicrobial Susceptibility Test (AST) Systems; Guidance for Industry and FDA.”
Predicate Devices
VITEK® 2 AST-ST Linezolid (k111599)
Submission Summary (Full Text)
{0}
1
# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY ONLY TEMPLATE
A. 510(k) Number:
k131779
B. Purpose for Submission:
To obtain clearance for the addition of Tigecycline to the VITEK® 2 and VITEK® 2 Compact Systems Antimicrobial Susceptibility Test (AST) Systems
C. Measurand:
VITEK® 2 Streptococcus Tigecycline concentrations (≤ 0.06- ≥ 1μg/mL)
D. Type of Test:
Quantitative growth based detection algorithm using optics light detection
E. Applicant:
bioMérieux, Inc.
F. Proprietary and Established Names:
VITEK 2 AST-ST Tigecycline (≤ 0.06- ≥ 1μg/mL)
VITEK 2 Streptococcus Tigecycline
G. Regulatory Information:
| Product Code | Classification | Regulation Section | Panel |
| --- | --- | --- | --- |
| LON | Class II | 21 CFR 866.1645 | 83 |
| System, Test, Automated, Antimicrobial Susceptibility, Short Incubation | | Short-Term Antimicrobial Susceptibility Test System | Microbiology |
H. Intended Use:
1. Intended use(s):
VITEK® 2 Streptococcus Tigecycline is designed for antimicrobial susceptibility testing of Streptococcus species and is intended for use with the VITEK® 2 and VITEK® 2 Compact Systems as a laboratory aid in the determination of in vitro susceptibility to
{1}
antimicrobial agents. VITEK® 2 Streptococcus Tigecycline is a qualitative test. Tigecycline has been shown to be active against most strains of the microorganisms listed below, according to the FDA label for this antimicrobial.
Active in vitro and in clinical infections
Streptococcus pneumoniae (penicillin-susceptible isolates)
Streptococcus anginosus grp. (includes S. anginosus, S. intermedius, and S. constellatus)
Streptococcus agalactiae
Streptococcus pyogenes
2. Indication(s) for use:
VITEK® 2 Streptococcus Tigecycline is designed for antimicrobial susceptibility testing of Streptococcus species and is intended for use with the VITEK® 2 and VITEK® 2 Compact Systems as a laboratory aid in the determination of in vitro susceptibility to antimicrobial agents. VITEK® 2 Streptococcus Tigecycline is a qualitative test. Tigecycline has been shown to be active against most strains of the microorganisms listed below, according to the FDA label for this antimicrobial.
Active in vitro and in clinical infections
Streptococcus pneumoniae (penicillin-susceptible isolates)
Streptococcus anginosus grp. (includes S. anginosus, S. intermedius, and S. constellatus)
Streptococcus agalactiae
Streptococcus pyogenes
The VITEK® 2 Antimicrobial Susceptibility Test (AST) is intended to be used with the VITEK® 2 Systems for the automated quantitative or qualitative susceptibility testing of isolated colonies for the most clinically significant aerobic gram-negative bacilli, Staphylococcus spp., Enterococcus spp., Streptococcus spp. and clinically significant yeast.
3. Special conditions for use statement(s):
- Prescription Use only
- The ability of the VITEK 2 AST-ST card to detect resistance to Tigecycline in Streptococcus pneumoniae (penicillin-susceptible isolates), S. anginosus, S. intermedius, S. constellatus, S. agalactiae and S. pyogenes is unknown because resistant strains were not available at the time of comparative testing.
4. Special instrument requirements:
VITEK® 2 and the VITEK® 2 Compact Systems
2
{2}
I. Device Description:
Each VITEK® 2 test card contains 64 micro-wells. A control well containing only microbiological culture media is resident on all cards. The remaining wells contain premeasured portions of a specific antibiotic combined with culture media. The bacterial or yeast isolate to be tested is diluted to a standardized concentration with 0.45 – 0.5% saline before being used to rehydrate the antimicrobial medium within the card. The VITEK 2 System automatically fills, seals and places the card into the incubator/reader. The VITEK 2 Compact has a manual filling, sealing and loading operation. The VITEK 2 Systems monitor the growth of each well in the card over a defined period of time. At the completion of the incubation cycle, a report is generated that contains the MIC value along with the interpretive category result for each antibiotic contained on the card.
The VITEK® 2 AST-ST Tigecycline has the following concentrations in the card: 0.125, 0.25, and 0.5 µg/mL (equivalent standard method concentration by efficacy in µg/mL). The Tigecycline MIC result range for the VITEK®2 card is ≤0.06 to ≥1 µg/mL.
The MIC interpretive criteria and equivalent concentrations are as follows:
| VITEK® 2 AST-ST | Equivalent Standard Method Concentration by Efficacy in μg/mL | MICs for FDA Categories* MIC in μg/mL: | | |
| --- | --- | --- | --- | --- |
| | | S*** | I | R |
| Tigecycline | 0.125, 0.25, 0.5 | Streptococcus agalactiae, Streptococcus pyogenes and Streptococcus anginosus group** | | |
| | | ≤0.25 | - | - |
| | | Streptococcus pneumoniae (Penicillin susceptible only) | | |
| | | ≤0.06 | - | - |
* FDA category interpretation indicated by boldface type
** Streptococcus anginosus group including Streptococcus anginosus, Streptococcus constellatus, and Streptococcus intermedius
*** Currently only a "Susceptible" category is defined for Tigecycline
J. Substantial Equivalence Information:
1. Predicate device name(s):
VITEK® 2 AST-ST Linezolid
2. Predicate 510(k) number(s):
k111599
3. Comparison with predicate:
{3}
| Similarities | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Intended Use | Determine antimicrobial susceptibility to antimicrobial agents | |
| Test Card | VITEK® 2 card format with base broth | same |
| Instrument | VITEK® 2 and VITEK®2 Compact System | same |
| Differences | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Antibiotic | Tigecycline | Linezolid |
| Reading Algorithm | Unique for Tigecycline, Growth Pattern Analysis (GPA) algorithm | Unique for Linezolid, Discriminant Analysis |
| Test organisms | Streptococcus pneumoniae (penicillin-susceptible isolates), Streptococcus anginosus grp. (includes S. anginosus, S. intermedius, S. constellatus), S. agalactiae and S. pyogenes | Streptococcus agalactiae, S. pneumoniae (including multi-drug resistant isolates), S. pyogenes |
# K. Standard/Guidance Document Referenced (if applicable):
Class II Special Controls Guidance Document: "Antimicrobial Susceptibility Test (AST) Systems; Guidance for Industry and FDA", August 28, 2009
CLSI M7-A8 "Methods for Dilution Antimicrobial Susceptibility Tests for Bacteria That Grow Aerobically; Approved Standard", January 2009
CLSI M100-S21 "Performance Standards for Antimicrobial Susceptibility; Twenty-First Information Supplement", January 2011
# L. Test Principle:
Automated growth based detection using attenuation of light measured by an optical scanner. The optics used in the systems use visible light to directly measure organism growth. Transmittance optics is based on an initial light reading of a well before significant growth has begun. Periodic light transmittance samplings of the same well measure organism growth by how much light is prevented from going through the well. The VITEK 2 System monitors the growth of each well in the card over a defined period of time. An interpretive call is made between 4 and 16 hours for a "rapid" read but may be extended to 18 hours in some instances. At the completion of the incubation cycle, a report is generated that contains the MIC value along with the interpretive category result for each antibiotic on the card.
{4}
The VITEK® 2 AST-ST Tigecycline has the following concentrations in the card: 0.125, 0.25, and 0.5 µg/mL (equivalent standard method concentration by efficacy in µg/mL). The Tigecycline MIC result range for the VITEK®2 card is ≤0.06 to ≥1 µg/mL.
## M. Performance Characteristics (if/when applicable):
### 1. Analytical performance:
#### a. Precision/Reproducibility:
Reproducibility was demonstrated using 10 isolates at three sites on three separate days in triplicates. As this is a qualitative test, results were evaluated for reproducibility based on Category Agreement only. Results were >95% reproducible. Of the ten isolates tested, five had on-scale MIC values.
The study included the Auto-dilution and the Manual dilution with the VITEK 2, and the Manual dilution with the VITEK 2 Compact.
#### b. Linearity/assay reportable range:
Not Applicable
#### c. Traceability, Stability, Expected values (controls, calibrators, or methods):
The recommended QC isolates were tested on every test occasion with the reference method and the VITEK 2. The reference method QC results were in range for every day tested. The VITEK 2 was tested a sufficient number of times to demonstrate that the system can produce QC results in the recommended range.
Quality Control was performed during the studies using both the auto-dilution and the manual method of diluting the organisms. Results demonstrated that methods were comparable with the same mode.
Quality Control Summary (VITEK 2, Auto and Manual dilution)
| Organism | Conc in μg/ml | Auto-dilution | | Manual dilution | |
| --- | --- | --- | --- | --- | --- |
| S. pneumoniae ATCC 49619
Expected Range 0.015- 0.125 μg/ml | | Reference | VITEK 2 | Reference | VITEK 2 |
| | ≤0.0078 | 2 | | 1 | |
| | 0.015 | 61 | | 27 | |
| | 0.03 | 129 | | 68 | |
| | 0.06 | 8 | 201 | 5 | 102 |
| | 0.125 | 1 | | 1 | |
An additional QC study was performed with the VITEK®2 Compact, the secondary option, at four sites, with the following results.
{5}
Quality Control Summary (VITEK 2 Compact, Manual dilution)
| Organism | Conc in μg/ml | Manual-dilution | |
| --- | --- | --- | --- |
| S. pneumoniae | | Reference | VITEK 2 Compact |
| ATCC 49619 | ≤0.0078 | 1 | |
| Expected Range | 0.015 | 25 | |
| 0.015- 0.125 | 0.03 | 69 | |
| μg/ml | 0.06 | 5 | 101 |
| | 0.125 | 1 | |
Inoculum density control was monitored using the DensiChek2 instrument. This was standardized weekly with all results recorded and in the expected range. Verification was performed during internal testing.
d. Detection limit:
Not Applicable
e. Analytical specificity:
Not Applicable
f. Assay cut-off:
Not Applicable
2. Comparison studies:
The reference method follows the CLSI approved broth microdilution testing conditions for Tigecycline:
- Medium: Mueller-Hinton broth supplemented with lysed blood. The broth was prepared fresh and immediately frozen. For use, it was inoculated no longer than one hour for thawing at room temperature.
- Inoculum: Direct colony suspension
- Incubation: 35°C, ambient air, 20-24 hours
a. Method comparison with predicate device:
There are less than five discrete dilutions in the VITEK 2 AST-ST Tigecycline card. Therefore, essential agreement (EA) was not established.
A total of 722 clinical and 161 challenge organisms were tested at four sites. Six clinical isolates failed to grow in the VITEK 2 card, giving a no growth rate of 0.83% (6/722). There were 202 stock isolates (28.0%, 202/722). The total number of viable clinical isolates was 716. There were a total of 877 results for evaluation. The performance data were analyzed using FDA interpretative criteria. A summary of the
{6}
clinical and challenge data for various Streptococcus spp. for the auto-dilution method is shown in the table below.
Performance Summary Table (VITEK 2, Auto Dilution)
| | CA total | CA# | %CA | #R | min | maj | vmj |
| --- | --- | --- | --- | --- | --- | --- | --- |
| S. pneumoniae ≤0.06, -, - | | | | | | | |
| Clinical | 241 | 241 | 100 | 0 | NA | 0 | 0 |
| Challenge | 50 | 50 | 100 | 0 | NA | 0 | 0 |
| Combined | 291 | 291 | 100 | 0 | NA | 0 | 0 |
| S. agalactiae, S. pyogenes, S. anginosus group ≤0.25, -, - | | | | | | | |
| Clinical | 475 | 473 | 99.6 | 0 | NA | 2 | 0 |
| Challenge | 111 | 111 | 100 | 0 | NA | 0 | 0 |
| Combined | 586 | 584 | 99.7 | 0 | NA | 2 | 0 |
| Total | 877 | 875 | 99.8 | 0 | NA | 2 | 0 |
maj-major discrepancies
CA-Category Agreement
vmj-very major discrepancies
R-resistant isolates
min-minor discrepancies
Category agreement (CA) is when the VITEK® 2 panel result interpretation agrees exactly with the broth microdilution reference panel result interpretation.
## S. agalactiae
There were two major discrepancies (Susceptible by reference, non-susceptible by VITEK) for S. agalactiae, with an acceptable rate of 0.7% (2/276) when analyzed for this organism separately.
The challenge set of 161 isolates was also tested against a manual dilution method on the VITEK 2. The performance of the VITEK 2 Compact was evaluated as a secondary procedural option. The evaluation was conducted using the same 161 challenge isolates. A summary of VITEK 2 and VITEK 2 Compact manual dilution data is shown in the table below.
Comparison Challenge Data - VITEK 2, and VITEK®2 Compact (Manual dilution)
| | CA total | CA# | %CA | #R | min | maj | vmj |
| --- | --- | --- | --- | --- | --- | --- | --- |
| VITEK2 | 161 | 161 | 100 | 0 | NA | 0 | 0 |
| VITEK2 Compact | 161 | 161 | 100 | 0 | NA | 0 | 0 |
The performance of the VITEK® 2 Compact, a secondary option, was evaluated in the reproducibility, QC, and challenge studies with acceptable results.
## b. Matrix comparison:
Not Applicable
{7}
8
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:
Susceptibility Test Result Interpretive Criteria for Tigecycline are as follows:
S. pneumoniae S= ≤0.06, NS=*
S. agalactiae, S. pyogenes, S. anginosus group S= ≤0.25, NS=*
*Currently only a “Susceptible” category is defined for Tigecycline. Strains yielding test results suggestive of a “nonsusceptible” category should be retested, and if the result is confirmed, the isolate should be submitted to a reference laboratory for further testing.
N. Proposed Labeling:
The labeling is sufficient and it satisfies the requirement of 21 CFR 809.10.
O. Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
Predicate graph will load when search results are available.
Embedding visualization will load when search results are available.
PDF viewer will load when search results are available.
Loading panels...
Select an item from Submissions
Click any panel, subpart, regulation, product code, or device to see details here.
Section Matches
Results will appear here.
Product Code Matches
Results will appear here.
Special Control Matches
Results will appear here.
Loading collections...
Loading
My Alerts
You will receive email notifications based on the filters and frequency you set for each alert.
Sort by:
Create Alert
Search Filters
Agent Token
Create a read-only bearer token for Claude, ChatGPT, or other agents that can call HTTP APIs.
Copy this now. It will not be shown again.
Connected apps
Apps you authorized through browser sign-in. Disconnecting revokes their access immediately.
Learn the FDA Browser
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.