The Sensititre® 18 – 24 hour MIC or Breakpoint Susceptibility System is an in vitro diagnostic product for clinical susceptibility testing of non-fastidious isolates. This 510(k) is for the removal of the limitation for the ability to detect resistance for meropenem (0.004 - 8μg/mL) and Enterobacteriaceae and for the addition of the newly approved breakpoints (S≤1, I=2, R≥4) on the Sensititre® 18 – 24 hour MIC panel for testing Gram negative isolates. The approved primary, “Indications for Use” and clinical significance for Enterobacteriaceae is for the following species: Escherichia coli Klebsiella pneumoniae Proteus mirabilis In vitro data, without clinical correlation is provided for: Aeromonas hydrophila Citrobacter koseri (formerly diversus) Citrobacter freundii Enterobacter cloacae Hafnia alvei Klebsiella oxytoca Morganella morganii Proteus vulgaris Serratia marcescens
Device Story
Sensititre 18-24 hour MIC Susceptibility System is an in vitro diagnostic device used in clinical laboratories to determine the minimum inhibitory concentration (MIC) of antibiotics against bacterial isolates. This specific submission updates the system to remove previous limitations regarding Meropenem resistance detection in Enterobacteriaceae and incorporates updated clinical breakpoints. The system utilizes microbroth dilution panels containing various concentrations of antimicrobial agents. Bacterial isolates are inoculated into the panels and incubated for 18-24 hours. Growth or inhibition is assessed to determine the MIC. Results assist clinicians in selecting appropriate antibiotic therapy for patients with bacterial infections. The device is intended for professional use in clinical settings.
Clinical Evidence
No clinical data provided. The submission relies on in vitro data to support the performance of the Meropenem susceptibility testing on the Sensititre platform for the specified bacterial species.
Technological Characteristics
Multi-well plastic microtitre plates with dried antimicrobial agents. Sensing principle: fluorescence detection of bacterial surface enzyme activity (fluorogenic substrate). Energy source: electrical (Autoreader). Connectivity: standalone or integrated lab system. Software: automated interpretation of growth. Sterilization: not specified.
Indications for Use
Indicated for clinical susceptibility testing of non-fastidious Gram-negative isolates, specifically Escherichia coli, Klebsiella pneumoniae, and Proteus mirabilis. In vitro data provided for Aeromonas hydrophila, Citrobacter koseri, Citrobacter freundii, Enterobacter cloacae, Hafnia alvei, Klebsiella oxytoca, Morganella morganii, Proteus vulgaris, and Serratia marcescens.
Regulatory Classification
Identification
An antimicrobial susceptibility test powder is a device that consists of an antimicrobial drug powder packaged in vials in specified amounts and intended for use in clinical laboratories for determining in vitro susceptibility of bacterial pathogens to these therapeutic agents. Test results are used to determine the antimicrobial agent of choice in the treatment of bacterial diseases.
Submission Summary (Full Text)
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY
A. 510(k) Number:
K133773
B. Purpose for Submission:
To obtain a substantial equivalence determination by demonstrating acceptable performance of the Sensititre® 18-24 hour MIC or Breakpoint Susceptibility System Test System with the revised CLSI and FDA interpretive criteria (breakpoints) for meropenem and Enterobacteriaceae.
Also to demonstrate acceptable performance of the Sensititre® 18-24 hour MIC or Breakpoint Susceptibility System Test System with a sufficient number of meropenem resistant isolates of the Enterobacteriaceae family to support removal of the limitation regarding the ability of the device to detect resistance to meropenem.
C. Measurand:
Meropenem dilution range of 0.004 - 8μg/mL
D. Type of Test:
Quantitative Antimicrobial Susceptibility Test (AST), growth based fluorescence
E. Applicant:
TREK Diagnostic Systems, Inc., (part of ThermoFisher Scientific)
F. Proprietary and Established Names:
Sensititre® 18 - 24 hour MIC Susceptibility System
G. Regulatory Information:
1. Regulation section:
21 CFR 866.1640 Antimicrobial Susceptibility Test Powder
2. Classification:
Class II
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3. Product code:
JWY – Manual Antimicrobial Test System
LRG – Instrument for Autoreader and Interpretation of Overnight Susceptibility Systems
LTT – Panels, Test, Susceptibility, Antimicrobial
4. Panel:
83 - Microbiology
H. Intended Use:
1. Intended Use:
The Sensititre® 18 – 24 hour MIC or Breakpoint Susceptibility System is an in vitro diagnostic product for clinical susceptibility testing of non-fastidious isolates.
This 510(k) is for the removal of the limitation for the ability to detect resistance for meropenem (0.004 - 8μg/mL) and Enterobacteriaceae and for the addition of the newly approved breakpoints (S≤1, I=2, R≥4) on the Sensititre® 18 – 24 hour MIC panel for testing Gram negative isolates.
The approved primary, “Indications for Use” and clinical significance for Enterobacteriaceae is for the following species:
Escherichia coli
Klebsiella pneumoniae
Proteus mirabilis
In vitro data, without clinical correlation is provided for:
Aeromonas hydrophila
Citrobacter koseri (formerly diversus)
Citrobacter freundii
Enterobacter cloacae
Hafnia alvei
Klebsiella oxytoca
Morganella morganii
Proteus vulgaris
Serratia marcescens
2. Indication(s) for use:
The Sensititre® 18 – 24 hour MIC or Breakpoint Susceptibility System is an in vitro diagnostic product for clinical susceptibility testing of non-fastidious isolates.
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This 510(k) is for the removal of the limitation for the ability to detect resistance for meropenem (0.004 - 8μg/mL) and Enterobacteriaceae and for the addition of the newly approved breakpoints (S≤1, I=2, R≥4) on the Sensititre® 18 – 24 hour MIC panel for testing Gram negative isolates.
The approved primary, “Indications for Use” and clinical significance for Enterobacteriaceae is for the following species:
- Escherichia coli
- Klebsiella pneumoniae
- Proteus mirabilis
In vitro data, without clinical correlation is provided for:
- Aeromonas hydrophila
- Citrobacter koseri (formerly diversus)
- Citrobacter freundii
- Enterobacter cloacae
- Hafnia alvei
- Klebsiella oxytoca
- Morganella morganii
- Proteus vulgaris
- Serratia marcescens
3. Special conditions for use statement(s):
For prescription use only
4. Special instrument requirements:
Sensititre Autoinoculator for panel inoculation.
I. Device Description:
The Sensititre® 18-24 hour MIC or Breakpoint Susceptibility System is a micro-version of the classic broth dilution method and can provide both qualitative and quantitative susceptibility test results in a dried microtitre plate format. Each micro-broth dilution plate is dosed with antimicrobial agents as specific concentrations and then dried.
The organism to be tested must be in pure culture and identified as Gram negative. A standardized suspension is prepared from colonies in pure growth and inoculated into the microtitre plate. After the indicated hours of incubation, the microtitre plate is examined for growth to determine the MIC using either the Sensititre® Autoreader or manually using the VIZION.
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J. Substantial Equivalence Information:
1. Predicate device name(s):
Siemens’ MicroScan®, Dried Gram-Negative and Gram-Positive MIC/Combo Panels
2. Predicate 510(k) number(s):
K010159
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Intended Use | In vitro diagnostic product for clinical susceptibility testing of non-fastidious (Gram negative and Gram positive organism) | Same |
| Isolates | Isolated colonies from culture used | Same |
| Sample Preparation | Inoculation density of 0.5 McFarland Standard | Same |
| Technology | Automated method based on fluorescence detection of growth. Manual method based on turbidity | Same |
| Results Reported | Report results as minimum inhibitory concentration (MIC) and interpretive criteria (SIR) | Same |
| Type of Test | Automated or Manual | Same |
| Differences | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Incubation | 18-24 hours | 16-24 hours |
| Antibiotic | Meropenem | Gatifloxacin |
K. Standard/Guidance Document Referenced (if applicable):
1. Class II Special Controls Guidance Document: Antimicrobial Susceptibility Test Systems; Guidance for Industry and FDA
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2. CLSI M100-S23: Performance Standards for Antimicrobial Susceptibility Testing; Twenty-third Informational Supplement
3. CLSI M7-A9: Methods for Dilution Antimicrobial Susceptibility Tests for Bacteria That Grow Aerobically; Approved Standard- Ninth Edition
L. Test Principle:
The Sensititre® 18-24 MIC Susceptibility System test panels are multi-well plastic microtitre plates that contain doubling dilution of antibacterial agents. Each plate includes antimicrobial agents at appropriate dilutions. Results can be read manually by visual reading of growth or automatically on an autoreader via fluorescence. The Sensititre Autoreader® /OptiRead® System utilizes fluorescence technology to read the microbroth dilution plates after 18 to 24 hours incubation. The technology involves the detection of bacterial growth by monitoring the activity of specific surface enzymes produced by the test organism. Growth is determined by generating a fluorescent product from a non-fluorescent (fluorogenic) substrate. The non-fluorescent substrate is prepared by conjugating a fluorescent compound to the specific enzyme substrates with a bond which prevents fluorescence. The enzymatic action of the bacterial surface enzymes on the bound non-fluorescent substrate cleaves the bond releasing the fluorescence. The amount of fluorescence detected is directly related to the activity of bacterial growth. The MIC is determined by observing the lowest dilution of antimicrobial agent that inhibits growth of the organism. The non-fluorescent (fluorogenic) substrate can be added to the inoculum broth which is dispensed into the test plate at the same time as the test organism, or, the plates can be prepared with the substrate already added to each micro-well.
M. Performance Characteristics (if/when applicable):
1. Analytical performance:
a. Precision/Reproducibility:
Not Applicable. The scope of the submission is to re-evaluate the performance of the device using the revised CLSI and FDA meropenem breakpoints. Since there was no need for a change in the design or the dilution range on the panel, there was no need to conduct a formal clinical study or reproducibility testing. Quality control (QC) testing specific to the change in breakpoints was also not performed as QC ranges have not changed. QC testing was performed as part of the challenge study testing of meropenem resistant isolates and is described below.
b. Linearity/assay reportable range:
Not Applicable
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c. Traceability, Stability, Expected values (controls, calibrators, or methods):
Quality control (QC) isolates recommended by both the FDA (CDER) and the CLSI, namely E. coli 25922 and P. aeruginosa 27853 were tested against meropenem each day of testing during meropenem resistant isolate challenge study. QC testing using both the broth microdilution reference method and the Sensititre® Susceptibility System test panels was performed at one site (in-house). Both manual and autoread methods of the Sensititre® test panels were used. The Sensititre® nephelometer was used to standardize the prepared inoculum, and calibrated at regular intervals.
The overall QC results for both the reference and test panels appeared to be acceptable, however it should be noted that the limited dilution range chosen for the Sensititre® test panels used in the challenge study, resulted in off-scale MIC values for both QC organisms (Table 1). The study data obtained by reference panel testing was deemed acceptable since all QC data were within the acceptable range for this method. Therefore, this data was acceptable for the purpose of performance evaluation of the Sensititre® panel.
Table 1. Quality Control - Sensititre® Susceptibility Panels
| ORGANISM | Conc. (μg/mL) | Broth Microdilution Reference Method | Sensititre Autoread | Sensititre Manual |
| --- | --- | --- | --- | --- |
| E. coli ATCC 25922
Expected Range : 0.008-0.06 μg/mL | 0.004 | | | |
| | 0.008 | | | |
| | 0.015 | 6 | | |
| | 0.03 | | | |
| | 0.06 | | | |
| | 0.12 | | | |
| | 0.25 | | | |
| | 0.5 | | | |
| | ≤0.5* | | 6 | 6 |
| | 1 | | | |
| | 2 | | | |
| | | | | |
| P. aeruginosa 27853
Expected Range : 0.25-1 μg/mL | 0.12 | | | |
| | 0.25 | 6 | | |
| | 0.5 | | | |
| | ≤0.5* | | 6 | 6 |
| | 1 | | | |
| | 2 | | | |
| | | | | |
* The dilution range on the Sensititre® test panel used for testing resistant isolate challenge study did not include the full FDA/CLSI-recommended range for these QC organisms. The lowest dilution concentration of this panel was 0.5 μg/mL, therefore finite (on-scale) MIC values were not achievable.
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d. Detection limit:
Not Applicable
e. Analytical specificity:
Not Applicable
f. Assay cut-off:
Not Applicable
## 2. Comparison studies:
a. Method comparison with predicate device:
Performance evaluation of the Sensititre® 18-24 hour MIC or Breakpoint Susceptibility System Test System with newly revised interpretive criteria (≤1, 2, ≥4) for Meropenem and Enterobacteriaceae.
Since there was no change in the design or the dilution range on the panel, the performance evaluation of the Sensititre® panel was achieved via re-analysis of the MIC data points of the original 510(k) submission (K983244) by using the newly revised interpretive criteria for Meropenem and Enterobacteriaceae. The performance evaluation included the full dilution range (0.004 - 8 μg/mL) for both the reference and device test panels.
A total of 307 non-fastidious Gram negative rods of the Enterobacteriaceae family (68 E. coli, 50 K. pneumoniae, 17 S. marcescens, 7 E. agglomerans, 27 E. aerogenes, 23 E. cloacae, 1 Enterobacter spp., 8 C. freundii, 4 C. koseri, 7 Citrobacter spp., 30 P. mirabilis, 9 P. vulgaris, 12 P. rettgeri, 12 P. stuartii, 1 Providencia spp., 14 M. morganii, 6 H. alvei, 4 Salmonella spp., 2 Shigella spp., 5 Aeromonas spp.) were tested. Of the 307 isolates, 227 were clinical isolates and 80 were challenge strains.
Tables 2 and 3 demonstrate performance based on essential agreement and category agreement of both clinical and challenge isolates. The data is stratified based on method of plate read (Manual or Auto).
| Table 2. Non-Fastidious Gram Negatives/ Manual Read | Tot | EA N | %EA Total | Total Eval | EA Eval | %EA Eval | CA N | %CA | #R | min | maj | vmj |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Clinical | 227 | 225 | 99.1 | 227 | 225 | 99.1 | 227 | 100 | 0 | 0 | 0 | 0 |
| Challenge | 80 | 80 | 100 | 80 | 80 | 100 | 80 | 100 | 0 | 0 | 0 | 0 |
| Combined | 307 | 305 | 99.3 | 307 | 305 | 99.3 | 307 | 100 | 0 | 0 | 0 | 0 |
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| Table 3. Non-Fastidious Gram Negatives/Autoread | Tot | EA N | %EA Total | Total Eval | EA Eval | %EA Eval | CA N | %CA | #R | min | maj | vmj |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Clinical | 226* | 219 | 96.9 | 226 | 219 | 96.9 | 226 | 100 | 0 | 0 | 0 | 0 |
| Challenge | 80 | 79 | 98.8 | 80 | 79 | 98.8 | 80 | 100 | 0 | 0 | 0 | 0 |
| Combined | 306 | 298 | 97.4 | 306 | 298 | 97.4 | 306 | 100 | 0 | 0 | 0 | 0 |
*One isolate of Citrobacter spp. had no MIC result
EA = Essential Agreement
R = Resistant Isolates
maj = major discrepancies
CA = Category Agreement
min = minor discrepancies
vmj = very major discrepancies
Evaluable results are those that fall within the test range of the reference method and could also be on-scale with the new device if within plus/minus one dilution. Essential Agreement (EA) occurs when there is agreement between the result of the reference method and that of Sensititre test panel within plus or minus one serial two-fold dilution of the antibiotic. Category Agreement (CA) occurs when the interpretation of the result of the reference method agrees exactly with the interpretation of the Sensititre® panel result.
In each instance, both the percent Category Agreement (CA) and percent Essential Agreement (EA) consistently fall above 90%, and are therefore acceptable as described in the "Class II Special Controls guidance Document: Antimicrobial Susceptibility Test (AST) Systems; Guidance for Industry and FDA, August 2009". A comparative evaluation of performance data of the Manual and Autoread methods revealed very little difference. No very major, major, or minor discrepancies were observed.
Performance testing to support removal of the limitation regarding the ability of the Sensititre® 18-24 MIC Susceptibility System test panels to detect resistance to Meropenem.
An additional study was conducted to evaluate performance with resistant isolates. The CLSI broth microdilution panel was prepared according to the CLSI standard recommendation and used as the reference method. The device evaluation was performed using the Sensititre® test panel with a limited dilution range (0.5 - 8 μg/mL) and the reference panel with the full dilution range (0.004 - 8 μg/mL). The QC testing associated with this study was performed using both the reference full dilution range panel and the Sensititre® test panel with the limited dilution range for E. coli ATCC 25922 and P. aeruginosa 27853.
Performance testing was conducted in-house using 75 non-fastidious challenge isolates of the Enterobacteriaceae family (3 E. coli, 4 E. cloacae, 1 Enterobacter spp., 1 K. oxytoca, 63 K. pneumoniae, 2 S. marcescens, and 1 Salmonella spp.). A total of 62 isolates tested were found to be resistant.
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The percent growth rate of this study was 100%.
Tables 4 and 5 demonstrate performance based on essential agreement and category agreement of the challenge isolates. The data is stratified based on method of plate read (Manual or Auto).
| Table 4. Non-Fastidious Gram Negatives/ Manual Read | Tot | EA N | %EA Total | Total Eval | EA Eval | %EA Eval | CA N | %CA | #R | min | maj | vmj |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Challenge | 75 | 75 | 100 | 37 | 37 | 100 | 72 | 96 | 62 | 3 | 0 | 0 |
| Table 5. Non-Fastidious Gram Negatives/ Auto Read | Tot | EA N | %EA Total | Total Eval | EA Eval | %EA Eval | CA N | %CA | #R | min | maj | vmj |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Challenge | 75 | 73 | 97.3 | 41 | 41 | 100 | 69 | 92 | 62 | 6 | 0 | 0 |
EA = Essential Agreement
$\mathbf{R} =$ Resistant Isolates
maj = major discrepancies
$\mathbf{CA} =$ Category Agreement
min = minor discrepancies
vmj = very major discrepancies
Evaluable results are those that fall within the test range of the reference method and could also be on-scale with the new device if within plus/minus one dilution. Essential Agreement (EA) occurs when there is agreement between the result of the reference method and that of Sensititre test panel within plus or minus one serial two-fold dilution of the antibiotic. Category Agreement (CA) occurs when the interpretation of the result of the reference method agrees exactly with the interpretation of the Sensititre® panel result.
In each instance, both the percent Category Agreement (CA) and percent Essential Agreement (EA) consistently fall above $90\%$ , and are therefore acceptable as described in the "Class II Special Controls guidance Document: Antimicrobial Susceptibility Test (AST) Systems; Guidance for Industry and FDA, August 2009". A comparative evaluation of performance data of the Manual and Autoread methods revealed very little difference. No very major or major discrepancies were observed. The minor discrepancies which occurred all fell within Essential Agreement of the reference method result.
b. Matrix comparison:
Not Applicable
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3. Clinical studies:
a. Clinical Sensitivity:
Not Applicable
b. Clinical specificity:
Not Applicable
c. Other clinical supportive data (when a. and b. are not applicable):
Not Applicable
4. Clinical cut-off:
Not Applicable
5. Expected values/Reference range:
Meropenem interpretive criteria for Enterobacteriaceae: (S≤1, I=2, R≥4)
The appropriate recommended QC organisms were used to evaluate performance of all data.
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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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.