The BD Phoenix™ Automated Microbiology System is intended for the rapid identification and in vitro antimicrobial susceptibility testing of isolates from pure culture of most aerobic and facultative anaerobic Gram-negative and Gram- positive bacteria of human origin.
Device Story
BD Phoenix™ Automated Microbiology System performs antimicrobial susceptibility testing (AST) on gram-negative bacteria. System uses sealed, self-inoculating polystyrene trays with 136 micro-wells containing dried reagents and AST indicator broth. Pure culture colonies are suspended in broth, equated to 0.5 McFarland standard using BD CrystalSpec™ Nephelometer, and inoculated into panels. Instrument continuously incubates panels at 35°C; monitors growth via colorimetric oxidation-reduction (blue to pink/colorless). Readings taken every 20 minutes; MIC values and categorical interpretations (SIR) generated by EXPERT software using CLSI-derived rules. Output provides clinicians with quantitative susceptibility data to guide antibiotic therapy. System is automated; no manual readings possible.
Clinical Evidence
Performance evaluated using clinical, stock, and challenge isolates across multiple US sites. Compared against CLSI reference broth microdilution method. Metrics: Essential Agreement (EA) and Category Agreement (CA). Reproducibility study (intra-site >90%, inter-site >95%) conducted on Gram-negative isolates. Results demonstrate substantial equivalence to reference methods.
Technological Characteristics
Broth-based microdilution AST system. Materials: molded polystyrene trays with 136 micro-wells. Sensing: colorimetric oxidation-reduction (redox indicator). Energy: 35°C incubation. Connectivity: barcode scanned, software-driven. Software: EXPERT system for rule-based interpretation. Sterilization: not specified.
Indications for Use
Indicated for quantitative antimicrobial susceptibility testing (MIC) of gram-negative aerobic and facultative anaerobic bacteria (Enterobacteriaceae and non-Enterobacteriaceae) from pure culture. Active against Acinetobacter spp., Enterobacter spp., E. coli, Klebsiella spp., P. mirabilis, P. rettgeri, P. aeruginosa, Serratia spp., B. cepacia, Citrobacter spp., S. maltophilia, and Y. enterocolitica. Excludes Proteus vulgaris/penneri.
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® System (N50510)
Submission Summary (Full Text)
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY ONLY TEMPLATE
A. 510(k) Number: K073433
B. Purpose for Submission:
Submission of a new formulation of the antibiotic Piperacillin at concentrations of 2 – 128 µg/mL to the Gram Negative ID/AST or AST only Phoenix™ panels with the request for the removal of the limitations for Proteus mirabilis, Providencia species, and Stenotrophomonas maltophilia.
C. Measurands:
Piperacillin 2 – 128 µg/mL
D. Type of Test:
Antimicrobial Susceptibility Test (Quantitative and Qualitative) colorimetric oxidation-reduction, growth-based
E. Applicant:
Becton, Dickinson & Company
F. Proprietary and Established Names:
BD Phoenix™ Automated Microbiology System – Piperacillin 2 – 128 µg/mL - Gram Negative ID/AST or AST only Phoenix panel
G. Regulatory Information:
1. Regulation section:
21 CFR 866.1645 Fully Automated Short-Term Incubation Cycle
Antimicrobial Susceptibility System
2. Classification:
Class II
3. Product Code:
LON System, Test, Automated, Antimicrobial Susceptibility, Short Incubation
4. Panel:
83 Microbiology
H. Intended Use:
1. Intended use(s):
Piperacillin at concentrations of 2 – 128 µg/mL on the Phoenix™ Gram Negative ID/AST or AST only panel are intended for use with the BD Phoenix™ Automated Microbiology System for the quantitative
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determination of antimicrobial susceptibility by minimal inhibitory concentration (MIC) of most gram-negative aerobic and facultative anaerobic bacteria belonging to the family Enterobacteriaceae and non-Enterobacteriaceae.
The BD Phoenix™ Automated Microbiology System is intended for the in vitro quantitative determination of antimicrobial susceptibility by minimal inhibitory concentration (MIC) of most gram-negative aerobic and facultative anaerobic bacteria isolates from pure culture for Enterobacteriaceae and non-Enterobacteriaceae and most Gram-positive bacteria isolates from pure culture belonging to the genera Staphylococcus and Enterococcus.
2. Indication(s) for use:
This submission is for the new formulation the antibiotic Piperacillin at concentrations of 2 - 128 µg/mL with the request for the removal of limitations of reporting Proteus mirabilis, Providencia species, and Stenotrophomonas maltophilia to the Gram Negative ID/AST or AST only Phoenix™ panel.
Piperacillin has been shown to be active in vitro and in clinical infections against: Acinetobacter species, Enterobacter spp., Escherichia coli, Klebsiella spp., Proteus mirabilis, Providencia rettgeri, Pseudomonas aeruginosa and Serratia spp.; and active in vitro against Burkholderia cepacia, Citrobacter diversus, Citrobacter freundii, Stenotrophomonas maltophilia and Yersinia enterocolitica.
Special condition for use statement
Results for Proteus vulgaris/penneri with the new formulation of Piperacillin have been excluded in the BD Phoenix™; therefore no results will be reported. An alternate method should be performed when this combination is identified.
The truncation for reporting Morganella morganii with the new formulation of Piperacillin has been removed. The truncation for reporting Achromobacter species (4 - 128 µg/mL) has been retained.
Prescription Use Only
3. Special instrument Requirements:
Not Applicable
I. Device Description:
This submission is for the AST Panel only. The ID System was not reviewed. The BD Phoenix™ Automated Microbiology System includes instrumentation and software, sealed and self-inoculating molded polystyrene trays with 136 micro-wells
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containing dried reagents, and specific inoculum broth formulations for AST Indicator. The organism to be tested must be a pure culture and be preliminarily identified as gram positive or gram negative. Colonies are then suspended in broth, and equated to a 0.5 McFarland with the recommendation to use the BD CrystalSpec™ Nephelometer. A further dilution is made into an AST broth, which contains an AST indicator, prior to inoculating the panel. The AST broth is a cation-adjusted broth containing Tween 80. After adding the indicator solution to the AST inoculum, the color is blue, and after inoculation and incubation, it changes to pink then colorless as reduction in the panel well proceeds. Inoculated panels are barcode scanned and loaded into the BD Phoenix™ Automated Microbiology System instrument where the panels are continuously incubated at 35°C. The resulting AST has a final inoculum of 5 × 10⁵ CFU/ml. The instrument incubates, reads and records the results of the biochemical substrates and antimicrobial agents and interprets the reactions to give a MIC value and category interpretation of the antimicrobial agents. Organisms growing in the presence of a given antimicrobic agent reduce the indicator, signaling organism growth and resistance to the antimicrobic agent. Organisms killed or inhibited by a given antimicrobic do not cause reduction of the indicator and therefore do not produce a color change. Additional interpretation is done using software driven "EXPERT" System using rules derived from the Clinical and Laboratory Standards Institute (CLSI) documentation. Readings are taken every 20 minutes with an ID result available between 2-12 hours and an AST result available between 4-16 hours. This is only an autoread result; there are no manual readings possible.
## J. Substantial Equivalence Information:
1. Predicate device name(s): VITEK® System
2. Predicate K number(s): N50510
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Intended use | Intended for the in vitro rapid identification (ID) and quantitative determination of antimicrobial susceptibility by minimal inhibitory concentration (MIC) of most bacteria. | Same |
| Isolates | Isolated colonies from culture used | Isolated colonies from culture used |
| Results | Report results as minimum inhibitory concentration (MIC) and categorical interpretation (SIR) | Report results as minimum inhibitory concentration (MIC) and categorical interpretation (SIR) |
| Incubation Time | <16 hours | <16 hours |
| Type of Test | Automated | Automated |
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| Differences | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Reading algorithm | Results are determined from serial twofold dilutions of antimicrobial agents | Results are determined from extrapolation of doubling dilutions |
| Technology | Automated growth based enhanced by use of a redox indicator (colorimetric oxidation-reduction) to detect organism growth. | Automated growth based with detection using an attenuation of light measured by an optical scanner. |
K. Standard/Guidance Document Referenced (if applicable):
“Class II Special Controls Guidance Document: Antimicrobial Susceptibility Test (AST) Systems; Guidance for Industry and FDA”; CLSI M7 (M100-S17) “Methods for Dilution Antimicrobial Susceptibility Tests for Bacteria That Grow Aerobically; Approved Standard.”
L. Test Principle:
The AST portion of the BD Phoenix™ Automated Microbiology System is a broth based microdilution method that utilizes a redox indicator (colorimetric oxidation-reduction) to enhance detection of organism growth. The MIC is determined by comparing growth in wells containing serial two-fold dilutions of an antibiotic to the growth in “growth control wells” which contain no antibiotic.
M. Performance Characteristics (if/when applicable):
1. Analytical performance:
a. Precision/Reproducibility
Intersite and Intrasite testing demonstrated >95% reproducibility with the reformulated Piperacillin. The ten isolate study described in the guidance document was used (10 organisms tested 3 times on 3 days at 3 sites).
b. Linearity/assay reportable range:
Not applicable
c. Traceability, Stability, Expected values (controls, calibrators, or method)
Quality Control was performed during the testing of all isolates on each day of testing with the following results. The tables below include the concentrations tested around the expected range with the frequency of the reference and the Phoenix™ results at each concentration for QC organisms Escherichia coli ATCC 25922 and Pseudomonas aeruginosa ATCC 27853.
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# New formulation Piperacillin
| Organism | Concentration μg/ml | Reference Results | Phoenix™ Results | Organism | Concentration μg/ml | Reference Results | Phoenix™ Results |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | ≤ 2 | 53 | 44 | | ≤ 2 | 3 | |
| E. coli ATCC 25922 Expected Range 1 – 4 μg/mL | 4 | 31 | 47 | Ps. aeruginosa ATCC 27853 Expected Range 1 – 8 μg/mL | 4 | 69 | 92 |
| | 8 | | | | 8 | 10 | 1 |
| | 16 | | | | 16 | 1 | 1 |
| | 32 | | | | 32 | 1 | |
| | 64 | | | | 64 | | |
| | 128 | | | | 128 | | |
| | ≥ 128 | | | | ≥ 128 | | |
| | NC | 1 | 2 | | NC | 1 | 1 |
The mode for the Phoenix results was one dilution more resistant than the mode for the reference results for the *E. coli* ATCC 25922 QC isolate. This trend was not observed for the *P. aeruginosa* ATCC QC isolate, where the mode for the Phoenix results was the same as the mode for the reference results. Phoenix produced acceptable QC results as compared to the reference method results >95% of the time.
Inoculum density control: The organism suspension density of the ID broth was equivalent to a 0.5 McFarland standard using the BBL™ CrystalSpec™ Nephelometer which was verified each day of testing. Internal data was used to demonstrate that the use of the BBL™ CrystalSpec™ Nephelometer would produce reproducible results. Five different instruments were used.
## 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:
The previous premarket notification for Piperacillin in the BD Phoenix Automated Microbiology Systems (K041572) contained truncations applied to *Morganella morganii* and *Achromobacter* species (4 – 128 μg/ml) due to lower than expected EA, and a “Do Not Report” limitation for *Proteus* species, *Providencia* species and *Stenotrophomonas maltophilia* due to overall performance that did not meet acceptance criteria. This submission is for the evaluation of reformulated Piperacillin at concentrations of 2 – 128 μg/ml to establish performance and to remove the truncation for *Morganella*
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morganii and on Achromobacter species, and to remove the limitation for Proteus mirabilis, Providencia species and Stenotrophomonas maltophilia. Results for Proteus vulgaris/penneri with the new formulation of Piperacillin have been excluded in the BD Phoenix™; therefore no results will be reported. An alternate method should be performed when this combination is identified. Other clinical and challenge organism groups were tested simultaneously. The broth dilution reference panel was prepared according to the CLSI recommendation and used to compare with the Phoenix™ results.
Clinical testing was performed at four sites. The testing included a total of 1169 isolates of which 293 were Challenge isolates with known results, and 876 were Clinical isolates. These clinical isolates were comprised of 617 (70.4%) fresh isolates, 209 (23.9%) recent isolates and 50 (5.7%) stock isolates. Due to overall performance that was lower than expected, the AST results for Piperacillin with Proteus vulgaris/penneri will continue to be suppressed from reporting by the Phoenix system. When this report group is removed from the data set, the overall number of tests analyzed for performance decreases from 1169 to 1151 (6 clinical isolates, 12 challenge isolates).
Performance charts below include all original data, and additional data for fresh and challenge organisms tested against the reformulated Piperacillin.
Piperacillin (PIP) - GN Clinical and Challenge Data with Morganella morganii and Achromobacter spp. Truncations Applied and Proteus spp., Providencia spp., and Stenotrophomonas maltophilia Removed (drug dilution 4 - 128 μg/ml) Cleared Performance Claims
| | EA Tot | EA N | EA % | Eval EA Tot | Eval EA N | Eval EA % | CA Tot | CA N | CA % | #R | min | maj | vmj |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Combined | 1781 | 1679 | 94.3 | 1113 | 1018 | 91.5 | 1781 | 1670 | 93.8 | 656 | 84 | 23 | 4 |
Reformulated Piperacillin (PIP) - GN Clinical and Challenge Data with data for Morganella morganii, Proteus mirabilis, Providencia spp., and Stenotrophomonas maltophilia Included; the Do Not Report Limitation for Proteus vulgaris/penneri Retained (drug dilution 2 - 128 μg/ml); and the Truncation for Achromobacter species (drug dilution 4 - 128 μg/ml) Retained Performance Claims
| | EA Tot | EA N | EA % | Eval EA Tot | Eval EA N | Eval EA % | CA Tot | CA N | CA % | #R | min | maj | vmj |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Combined | 1151 | 1106 | 96.1 | 434 | 393 | 90.6 | 1151 | 1090 | 94.7 | 391 | 49 | 8 | 4 |
| | | | | | | | | | | | | | |
| M. morgan. | 11 | 10 | 90.9 | 4 | 3 | 75.0 | 11 | 10 | 90.9 | 1 | 1 | 0 | 0 |
| Providencia | 5 | 5 | 100.0 | 0 | 0 | 0 | 5 | 5 | 100.0 | 0 | 0 | 0 | 0 |
| P. mirabilis | 97 | 95 | 97.9 | 1 | 0 | 0 | 97 | 96 | 99.0 | 29 | 0 | 0 | 1 |
| S. maltoph | 16 | 15 | 93.8 | 2 | 1 | 50.0 | 16 | 14 | 87.5 | 14 | 2 | 0 | 0 |
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EA-Essential Agreement
CA-Category Agreement
R-resistant isolates
maj-major discrepancies
vmj-very major discrepancies
min- minor discrepancies
Essential agreement (EA) is when the BD Phoenix™ panels agree with the reference test panel results exactly or within one doubling dilution of the reference method. Category agreement (CA) is when the BD Phoenix™ panel (SIR) result interpretation agrees exactly with the reference panel (SIR) result interpretation. Evaluable EA (Eval EA) is when the MIC result is on scale for both the BD Phoenix and the reference method, and have on-scale EA.
The Clinical isolates performance EA was 95.3%, the Eval EA was 89.2% and the CA was 94.5%. There were 6 maj (6/596, 1.0%), 40 min (40/870, 4.6%) and 2 vmj (2/229, 0.9%). The Challenge set performance EA was 98.6%, the Evaluable EA was 97.2% and the CA was 95.4%, which was very good. There were 2 vmj out of 162 resistant isolates, and there were 2 maj out of 105 susceptible isolates. There were 9 minor errors (9/281, 3.2%).
The overall combined EA was 96.1%, the Evaluable EA was 90.6% and the CA was 94.7%. Stenotrophomonas maltophilia had a lower than expected CA or 87.5%, however, the EA was 93.8% and there were no vmj or maj generated. One of the two min was within EA. The new formulation of PIP did not generate any additional vmj. Therefore, the performance data are acceptable.
The test device had a growth rate of >95%.
b. Matrix comparison:
Not applicable
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
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4. Clinical cut-off
Not applicable
5. Expected values/Reference range:
| Piperacillin Interpretive Criteria | | S | I | R |
| --- | --- | --- | --- | --- |
| Enterobacteriaceae and Non-Enterobacteriaceae | | ≤ 16 | 32 – 64 | ≥ 128 |
| Pseudomonas aeruginosa | | ≤ 64 | -- | ≥ 128 |
N. Proposed Labeling:
The expected value range, interpretive criteria and QC for gram negative panels are included in the package insert. The performance data presented are acceptable for the new formulation of Piperacillin with the removal of truncation for Morganella morganii, and removal of limitations for Proteus mirabilis, Providencia spp., and Stenotrophomonas maltophilia. Results for Proteus vulgaris/penneri with the new formulation of Piperacillin have been excluded in the BD Phoenix™; therefore no results will be reported. An alternate method should be performed when this combination is identified. The truncation for Achromobacter species (drug dilution of 4 – 128 μg/mL) has been retained.
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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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.
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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.
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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.