The Liofilchem® MTS™ (MIC Test Strip) is a quantitative method intended for the in vitro determination of antimicrobial susceptibility of bacteria. MTS™ consists of specialized paper impregnated with a pre-defined concernment of an antimicrobial agent, which is used to determine the minimum inhibitory concentration (MIC) in ug/mL of antimicrobial agents against bacteria as tested on agar media using overnight incubation and manual reading procedures. The MTS™ Plazoni.cin at concentrations of 0.016-256 ug/mL should be interpreted at 16-20 hours of incubation. MTSTM PLZ can be used to determine the MC of plazomicin against the microorganisms listed in the table below: Plazomicin Activity According to the FDA Label Clinical and in vitro Enterobacter cloacae Escherichia coli Klebsiella pneumoniae Proteus mirabilis in vitro only Citrobacter freundii Citrobacter koseri Klebsiella (Enterobacter) aerogenes Klebsiella oxytoca Morganella morganii Proteus vulgaris Providencia stuartii Serratia marcescens
Device Story
MTS Plazomicin is a specialized paper strip impregnated with a concentration gradient of the antimicrobial agent plazomicin. Used in clinical microbiology laboratories to determine the Minimum Inhibitory Concentration (MIC) of plazomicin against specific bacteria. The strip is placed on inoculated agar media and incubated for 16-20 hours. The antimicrobial agent diffuses into the agar, creating a concentration gradient. The MIC is determined by observing the point where the bacterial growth inhibition ellipse intersects the strip. Results are read manually by laboratory personnel. This quantitative measurement assists clinicians in selecting appropriate antibiotic therapy for patients with bacterial infections.
Clinical Evidence
Performance evaluated using 538 clinical and challenge Enterobacteriaceae isolates across three U.S. sites. Compared against CLSI reference broth microdilution. Results: 97.0% Essential Agreement (EA) and 96.1% Category Agreement (CA). No major or very major errors observed; 18 minor discrepancies. Trending observed for several species; labeling includes appropriate footnotes.
Technological Characteristics
Specialized paper strip impregnated with a concentration gradient of plazomicin (0.016-256 ug/mL). Principle of operation is antimicrobial diffusion into agar media. Manual reading of MIC endpoint after 16-20 hours of incubation. No electronic components, software, or energy sources.
Indications for Use
Indicated for in vitro determination of antimicrobial susceptibility of non-fastidious Gram-negative bacteria (Enterobacteriaceae) to Plazomicin. Patient population includes those with infections caused by E. coli, K. pneumoniae, E. cloacae, P. mirabilis, C. freundii, C. koseri, K. aerogenes, K. oxytoca, M. morganii, P. vulgaris, P. stuartii, and S. marcescens. Prescription use only.
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:
K181708
B. Purpose for Submission:
To obtain a substantial equivalence determination for Plazomicin (PLZ) at concentrations of 0.016-256 µg/mL for susceptibility testing of non-fastidious Gram-negative organisms
C. Measurand:
Plazomicin 0.016-256 µg/mL
D. Type of Test:
Quantitative Antimicrobial Susceptibility Test growth-based detection
E. Applicant:
Liofilchem s.r.l.
F. Proprietary and Established Names:
MTS Plazomicin 0.016-256 µg/mL
G. Regulatory Information:
1. Regulation section:
866.1640 Antimicrobial Susceptibility Test Powder
2. Classification:
II
3. Product code:
JWY - Manual Antimicrobial Susceptibility Test Systems
4. Panel:
83 – Microbiology
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### H. Intended Use:
#### 1. Intended use(s):
The Liofilchem MTS (MIC Test Strip) is a quantitative method intended for the in vitro determination of antimicrobial susceptibility of bacteria. MTS consists of specialized paper impregnated with a pre-defined concentration gradient of an antimicrobial agent, which is used to determine the minimum inhibitory concentration (MIC) in \( \mu \) g/mL of antimicrobial agents against bacteria as tested on agar media using overnight incubation and manual reading procedures. The MTS Plazomicin at concentrations of 0.016-256 \( \mu \) g/mL should be interpreted at 16-20 hours of incubation.
MTS PLZ can be used to determine the MIC of plazomicin against the microorganisms listed in the table below:
| Plazomicin Activity According to the FDA Label | |
| --- | --- |
| Clinical and in vitro | in vitro only |
| Escherichia coliKlebsiella pneumoniaeEnterobacter cloacaeProteus mirabilis | Citrobacter freundiiCitrobacter koseriKlebsiella (Enterobacter) aerogenesKlebsiella oxytocaMorganella morganiiProteus vulgarisProvidentia stuartiiSerratia marcescens |
#### 2. Indication(s) for use:
Same as Intended Use
#### 3. Special conditions for use statement(s):
- For prescription use
- The ability of the MTS to detect resistant isolates with the following drug/bacterial species combinations is unknown because resistant isolates were either not available or an insufficient number was encountered at the time of comparative testing.
Plazomicin: Citrobacter freundii, Citrobacter koseri, Klebsiella (Enterobacter) aerogenes, Klebsiella oxytoca, Providencia stuartii, Proteus vulgaris, Serratia marcescens
- Characterization of 16S rRNA methyltransferases, aminoglycoside modifying enzymes (AMEs), altered efflux and loss of outer membrane porins was not
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available for organisms at the time of comparative testing, and therefore the performance of MTS Plazomicin for non-fastidious Gram-negative bacilli with these resistance mechanisms is unknown for the following:
Enterobacteriaceae
- The safety and efficacy of plazomicin in treating clinical infections due to Gram-negative organisms other than E. coli, K. pneumoniae, E. cloacae and P. mirabilis may not have been established in adequate and well-controlled clinical trials. The clinical significance of susceptibility information in such instances is unknown.
4. Special instrument requirements:
Manual reading only
# I. Device Description:
The Plazomicin MIC Test Strip (MTS) consists of specialized paper impregnated with a predefined concentration gradient of Plazomicin across 15 two-fold dilutions similar to dilutions used by conventional MIC methods. One side of the strip is labelled with the Plazomicin code (PLZ) and the MIC reading scale in µg/mL. When the MIC Test Strip is applied onto an inoculated agar surface, the preformed exponential gradient of antimicrobial agent is immediately transferred to the agar matrix. After 16-20 hours incubation, a symmetrical inhibition ellipse centered along the strip is formed. The MIC is read directly from the scale in terms of µg/mL at the point where the edge of the inhibition ellipse intersects the MIC Test Strip. Since MTS strip generates MIC values which fall between two-fold dilutions for interpretation, the MIC value read is recorded to the next two-fold dilution value.
# J. Substantial Equivalence Information:
1. Predicate device name(s):
Liofilchem MTS, vancomycin
2. Predicate 510(k) number(s):
K153687
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### 3. Comparison with predicate:
Table 1: Comparison with the Predicate Device
| Similarities | | |
| --- | --- | --- |
| Item | DeviceLiofilchem MTS, Plazomicin (K181708) | PredicateLiofilchem MTS, vancomycin (K153687) |
| Intended Use | Quantitative susceptibility to antimicrobial agents | Same |
| Media | Mueller Hinton agar | Same |
| Inoculation | Isolated colonies from culture in suspension equivalent to 0.5 McFarland. Inoculum is applied manually using the manual plate inoculation method or plate rotator for even distribution of inoculum | Same |
| Reading | Manual; the point where the edge of inhibition ellipse intersects the MIC Test Strip | Same |
| Result | MIC | Same |
| Differences | | |
| --- | --- | --- |
| Item | DeviceLiofilchem MTS, Plazomicin (K181708) | PredicateLiofilchem MTS, vancomycin (K153687) |
| Antibiotic | Plazomicin code (PLZ) | Vancomycin code (VA) |
| Incubation | \( 35 \pm 2^{\circ}C \) for 16 - 20hrs | \( 35 \pm 2^{\circ}C \) for 24 hours |
## K. Standard/Guidance Document Referenced:
- Guidance for Industry and FDA - Class II Special Controls Guidance Document: Antimicrobial Susceptibility Test (AST) Systems – August 28, 2009.
- CLSI M07-A10 “Methods for Dilution Antimicrobial Susceptibility Tests for Bacteria That Grow Aerobically; Approved Standard, Tenth Edition January 2015”.
- CLSI M100-S26 “Performance Standards for Antimicrobial Susceptibility Testing; Twenty-Fifth Informational Supplement, January 2016”.
## L. Test Principle:
MTS are made of specialized paper impregnated with a predefined concentration gradient of antibiotic, across 15 two-fold dilutions similar to dilutions used by conventional MIC methods. When the MIC Test Strip is applied onto an inoculated agar surface, the preformed exponential gradient of antimicrobial agent is immediately transferred to the agar matrix. After 16-20 hours incubation, a symmetrical inhibition ellipse centered along the strip is formed. The MIC is read directly from the scale in terms of \(\mu \mathrm{g} / \mathrm{mL}\) at the point where the edge of the inhibition ellipse intersects the strip MIC Test Strip.
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Growth along the entire gradient (i.e., no inhibition ellipse) indicates that the MIC value is greater than or equal to (≥) the highest value on the scale. An inhibition ellipse that intersects below the lower end of the scale is read as less than (<) the lowest value. An MIC of 0.125μg/mL is considered to be the same as 0.12μg/mL for reporting purposes.
An MTS MIC value which falls between standard two-fold dilutions must be rounded up to the next standard upper two-fold value before categorization.
# M. Performance Characteristics:
# 1. Analytical performance:
a. Precision/Reproducibility:
Reproducibility testing was conducted at three sites using ten Gram-negative organisms. Each isolate was tested in triplicate over three days. The reproducibility panel included three E. coli, three K. pneumoniae, two E. cloacae, one P. mirabilis, and one P. vulgaris isolate. The mode MIC values were pre-determined and the reproducibility was calculated based on the number of MIC values that fell within ±1 doubling dilution of the mode MIC values. All MIC results were on scale. The testing resulted in overall reproducibility of greater than 95%.
The results were acceptable.
b. Linearity/assay reportable range:
Not applicable
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
# Quality Control (QC) Testing:
The CLSI recommended QC strains, namely E. coli ATCC 25922 and P. aeruginosa ATCC 27853 were tested a sufficient number of times (i.e., at least 20/site) at each testing site using both MTS and reference methods. The results are summarized in Table 2 below. The quality control results are acceptable.
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Table 2: Plazomicin MTS QC Results
| Organism | Concentration (μg/mL) | Reference | MTS |
| --- | --- | --- | --- |
| *E. coli* ATCC 25922 Expected Result: 0.25-2 μg/mL | 0.12 | | |
| | 0.25 | | 29 |
| | 0.5 | 40 | 30 |
| | 1 | 20 | 2 |
| | 2 | 1 | |
| | 4 | | |
| *P. aeruginosa* ATCC 27853 Expected Result: 1-4 μg/mL | 0.5 | | |
| | 1 | 8 | 1 |
| | 2 | 50 | 47 |
| | 4 | 3 | 13 |
| | 8 | | |
# **Inoculum Density Check:**
The inoculum was prepared to achieve turbidity equivalent to a 0.5 McFarland standard. Colony counts were performed periodically at each site for all QC replicates, from one replicate of each reproducibility isolate on each of the three days of testing, and from a minimum of 10% of the clinical and challenge strains tested. Inoculum density checks were performed and the colony counts obtained for each isolate were within the recommended range of approximately 1x 10⁸ CFU/mL.
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:
Results obtained with Liofilchem MIC Test Strip (MTS) with Plazomicin were compared to results obtained from frozen reference MIC panels. Reference panels were prepared and interpreted as outlined in the recommendations in CLSI document M7-A10.
Isolated colonies from an overnight blood agar plate were suspended in saline to achieve a 0.5 McFarland standard turbidity (approximately 10⁸ CFU/mL). Testing
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conditions consisted of incubation of the inoculated Mueller Hinton agar plates in an inverted position at 35°C ± 2° for 16-20 hours. At the end of incubation, the MIC value at which the edge of the inhibition ellipse intersected the strip was compared to MIC results obtained with the reference method.
# **Growth Rate:**
The growth rate for the Liofilchem MIC Test Strip (MTS) with Plazomicin was 100%.
# **Clinical:**
Clinical testing was performed at three U.S. sites. A total of 452 clinical Enterobacteriaceae isolates were tested which included 15 C. freundii, 15 C. koseri, 30 K. aerogenes, 45 E. cloacae, 120 E. coli, 15 K. oxytoca, 111 K. pneumoniae, 15 M. morganii, 35 P. mirabilis, 15 P. stuartii, 21 P. vulgaris, and 15 S. marcescens isolates. Of the clinical isolates, 61.7% were tested within 6 months of isolation.
# **Challenge:**
Challenge testing was performed at one internal site. A total of 86 challenge Enterobacteriaceae isolates were tested which included 2 C. freundii, 2 C. koseri, 5 K. aerogenes, 10 E. cloacae, 16 E. coli, 10 K. oxytoca, 12 K. pneumoniae, 4 M. morganii, 17 P. mirabilis, 2 P. stuartii, 5 P. vulgaris, and 1 S. marcescens isolate.
The performance for the total 538 clinical and challenge isolates is summarized in Table 3 below.
Table 3: Overall Performance of Clinical and Challenge Isolates (Combined)
| Plazomicin | EA Tot | EA N | EA % | Eval. EA Tot | Eval. EA N | Eval. EA% | CA N | CA% | #R | min | maj | vmj |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Enterobacteriaceae (all species) Clinical | 452 | 437 | 96.7 | 449 | 434 | 96.7 | 434 | 96.0 | 10 | 18 | 0 | 0 |
| Challenge | 86 | 85 | 98.8 | 75 | 74 | 98.7 | 83 | 96.5 | 44 | 3 | 0 | 0 |
| Combined | 538 | 522 | 97.0 | 524 | 508 | 96.9 | 517 | 96.1 | 54 | 21 | 0 | 0 |
EA – Essential Agreement
CA – Category Agreement
EVAL – Evaluable isolates
R – Resistant isolates
min – minor errors
maj – major errors
vmj – very major errors
Essential Agreement (EA) is when the Liofilchem MIC Test Strip (MST) results agree exactly or within one doubling dilution of the reference broth microdilution results. Category Agreement (CA) is when the Liofilchem MIC Test Strip (MST) result interpretation agrees exactly with the reference broth microdilution result interpretation.
The overall performance of all Enterobacteriaceae isolates is acceptable with 97.0% EA and 96.1% CA. There were 18 minor discrepancies (3.9%) and no major or very major errors.
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When the performance was evaluated individually by species, it was noted that the CA for both P. mirabilis and P. stuartii was less than 90%. However, all categorical errors for these species were minor and within essential agreement and therefore, acceptable.
## Resistance Mechanisms:
Molecular characterization for resistance to Plazomicin was not evaluated for all organisms as this information was not available of the time of testing. This was addressed by adding the following footnote in the labeling:
"Characterization of 16S rRNA methyltransferases, aminoglycoside modifying enzymes (AMEs), altered efflux and loss of outer membrane porins was not available for organisms at the time of comparative testing, and therefore the performance of MTS Plazomicin for non-fastidious Gram-negative bacilli with these resistance mechanisms is unknown for the following: Enterobacteriaceae"
## Trending:
Trending was observed (Table 4) for MIC values for C. freundii, C. koseri, K. aerogenes, E. coli, M. morganii, P. stuartii, P. vulgaris and S. marcescens which tended to be in exact agreement or lower when compared to the reference method. The difference between higher and lower dilutions for these organisms was ≥30%. The following footnote was included in the labeling to indicate this trending:
"The MTS Plazomicin MIC values tended to be in exact agreement or at least one doubling dilution lower when testing C. freundii, C. koseri, K. aerogenes, E. coli, M. morganii, P. stuartii, P. vulgaris and S. marcescens compared to the CLSI reference broth microdilution."
Table 4. Trending for Enterobacteriaceae by Species
| Total | ≥2 dil. lower | 1 dil. lower | Exact | 1 dil. higher | ≥2 dil. higher |
| --- | --- | --- | --- | --- | --- |
| **C. freundii^{a}** | | | | | |
| 17 | 0 | 6 | 10 | 1 | 0 |
| | (35.29%) | | (58.82%) | (5.88%) | |
| **C. koseri^{b}** | | | | | |
| 17 | 0 | 7 | 10 | 0 | 0 |
| | (41.18%) | | (58.82%) | (0%) | |
| **K. aerogenes^{c}** | | | | | |
| 35 | 1 | 16 | 17 | 1 | 0 |
| | (48.57%) | | (48.57%) | (2.86%) | |
| **E. cloacae^{d}** | | | | | |
| 51 | 0 | 13 | 36 | 2 | 0 |
| | (25.49%) | | (70.59%) | (3.92%) | |
| **E. coli^{e}** | | | | | |
| 132 | 12 | 59 | 61 | 0 | 0 |
| | (53.79%) | | (46.21%) | (0%) | |
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| K. oxytoca\( ^{f} \) | | | | | |
| --- | --- | --- | --- | --- | --- |
| 25 | 0 | 7 | 17 | 1 | 0 |
| | (28%) | | (68%) | (4%) | |
| K. pneumoniae\( ^{g} \) | | | | | |
| 119 | 0 | 19 | 86 | 14 | 0 |
| | (15.97%) | | (72.27%) | (11.76%) | |
| M. morganii\( ^{h} \) | | | | | |
| 19 | 0 | 9 | 10 | 0 | 0 |
| | (47.37%) | | (52.63%) | (0%) | |
| P. mirabilis\( ^{i} \) | | | | | |
| 52 | 0 | 15 | 37 | 0 | 0 |
| | (28.85%) | | (71.15%) | (0%) | |
| P. stuartii\( ^{j} \) | | | | | |
| 17 | 0 | 7 | 9 | 1 | 0 |
| | (41.18%) | | (52.94%) | (5.88%) | |
| P. vulgaris\( ^{k} \) | | | | | |
| 26 | 1 | 9 | 16 | 0 | 0 |
| | (38.46%) | | (61.54%) | (0%) | |
| S. marcescens\( ^{l} \) | | | | | |
| 16 | 0 | 5 | 11 | 0 | 0 |
| | (31.25%) | | (68.75%) | (0%) | |
| All Enterobacteriaceae\( ^{m} \) | | | | | |
| 526 | 16 | 170 | 320 | 20 | 0 |
| | (35.36%) | | (60.84%) | (3.8%) | |
\( ^{a} \) Difference between the higher and lower dilutions for C. freundii is: -29.41%; 95% C.I. (-53.31% to -1.69%)
\( ^{b} \) Difference between the higher and lower dilutions for C. koseri is: -41.18%; 95% C.I. (-63.99% to -14.30%)
\( ^{c} \) Difference between the higher and lower dilutions for K. aerogenes is: -45.71%; 95% C.I. (-61.75% to -26.25%)
\( ^{d} \) Difference between the higher and lower dilutions for E. cloacae is: -21.57%; 95% C.I. (-35.24% to -7.96%)
\( ^{e} \) Difference between the higher and lower dilutions for E. coli is: -53.79%; 95% C.I. (-62.07% to -44.84%)
\( ^{1} \) Difference between the higher and lower dilutions for K. oxytoca is: -24%; 95% C.I. (-43.85% to -3.27%)
\( ^{g} \) Difference between the higher and lower dilutions for K. pneumoniae is: -4.2%; 95% C.I. (-13.12% to 4.71%)
\( ^{h} \) Difference between the higher and lower dilutions for M. morganii is: -47.37%; 95% C.I. (-68.29% to -21.21%)
\( ^{1} \) Difference between the higher and lower dilutions for P. mirabilis is: -28.85%; 95% C.I. (-42.27% to -16.28%)
\( ^{j} \) Difference between the higher and lower dilutions for P. stuartii is: -35.29%; 95% C.I. (-58.62% to -6.52%)
\( ^{k} \) Difference between the higher and lower dilutions for P. vulgaris is: -38.46%; 95% C.I. (-57.47% to -17.90%)
\( ^{1} \) Difference between the higher and lower dilutions for S. marcescens is: -31.25%; 95% C.I. (-55.60% to -5.43%)
\( ^{m} \) Difference between the higher and lower dilutions for all Enterobacteriaceae is: -31.56%; 95% C.I. (-35.94% to -27.12%)
#### 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:
The FDA susceptibility interpretive criteria for Plazomicin are as listed in Table 5.
Table 5: FDA Interpretive Criteria for Plazomicin ( \( \mu \) g/mL)
| Organisms | S | I | R |
| --- | --- | --- | --- |
| Enterobacteriaceae | \( \leq 2 \) | 4 | \( \geq 8 \) |
### 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.
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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.
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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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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.
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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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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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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.