Retrospective clinical stool samples from hospital laboratories
Retrospective clinical samples were used to establish clinical sensitivity and specificity by comparing the device performance against DFA microscopy and non-fluorescent staining (Modified Acid-Fast and Modified Kinyoun stains).
Patients with gastrointestinal symptoms; Sample Size: 564; Number of Sites: 3
DFA microscopy
Sensitivity and specificity
Retrospective performance evaluation
Patients with gastrointestinal symptoms; Sample Size: 328 (47 at site 2; 281 at site 3); Number of Sites: 2
Non-fluorescent microscopy (Modified Acid-Fast and Modified Kinyoun stains)
Positive Percent Agreement (PPA) and Negative Percent Agreement (NPA)
Indications for Use
Trinity Biotech Uni-Gold™ Cryptosporidium is a single use rapid immunoassay for the qualitative detection of Cryptosporidium parvum (C. parvum) antigens in human stool specimens. This test is intended for use with patients with gastrointestinal symptoms as an aid in the diagnosis of suspected Cryptosporidium gastrointestinal infections. As with other Cryptosporidium tests, results should be considered in conjunction with the clinical evaluation and medical history. For In-Vitro Diagnostic use.
Device Story
Uni-Gold™ Cryptosporidium is a single-use, rapid lateral flow immunoassay for qualitative detection of Cryptosporidium parvum antigens in human stool. The device consists of a nitrocellulose membrane test strip housed in plastic. Principle of operation: double antibody sandwich assay. Stool specimen is diluted in buffer and applied to the sample well; antigen binds to red latex-conjugated antibodies on a conjugate pad. The complex migrates to the nitrocellulose membrane, where it binds to capture antibodies (mouse anti-Cryptosporidium parvum) at the test line, forming a visible pink/red band. A control line (goat anti-mouse IgG) ensures device function. Used in clinical laboratories; operated by trained personnel. Results are interpreted visually by the healthcare provider to aid in diagnosing gastrointestinal infections, supporting clinical decision-making alongside patient history and evaluation.
Clinical Evidence
Clinical performance evaluated on 564 retrospective and 378 prospective stool samples. Retrospective study vs. DFA microscopy showed 100% sensitivity (77/77; 95% CI 94-100%) and 100% specificity (157/157; 95% CI 97-100%). Prospective study (n=378) showed 100% specificity (95% CI 99-100%) with no positive samples encountered. Additional comparisons against Modified Acid-Fast and Kinyoun stains were performed. Reproducibility and repeatability studies showed 100% agreement.
Technological Characteristics
Lateral flow immunoassay; nitrocellulose membrane; red latex microsphere conjugate; mouse anti-Cryptosporidium parvum capture antibodies; goat anti-mouse IgG control antibodies. Dimensions: 5mm x 60mm strip in plastic housing. Visual readout. Manual procedure; no instrumentation required. Compatible with various stool matrices (fresh, frozen, formalin, SAF, Cary-Blair, C&S).
Indications for Use
Indicated for patients of all ages, male or female, presenting with gastrointestinal symptoms to aid in the diagnosis of suspected Cryptosporidium gastrointestinal infections.
Regulatory Classification
Identification
Entamoeba histolytica serological reagents are devices that consist of antigens and antisera used in serological tests to identify antibodies to Entamoeba histolytica in serum. Additionally, some of these reagents consist of antisera conjugated with a fluorescent dye (immunofluorescent reagents) used to identify Entamoeba histolytica directly from clinical specimens. The identification aids in the diagnosis of amebiasis caused by the microscopic protozoan parasite Entamoeba histolytica and provides epidemiological information on diseases caused by this parasite. The parasite may invade the skin, liver, intestines, lungs, and diaphragm, causing disease conditions such as indolent ulcers, an amebic hepatitis, amebic dysentery, and pulmonary lesions.
Special Controls
*Classification.* Class II (special controls). The device is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to § 866.9.
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1
# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY
A. 510(k) Number:
K121565
B. Purpose for Submission:
To obtain a substantial equivalence determination for a new device
C. Measurand:
Cryptosporidium parvum antigen
D. Type of Test:
Lateral flow immunoassay
E. Applicant:
Trinity Biotech
F. Proprietary and Established Names:
Uni-Gold™ Cryptosporidium
G. Regulatory Information:
1. Regulation section:
21 CFR 866.3220 Entamoeba histolytica serological reagents
2. Classification:
Class II
3. Product code:
MHJ – Cryptosporidium spp.
4. Panel:
83 Microbiology
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H. Intended Use:
1. Intended use(s):
Trinity Biotech Uni-GoldTM Cryptosporidium is a single use rapid immunoassay for the qualitative detection of *Cryptosporidium parvum* (*C. parvum*) antigens in human stool specimens. This test is intended for use with patients with gastrointestinal symptoms as an aid in the diagnosis of suspected *Cryptosporidium* gastrointestinal infections. As with other *Cryptosporidium* tests, results should be considered in conjunction with the clinical evaluation and medical history. For In Vitro Diagnostic use.
2. Indication(s) for use:
Trinity Biotech Uni-GoldTM Cryptosporidium is a single use rapid immunoassay for the qualitative detection of *Cryptosporidium parvum* (*C. parvum*) antigens in human stool specimens. This test is intended for use with patients with gastrointestinal symptoms as an aid in the diagnosis of suspected *Cryptosporidium* gastrointestinal infections. As with other *Cryptosporidium* tests, results should be considered in conjunction with the clinical evaluation and medical history. For In Vitro Diagnostic use.
3. Special conditions for use statement(s):
For prescription use only
4. Special instrument requirements:
Not applicable
I. Device Description:
The Trinity Biotech Uni-Gold™ Cryptosporidium test strip (5mm x 60mm) combines a nitrocellulose membrane with designated fiber pads (conjugate, sample and absorbent). The test strip is placed into a plastic housing and is sealed constituting the Test Device. The test strip consists of A) Mouse anti-*Cryptosporidium parvum* antibody coated onto the Test Line region, B) Goat anti-mouse IgG antibody coated onto the Control Line region, C) Mouse anti-*Cryptosporidium parvum* antibodies and mouse IgG antibodies conjugated to red latex particles and dried onto the inert glass fiber conjugate pad which is positioned on the test strip below the nitrocellulose zone. The housing contains a window where the diluted stool sample is added (Sample Well) and a window above where the results are read in 15 minutes.
2
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J. Substantial Equivalence Information:
1. Predicate device name(s):
Remel Xpect® Cryptosporidium Lateral Flow Assay
2. Predicate 510(k) number(s):
K031965
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Device | Predicate |
| | Trinity Biotech Uni-Gold™ Cryptosporidium | Remel Xpect® Cryptosporidium Lateral Flow Assay |
| Intended use | Detection of Cryptosporidium parvum antigens in human stool specimens | Detection of Cryptosporidium antigens in preserved and unpreserved fecal specimens |
| Technology | Qualitative immunochromatographic assay | Qualitative immunochromatographic assay |
| Specimen types | Human stool samples, unpreserved: fresh/frozen, preserved: 10% formalin, SAF, Cary-Blair, or C&S Transport Medium | Human stool samples, unpreserved and preserved: 10% formalin, SAF, or Cary-Blair Transport Medium |
| Test time | 15 minutes | 15 minutes |
| Reading method | Visual | Visual |
| Differences | | |
| --- | --- | --- |
| Item | Device | Predicate |
| | Trinity Biotech Uni-Gold™ Cryptosporidium | Remel Xpect™ Cryptosporidium Lateral Flow Assay |
| Capture antibodies on membrane | Mouse anti-Cryptosporidium parvum “Test Line”, Goat anti-mouse IgG “Control Line” | Rabbit anti-Cryptosporidium “Test Line”, Goat anti-mouse IgG “Control Line” |
| Conjugate antibodies | Mouse anti-Cryptosporidium parvum, Mouse IgG | Mouse monoclonal anti-Cryptosporidium |
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| Differences | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Conjugate material | Red latex conjugated antibodies dried on a conjugate pad | Red and blue polystyrene microparticles coated with antibodies and diluted in buffer |
| Sample volume | 100 μL | 2 drops ~ 40-60 μL |
| Membrane material | Nitrocellulose | Mylar-backed nitrocellulose |
K. Standard/Guidance Document Referenced (if applicable):
CLSI M28-A2 Procedures for the Recovery and Identification of Parasites from the Intestinal Tract
CLSI EP12-A2 User Protocol for Evaluation of Qualitative Test Performance (In Vitro Diagnostics)
CLSI EP17-A Protocols for Determination of Limits of Detection and Limits of Quantitation
L. Test Principle:
A buffered solution is added to a dilution tube followed by the addition of two drops of the stool specimen via a disposable pipette. This mixture is then dispensed in total into the sample well of the lateral flow cartridge device with a dropper pipette. The mixture migrates through a pad containing red latex microspheres that have been coated with an antibody specific for the Cryptosporidium antigen.
When Cryptosporidium antigens are present in the sample they combine with the antibody/red latex conjugate. As this complex migrates it binds to the antibodies in the test region of the device forming a visible pink/red band.
Excess red latex conjugate forms a second pink/red band in the control region of the device. The control line should always appear as a visible pink/red band in the control region of the device to indicate that the test device is functioning correctly.
M. Performance Characteristics (if/when applicable):
1. Analytical performance:
a. Precision/Reproducibility:
Reproducibility was assessed at three sites using a blind coded sample panel with varying amounts of Cryptosporidium oocysts spiked into negative human stool matrix. The panel consisted of four low positive samples, four
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moderately positive samples, and four negative samples. The panels were tested in two runs at each site by two operators each day for five days. Each site ran positive and negative controls for each day of testing. Reproducibility was 100%. Additionally, lot-to-lot repeatability and between-user repeatability were assessed internally with panels of positive and negative clinical samples. Repeatability was 100%. The Reproducibility and Repeatability study results are acceptable.
b. Linearity/assay reportable range:
Not applicable
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
Controls:
Good Laboratory Practice necessitates the use of control specimens to ensure proper device performance at least once daily. Uni-Gold™ Cryptosporidium Controls are available separately for use only with Uni-Gold™ Cryptosporidium. These controls are used to verify correct device performance, operator procedure and result interpretation. The positive control will produce a reactive test result and the negative control will produce a non-reactive test result as described in the package insert.
It is recommended that positive and negative controls are run
- By all new operators performing testing on patient specimens
- With each new kit lot and whenever a new shipment of test kits is received
- At periodic intervals as specified in the laboratory Quality Assurance program
Uni-Gold™ Cryptosporidium Controls must give the expected reactive or non-reactive results; otherwise the test results are not valid and must be repeated.
Sample stability:
Cryptosporidium oocysts were spiked into human stool samples in the following fixative and transport medium types: 10% formalin, SAF, Cary Blair, C&S, or fresh (unpreserved). Negative samples were also prepared in each medium type. The samples were stored under different temperature conditions and tested at various times during storage. All samples produced the expected results. The data supports the following sample storage parameters:
Fresh stool 48 hours at 2-8°C
Frozen Stool 2 months at -20°C
Cary Blair or C&S transport media 7 days at 2-8°C
Cary Blair or C&S transport media 2 months at -20°C
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10%
formalin or SAF fixed stool
2 months at 2-30°C
A multiple freeze/thaw study was also conducted with negative and positive spiked fresh, C&S, and Cary Blair stool samples. All samples produced the expected results in the study. Multiple freeze/thaw cycles should be avoided.
## High-dose hook effect:
High levels of Cryptosporidium oocysts were spiked into negative human stool matrix, serially diluted, and then tested. High oocyst concentrations produced the expected positive results in the Uni-Gold Cryptosporidium and did not produce a high-dose hook effect.
## d. Detection limit:
The limit of detection was determined by spiking purified Cryptosporidium oocysts quantified by DFA microscopy into negative human stool samples. The samples were serially diluted and three replicates from each dilution were tested with the Uni-Gold Cryptosporidium to determine the concentration that produced a positive result 95% of the time. A limit of detection concentration of 9920 oocysts/mL was confirmed by testing an additional 20 replicates with the Uni-Gold Cryptosporidium.
## e. Analytical specificity:
### Cross reactivity:
No cross reactivity was observed with samples containing the following microorganisms:
| Adenovirus serotype 3 | Coronavirus OC43 | Iodamoeba butschlii |
| --- | --- | --- |
| Adenovirus serotype 5 | Coxsackievirus | Isospora sp. |
| Adenovirus serotype 7 | Cyclspora cayetanensis | Klebsiella pneumoniae |
| Adenovirus serotype 41 | Cytomegalovirus (CMV) | Microsporidia |
| Adenovirus serotype 40 | Dientamoeba fragilis | Salmonella typhimurium |
| Aeromonas hydrophila | Diphyllobothrium latum | Shigella dysenteriae |
| Ascaris lumbricoides | Echovirus 20 | Shigella flexneri |
| Bacteroides fragilis | Endolimax nana | Shigella sonnei |
| Bacillus cereus | Entamoeba coli | Staphylococcus aureus |
| Bacillus subtilis | Entamoeba hartmanni | S. aureus (Cowan's) |
| Blastocystis hominis | Entamoeba histolytica | Staphylococcus epidermidis |
| Campylobacter coli | Enterobius vermicularis | Strongyloides stercoralis |
| Campylobacter fetus | Enterococcus faecalis | Taenia sp. |
| Campylobacter jejuni | Escherichia coli | Trichurius trichiura |
| Candida albicans | Escherichia coli 0157H7 | Vibrio parahaemolyticus |
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| Chilomastix mesnili | Giardia lamblia | Yersinia enterocolitica |
| --- | --- | --- |
| Clostridium difficile | Hookworm | |
| C. biffermentans | Hymenolepis nana | |
Cross-reactivity to *E. dispar* was not evaluated.
Cross-reactivity study results are acceptable.
## Interference study:
The following substances did not interfere with positive or negative results when tested in spiked human stool samples at the following concentrations:
Human blood (20% v/v), Mucin (3.5% w/v), Stool fat (Triglycerides 0.14mg/ml or Stearic Acid 20% v/v), Pepto-Bismol (Bismuth) (20% v/v), Imodium A-D (Loperamide HCl) (20% v/v), Kaopectate (Attapugite) (20% v/v), Vancomycin (0.6mg/ml), K-Y jelly (0.289mg/ml), Vasoline (0.22mg/ml), Condom lubricant (1.716mg/ml), Maalox (magnesium hydroxide, calcium carbonate) (20% v/v), Tagamet (Cimetidine) (2.0x10⁻² mg/ml), Pepsid (Famotidine) (6.0x10⁻⁴ mg/ml), Zantac (Ranitidine) (6.0x10⁻³ mg/ml), Prilosec (Omeprazole) (6.0x10⁻³ mg/ml), Nitrazoxanide (6.96x10⁻³ mg/ml), Atovaquone (0.031mg/ml), Azithromycin (1.2x10⁻² mg/ml), Metronidazole (0.12mg/ml), Paromomycin (0.42mg/ml), Trimethoprim-sulfamethoxazole (TRM 0.04mg/ml & Sulf 0.4mg/ml).
Interference study results are acceptable.
## f. Assay cut-off:
Not applicable
## 2. Comparison studies:
### a. Method comparison with predicate device:
The Uni-Gold Cryptosporidium was compared to a commercially available lateral flow test on 299 retrospective stool samples in the following stool matrix types: unpreserved frozen (37), Cary Blair (4), SAF (159), and formalin (99). The percent agreement of Uni-Gold Cryptosporidium versus the comparator device was as follows:
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| Site 1 | | Comparator Device | | |
| --- | --- | --- | --- | --- |
| Uni-Gold™ Cryptosporidium | | + | - | % Agreement |
| | + | 24 | 1 | 100% Pos Agr |
| | - | 0 | 52 | 98.1% Neg Agr |
| Site 2 | | Comparator Device | | |
| --- | --- | --- | --- | --- |
| Uni-Gold™ Cryptosporidium | | + | - | % Agreement |
| | + | 56 | 0 | 100% Pos Agr |
| | - | 0 | 55 | 100% Neg Agr |
| Site 3 | | Comparator Device | | |
| --- | --- | --- | --- | --- |
| Uni-Gold™ Cryptosporidium | | + | - | % Agreement |
| | + | 27 | 51* | 96.4% Pos Agr |
| | - | 1** | 32 | 38.6% Neg Agr |
*At Site 3, out of 51 samples that tested positive on Uni-Gold Cryptosporidium and negative on the comparator device, 30 samples were positive by Modified Kinyoun Stain light microscopy and three samples were positive for Cryptosporidium by DFA microscopy in agreement with the Uni-Gold Cryptoporidium result.
**The one sample that tested negative on Uni-Gold Cryptosporidium and positive on the comparator device was negative by Modified Kinyoun Stain microscopy in agreement with the Uni-Gold Cryptoporidium result.
## b. Matrix comparison:
An in-house study was conducted to evaluate test performance with negative human stool samples and whole Cryptosporidium oocysts spiked into stool samples in the following sample matrices: 10% formalin, SAF, Cary Blair, C&S, and unpreserved (fresh). All samples produced the expected result with the test device.
## 3. Clinical studies:
The clinical performance of the Uni-Gold Cryptosporidium was evaluated on 564 retrospective stool samples at three external laboratories and on 378 prospective stool samples at a fourth external laboratory.
## a. Clinical Sensitivity:
### Retrospective study:
The sensitivity and specificity of the test was compared against DFA microscopy with retrospective samples at sites 1 and 2 as shown in the
{8}
following tables.
| | DFA Microscopy | | |
| --- | --- | --- | --- |
| | | + | - |
| Uni-Gold™ Cryptosporidium | + | 28 | 0 |
| | - | 0 | 103 |
| | DFA Microscopy | | |
| --- | --- | --- | --- |
| | | + | - |
| Uni-Gold™ Cryptosporidium | + | 49 | 0 |
| | - | 0 | 54 |
| | DFA Microscopy | | |
| --- | --- | --- | --- |
| | | + | - |
| Uni-Gold™ Cryptosporidium | + | 77 | 0 |
| | - | 0 | 157 |
Sensitivity: 100% (77/77), 95% CI 94 - 100%
Specificity: 100% (157/157), 95% CI 97 - 100%
The positive samples were tested in the following stool matrix types: formalin (47), SAF (11), unpreserved frozen (14), Cary Blair (2), and C&S (3). The negative samples were tested in the following stool matrix types: formalin (71), SAF (49), unpreserved frozen (23), Cary Blair (2), C&S (12).
## Additional retrospective studies:
Performance of the test was compared to non-fluorescent microscopy (staining) at two external laboratories. At site 2, 47 retrospective samples were evaluated and demonstrated a Positive Percent Agreement (PPA) of 100% (26/26) and a Negative Percent Agreement (NPA) of 100% (21/21) versus Modified Acid-Fast Stain. At site 3, 281 retrospective SAF samples were evaluated and demonstrated a PPA of 92% (55/60) and a NPA of 90% (198/221) versus Modified Kinyoun Stain. Of the 23 negative samples (by Modified Kinyoun Stain) that tested positive on the Uni-Gold™ Cryptosporidium test, three of these samples subsequently tested positive for Cryptosporidium by DFA microscopy in agreement with the Uni-Gold™ Cryptosporidium result.
## Prospective study
Test performance was compared against DFA microscopy at site 4 with 378 prospective samples in the following stool sample types: fresh (153), frozen (45), 10% formalin (45), SAF (45), C&S (45), and Cary Blair (45). Due to infection prevalence, no positive samples were encountered during this study.
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| | DFA Microscopy | | |
| --- | --- | --- | --- |
| | | + | - |
| Uni-Gold™ Cryptosporidium | + | 0 | 0 |
| | - | 0 | 378 |
Specificity: 100% (378/378) 95% CI 99 – 100%
b. Clinical specificity:
See section M3a.
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 performance of the Uni-Gold™ Cryptosporidium Test Kit was evaluated at four external laboratories. The 940 (prospective and retrospective) samples were collected from Hospitals throughout the US and Canada and consisted of both male and female patients of all ages from pediatric to adult. The retrospective study included 163 positive samples and 399 negative samples confirmed by microscopy. The prospective study included 378 samples which were subsequently confirmed negative by microscopy. There were no differences observed in clinical performance between males or females, or between pediatric or adult populations.
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.