The Biotest EA IgM ELISA is an enzyme immunoassay using recombinant antigens for the qualitative detection of IgM antibodies to the Epstein-Barr Virus early antigens (EA) p54 and p138 in human serum or plasma. Results obtained with this test, in conjunction with other clinical and patient data obtained in assays for other Epstein-Barr virus-specific antibodies such as anti-Early Antigen IgG and anti-EBNA-1 IgG, assist in serological diagnosis of EBV infection in pediatric and adult populations.
Device Story
Biotest EA IgM ELISA is an in vitro diagnostic test for qualitative detection of IgM antibodies to Epstein-Barr Virus (EBV) early antigens (p54 and p138) in human serum or plasma. Device uses recombinant DNA technology to produce highly purified antigens immobilized on 96-well microtest plates. Principle of operation is indirect ELISA: patient serum is incubated with immobilized antigens; specific IgM antibodies bind; non-specific antibodies are washed away; murine monoclonal anti-human IgM antibody-enzyme-conjugates are added; final reaction with substrate produces color. Color intensity, measured via spectrophotometer at 450 nm, is proportional to antibody concentration. Used in clinical laboratories by trained personnel. Results are interpreted by clinicians alongside other EBV-specific antibody assays (e.g., anti-EA IgG, anti-EBNA-1 IgG) and patient clinical data to assist in diagnosing EBV infection stages (acute, past, reactivation).
Clinical Evidence
Clinical study of 408 patient samples (pediatric and adult, ages 1-74) across two sites. Evaluated against VCA IgM/IgG IFA and clinical interpretation of infection stage. Combined direct comparison to IFA showed 84.1% relative sensitivity and 89.4% relative specificity. Clinical interpretation comparison showed 98.2% sensitivity and 97.1% specificity. Cross-reactivity testing performed on samples positive for HSV I/II, VZV, CMV, Toxoplasma, rheumatoid factor, ANA, and ASL; no cross-reactivity observed. Reproducibility evaluated via inter-run, intra-run, and inter-lab testing with 10 patient serum specimens.
Technological Characteristics
ELISA-based immunoassay; utilizes recombinant EBV antigens (p54, p138) immobilized on 96-well microtest plates; detection via murine monoclonal anti-human IgM antibody-enzyme-conjugate (HRP); chromogen TMB; spectrophotometric readout at 450 nm; requires serum or plasma samples; storage at 2-8°C or -20°C.
Indications for Use
Indicated for qualitative detection of IgM antibodies to EBV early antigens (p54/p138) in human serum or plasma to assist in serological diagnosis of EBV infection in pediatric and adult populations, used in conjunction with other clinical data and assays for EBNA IgG and Early Antigen IgG.
Regulatory Classification
Identification
Epstein-Barr virus serological reagents are devices that consist of antigens and antisera used in serological tests to identify antibodies to Epstein-Barr virus in serum. The identification aids in the diagnosis of Epstein-Barr virus infections and provides epidemiological information on diseases caused by these viruses. Epstein-Barr viruses are thought to cause infectious mononucleosis and have been associated with Burkitt's lymphoma (a tumor of the jaw in African children and young adults) and postnasal carcinoma (cancer).
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JUN g 1999
:
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K983842
# ATTACHMENT I
# REVISED 510(k) SUMMARY
57
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### 510(k) Summary of Information Respecting Safety and Effectiveness
- A. Name and Address of Submitter Biotest Diagnostics Corporation Company Name and Address: 66 Ford Road, Suite 131 Denville, NJ 07834 (609) 397-8511 Telephone: (609) 397-8224 FAX: Patricia E. Bonness, Official Correspondent Contact Person: Date 510fk) Summary was Prepared: October 26, 1998 B. Device Names Biotest Anti-EBV Recombinant Proprietary Name: EA IgM EBV EA IgM Common Name: Epstein-Barr virus serological reagents Classification Name:
- C. Legally Marketed Device
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-
Biotest Diagnostics claims substantial equivalence to the EBV IgM Test (K822734) currently in commercial distribution by Gull Laboratories, Inc., Salt Lake City, UT.
#### D. Device Description
Using recombinant DNA technology, Biotest has developed three highly purified EBV antigens for use in their ELISA test system.
- EBNA-1 p72: Major antigen of the EBNA complex. The recombinant protein does not contain the glycine-alanine copolymer, a structural feature of EBNA-1, which shows cross-reactivities with certain autoantibodies and CMV (IgM response).
- EA-D p64: Early antigen. Dominant immunogen of the EA-D complex.
- EA p138: Early antigen and major DNA binding protein. This highly reactive antigen is not detectable in EA immunofluorescence assays based on chemically induced Raji cells (deletion within the Raji genome).
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| Biotest<br>Anti-EBV<br>recombinant | recombinant antigens | | | monoclonal secondary antibody (HRP-conjugated) | |
|------------------------------------|----------------------|-----|------|------------------------------------------------|----------------|
| | p72 | p54 | p134 | anti-human IgG | anti-human IgM |
| EA IgM | | X | X | | X |
| EA IgG | | X | X | X | |
| EBNA IgG | X | | | X | |
#### Biotest Anti-EBV ELISA TESTS
The EBV immune status will be determined by the detection of specific antibodies directed against EBV proteins according to the principle of the indirect ELISA. The antigens are purified to apparent homogeneity and immobilized on the solid phase (microtest plate, 96 wells). If the patient's serum contains specific antibodies they will bind during the first incubation. Non-specific antibodies are removed by washing steps. During a second incubation the captured IgM antibodies are labeled. This is performed by addition of murine monoclonal anti-human IgM antibody-enzyme-conjugates. The final reaction converts a colorless substrate to a colored product. The concentration of color after a definite time is related to the concentration of antibody in the serum sample.
#### E. Intended Use
-
The Biotest EA IgM ELISA is an enzyme immunoassay using recombinant antigens for the qualitative detection of IgM antibodies to the Epstein-Barr Virus early antigens (EA) p54 and p138 in human serum or plasma. Results obtained with this test, in conjunction with other clinical and patient data obtained in assays for other Epstein-Barr virus-specific antibodies such as anti-Early Antigen IgG and anti-EBNA-1 IgG, assist in serological diagnosis of EBV infection in pediatric and adult populations.
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- Comparison with Predicate Device F.
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A summary comparison of the features of the Biotest EA IgM and the Gull VCA IGM test kits is provided in Table 1 below:
## Table 1 Feature Comparison of Biotest and Gull EBV IgM Test Kits
| | Biotest | Gull |
|------------------------------------------|---------------------------------------------------------------------------------------------|---------------------------------------------------------------------------|
| Intended Use | Detection of IgM antibodies<br>to EBV EA<br>Qualitative only | Detection of IgM antibodies<br>to EBV VCA<br>Qualitative only |
| Assay Method | ELISA | Indirect fluorescent antibody (IFA) |
| Reactive Ingredients | Recombinant EBV (EA p54/p138)<br>Peroxidase-conjugated monoclonal<br>anti-human IgM (mouse) | HR1, Burkitt's lymphocytic cells<br>Fluorescein-labeled<br>anti-human IgM |
| Specimen: Type<br>Min. Volume<br>Storage | Serum or plasma<br>25 µl<br>2 - 8°C or -20°C | Serum<br>15 µl of 1:10 and 1:40 dilutions<br>2 - 8°C/7days or -20°C |
| Controls | Negative<br>Positive | Negative<br>Positive |
| Chromogen | TMB | Fluorescein |
| Results:<br>Evaluation | spectrophotometer @ 450 nm | Fluorescence microscope |
| Kit Size | 96 tests | 50 or 100 tests |
୧୦
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G. Performance Data
#### Sensitivity/Specificity
-
The performance of the Biotest EA IgM ELISA was evaluated in a clinical study of 408 patient samples conducted at two geographically distinct locations. Samples were obtained from both pediatric and adult patients (ages 1 to 74) representing acute (139), late acute (34), recent past (12), past (120), reactivation (22), past/probable reactivation (11), and negative (70) disease stages of EBV infection.
Two methods were used to evaluate the performance of the Biotest EA IgM ELISA: direct comparison with commercially available or published EA IgM IFA tests, and comparison with clinical interpretation (stage of infection based on antibody patterns and clinical diagnosis at the time the specimen was drawn).
Results of the direct comparison with VCA IgM/IgG IFA for both sites combined demonstrated a relative sensitivity of 84.1% and a relative specificity of 89.4%.
#### Table 1
### Clinical Site 1 Direct Comparison to VCA IgM/IgG IFA
| VCA IgM/IgG IFA | | | |
|-----------------|----|-----|-------|
| | + | - | Total |
| Biotest + | 73 | 13 | 86 |
| Biotest - | 14 | 108 | 122 |
| Total | 87 | 121 | 208 |
Relative Sensitivity = 83.9% Relative Specificity = 89.3% Relative Agreement = 87.0% (C.I. = 74.5 to 90.9%) (C.I. = 83.7 to 94.8%)
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### Table 2
| VCA IgM/IgG IFA | | | |
|-----------------|----|-----|-------|
| | + | - | Total |
| Biotest + | 80 | 11 | 91 |
| Biotest - | 15 | 94 | 109 |
| Total | 95 | 105 | 200 |
## Clinical Site 2 Direct Comparison to VCA IgM/IgG IFA
《《 Relative Sensitivity = 84.2% Relative Specificity = 89.5% Relative Agreement = 87.0%
..............................................................................................................................................................................
)
1
(C.I. = 75.3 to 90.0%) (C.I. = 83.7 to 95.4%)
## Table 3
## Combined Site Results Direct Comparison to VCA IgM/IgG
| VCA IgM/IgG | | | |
|-------------|-----|-----|-------|
| | + | - | Total |
| Biotest + | 153 | 24 | 177 |
| Biotest - | 29 | 202 | 231 |
| Total | 182 | 226 | 408 |
Relative Sensitivity = 84.1% Relative Specificity = 89.4% Relative Agreement = 87.0%
(C.I. = 78.7 to 89.4%) (C.I. = 85.4 to 93.4%)
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Results based on Clinical Interpretation of all patient samples where Biotest ELISA EA IgM antibody responses matched expected serological pattern analysis for each state of infection, including - Acute, Convalescent (Late Acute or Recent Past), Past, Reactivation and Probable Reactivation/past, and - Negative.
| Clinical Interpretation | | | | | |
|--------------------------------------------|----------------------------|-----------------------------|-----------------------------|-----------------------------|-----------------------------|
| | Acute | Convalescent | Past | Reactivation | Negative |
| Result matches<br>Biotest | 138 | 45 | 117 | 32 | 2 |
| Result does not<br>match Biotest | 1 | 1 | 3 | 1 | 68 |
| Sensitivity<br>Specificity<br>95% to C.I.% | 99.2%<br>N/A<br>96.1 - 100 | 97.8%<br>N/A<br>88.5 - 99.9 | 97.5%<br>N/A<br>92.9 - 99.5 | 96.9%<br>N/A<br>84.2 - 99.9 | N/A<br>97.1%<br>90.1 - 99.7 |
Total Clinical Sensitivity = 98.2% Total Clinical Specificity = 97.1% Total Clinical Agreement = 98.0% (C.I. = 96.2 to 99.3%) (C.I. = 90.1 to 99.7%)
Note: C.I. = 95% confidence intervals calculated by the exact method.
### Cross Reactivity
-
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No cross reactivity was observed when the Biotest EA IgM ELISA was used to test samples from patients acutely infected with:
| Herpes Simplex Virus I/II | 4 of 5 samples found non-reactive |
|---------------------------|------------------------------------|
| Varicella Zoster Virus | 5 of 11 samples found non-reactive |
| Cytomegalovirus | 3 of 9 samples found non-reactive |
| Toxoplasma | 4 of 5 samples found non-reactive |
Further, no cross reactivity was observed in tests of rheumatoid factor positive (n = 10), antinuclear antibody positive (n = 5) and ASL positive (n = 15) samples.
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## Reproducibility
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ﻜﺴﺎ
To evaluate the reproducibility of the Biotest EA IgM ELISA, a panel of 10 patient serum specimens (low to high positive) was tested at the clinical sites. The mean, standard deviation (S.D.) and coefficient of variation (C.V.) for inter-run, intra-run and inter-lab reproducibility are presented below.
| | Inter-Run (n = 11) | | | Intra-Run (n = 8) | | |
|---------|--------------------|-------|--------|-------------------|-------|--------|
| Panel # | Mean | S.D. | % C.V. | Mean | S.D. | % C.V. |
| 1 | 1.799 | 0.175 | 9.7 | 1.801 | 0.065 | 3.6 |
| 2 | 1.013 | 0.171 | 16.9 | 1.140 | 0.032 | 2.8 |
| 3 - | 1.280 | 0.183 | 14.3 | 1.286 | 0.070 | 5.5 |
| 4 | 0.294 | 0.033 | 11.2 | 0.287 | 0.018 | 6.3 |
| 5 | 1.065 | 0.119 | 11.2 | 1.189 | 0.059 | 5.0 |
| 6 | 0.651 | 0.088 | 13.5 | 0.680 | 0.034 | 5.1 |
| 7 | 1.231 | 0.152 | 12.3 | 1.325 | 0.060 | 4.5 |
| 8 | 0.959 | 0.130 | 13.5 | 0.946 | 0.060 | 6.3 |
| 9 | 0.798 | 0.100 | 12.5 | 0.811 | 0.037 | 4.6 |
| 10 | 0.664 | 0.067 | 10.0 | 0.711 | 0.020 | 2.9 |
Site #1
Site #2
| | Inter-Run (n = 5) | | | Intra-Run (n = 24) | | |
|---------|-------------------|-------|--------|--------------------|-------|--------|
| Panel # | Mean | S.D. | % C.V. | Mean | S.D. | % C.V. |
| 1 | 1.641 | 0.127 | 7.7 | 1.829 | 0.268 | 14.7 |
| 2 | 1.165 | 0.036 | 3.1 | 1.257 | 0.164 | 13.1 |
| 3 | 1.415 | 0.043 | 3.1 | 1.471 | 0.124 | 8.4 |
| 4 | 0.335 | 0.020 | 6.0 | 0.362 | 0.052 | 14.4 |
| 5 | 1.271 | 0.063 | 5.0 | 1.372 | 0.127 | 9.3 |
| 6 | 0.664 | 0.032 | 4.8 | 0.773 | 0.076 | 9.9 |
| 7 | 1.360 | 0.083 | 6.1 | 1.522 | 0.104 | 6.8 |
| 8 | 1.009 | 0.075 | 7.4 | 1.111 | 0.099 | 8.9 |
| 9 | 0.932 | 0.037 | 3.9 | 0.997 | 0.070 | 7.0 |
| 10 | 0.705 | 0.019 | 2.7 | 0.783 | 0.048 | 6.2 |
{8}------------------------------------------------
| Inter-Lab (n = 14) | | | |
|--------------------|-------|-------|--------|
| Panel # | Mean | S.D. | % C.V. |
| 1 | 1.75 | 0.172 | 9.8 |
| 2 | 1.061 | 0.167 | 15.7 |
| 3 | 1.322 | 0.173 | 13.1 |
| 4 | 0.307 | 0.037 | 11.9 |
| 5 | 1.129 | 0.140 | 12.4 |
| 6 | 0.655 | 0.077 | 11.8 |
1.271
0.974
0.840
0.677
12.0
12.1
13.1
7.9
0.153
0.117
0.110
0.053
**Inter-Lab (n = 14)**
8
9
10
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7 *
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Image /page/9/Picture/1 description: The image shows the logo for the U.S. Department of Health and Human Services. The logo consists of a circular seal with the words "DEPARTMENT OF HEALTH & HUMAN SERVICES • USA" arranged around the perimeter. Inside the circle is an abstract symbol that resembles an eagle or bird-like figure with three stylized lines forming its body and wings.
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
JUN 9 1999
Ms. Patricia E. Bonness Official Correspondent Biotest Diagnostics Corporation 66 Ford Road Suite 131 Denville, New Jersey 07834
Re: K983842
> Trade Name: Biotest Anti-EBV Recombinant EA IgM Regulatory Class: I Product Code: LSE Dated: March 15, 1999 Received: March 31, 1999
Dear Ms. Bonness:
We have reviewed your Section 510(k) notification of intent to market the device referenced above and we have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act). You may, therefore, market the device, subject to the general controls provisions of the Act. The general controls provisions of the Act include requirements for annual registration. listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration.
If your device is classified (see above) into either class II (Special Controls) or class III (Premarket Approval), it may be subject to such additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 895. A substantially equivalent determination assumes compliance with the Current Good Manufacturing Practice requirements, as set forth in the Quality System Regulation (QS) for Medical Devices: General regulation (21 CFR Part 820) and that, through periodic QS inspections, the Food and Drug Administration (FDA) will verify such assumptions. Failure to comply with the GMP regulation may result in regulatory action. In addition. FDA may publish further announcements concerning your device in the Federal Register. Please note: this response to your premarket notification submission does not affect any obligation you might have under sections 542 of the Act for devices under the Electronic Product Radiation Control provisions, or other Federal laws or regulations.
{10}------------------------------------------------
#### Page 2
Under the Clinical Laboratory Improvement Amendments of 1988 (CLIA-88), this device may require a CLIA complexity categorization. To determine if it does, you should contact the Centers for Disease Control and Prevention (CDC) at (770)488-7655.
This letter will allow you to begin marketing your device as described in your 510(k) premarket notification. The FDA finding of substantial equivalence of your device to a legally marketed predicate device results in a classification for your device and thus, permits your device to proceed to the market.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801 and additionally 809.10 for in vitro diagnostic devices), please contact the Office of Compliance at (301) 594-4588. Additionally, for questions on the promotion and advertising of your device, please contact the Office of Compliance at (301) 594-4639. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 807.97). Other general information on your responsibilities under the Act may be obtained from the Division of Small Manufacturers Assistance at its toll free number (800) 638-2041 or at (301) 443-6597 or at its internet address "http://www.fda.gov/cdrh/dsmamain.html"
Sincerely yours.
Steven Autman
Steven I. Gutman, M.D., M.B.A. Director Division of Clinical Laboratory Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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Page ***_ of _***
- J10(k) Number (if known): 4983892
Device Name: _________________________________________________________________________________________________________________________________________________________________
Indications For Use:
The Biotest EA IgM is an enzyme immunoassay for the detection of IgM antibodies to the Epstein-Barr Virus (EBV-EA (Early Antigens) p54/p138) in human serum or plasma.
It is indicated for use, in conjunction with other clinical and patient data obtained in assays for other Epstein-Barr antigens such as EBNA IgG and Early Antigen IgG, in the serological diagnosis of EBV infection.
## (PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE IF NEEDED)
| | Concurrence of CDRH, Office of Device Evaluation (ODE) | | | |
|--------------------------------------------|-----------------------------------------------------------------|---------------------------------------------------------|---------|--|
| | <div> Woody Dubois </div> <div>(Division Sign Off)</div> | | | |
| | Division of Clinical Laboratory Devices | | | |
| | <table><tr><td>510(k) Number</td><td>K983842</td></tr></table> | 510(k) Number | K983842 | |
| 510(k) Number | K983842 | | | |
| Prescription Use X<br>(Per 21 CFR 801.109) | OR | Over-The-Counter Use ______<br>(Optional Format 1-2-96) | | |
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.