The Ez-HBT™ Helicobacter Blood Test is intended for use in the qualitative detection of 13CO2 in whole blood specimens, collected after the ingestion of 13C-urea. Helicobacter pylori (H. pylori) organisms colonizing the lining of the human stomach, produce urease which converts 13C-urea into 13CO2 and ammonia (NH4). The device is indicated as an aid in the diagnosis of H. pylori infection in symptomatic adult subjects, 18 years or older. For use by health care professionals. Administer test under a physician's supervision. Metabolic Solutions, Inc. or a qualified laboratory using Gas Isotope Ratio Mass Spectrometry or equivalent instrumentation must analyze the test samples.
Device Story
Ez-HBT detects H. pylori urease activity in vivo. Patient ingests 13C-labeled urea; H. pylori urease hydrolyzes urea into 13CO2 and ammonia. Blood sample collected 30 minutes post-ingestion; transported to laboratory. Gas isotope ratio mass spectrometry (GIRMS) measures 13CO2:12CO2 ratio in blood headspace. Physician uses result to aid diagnosis of H. pylori in symptomatic adults (epigastric pain, heartburn, etc.). Non-invasive alternative to endoscopic biopsy.
Clinical Evidence
Clinical study of 338 subjects at 7 sites. Sensitivity 86.4%–90.2%, specificity 94.5%–96.4%, accuracy 91.0%–93.8% vs. histology and PyloriTek. Cutoff established at -17.5 delta per mil with 0.5 per mil indeterminate zone. Safety analysis showed no device-related adverse events.
Technological Characteristics
In vitro diagnostic test kit using 13C-urea reagent. Detection via Gas Isotope Ratio Mass Spectrometry (GIRMS). Sample: whole blood in Vacutainer. Ambient temperature storage. Stability: 7 days at room temperature.
Indications for Use
Indicated for symptomatic adult subjects (18+ years) as an aid in the diagnosis of H. pylori infection. For use by healthcare professionals under physician supervision.
Regulatory Classification
Identification
Campylobacter fetus serological reagents are devices that consist of antisera conjugated with a fluorescent dye used to identify Campylobacter fetus from clinical specimens or cultured isolates derived from clinical specimens. The identification aids in the diagnosis of diseases caused by this bacterium and provides epidemiological information on these diseases. Campylobacter fetus is a frequent cause of abortion in sheep and cattle and is sometimes responsible for endocarditis (inflammation of certain membranes of the heart) and enteritis (inflammation of the intestines) in humans.
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SEP 2 4 1999
# APPENDIX K
510(k) Summary
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# 510(k) Summary For Ez-HBT Helicobacter Blood Test
#### SPONSOR/MANUFACTURER 1.
Metabolic Solutions, Inc. 460 Amherst Street Nashua, NH 03063
| Contact Person: | David A. Wagner, Ph.D. |
|-----------------|------------------------|
| | President |
- Telephone: (603) 598-6960
- Telefax: (603) 598-6973
- Date Prepared: March 15, 1999
### 2. DEVICE NAME
| Proprietary Name: | Ez-HBT Helicobacter Blood Test |
|----------------------|-----------------------------------------------------------------------------------------------|
| Common/Usual Name: | Urea Blood Test for Presence of Helicobacter pylori |
| Classification Name: | Campylobacter pylori<br>(Note: Campylobacter pylori has been renamed<br>Helicobacter pylori.) |
### 3. PREDICATE DEVICES
- PyloriTek Test Kit . Serim Research Corp. K953632
- MERETEK UBT™ Breath Test for H. pylori . Meretek Diagnostics, Inc. K952220
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### DEVICE DESCRIPTION 4.
Metabolic Solution's Ez-HBT Helicobacter Blood Test is based on the ability of H. pylori to produce the enzyme urease and convert urea to ammonia and carbon dioxide. By providing Helicosol (125 mg of 13C-labeled urea), the carbon dioxide produced by this reaction is carbon-13 labeled and an increase in the level of 1300 in the blood is an indication of the presence of H. pylori.
The test requires a single blood sample, collected 30 minutes after ingestion of the drug. Subsequently, this blood sample is transported to a qualified laboratory. The CO, is evolved from the blood into the headspace of the Vacutainer tube and analyzed by gas isotope ratio mass spectrometry (GIRMS) to determine the 13CO .: 12O2 ratio. A diagnosis of H. pylori infection is based on the detection of blood 13CO, being greater than a cutoff value.
### 5. INTENDED USE
The Ez-HBT Helicobacter Blood Test is intended for use in the qualitative detection of urease activity found associated with H. pylori organisms colonizing the lining of the human stomach. The test kit will aid in the diagnosis of H. pylori infection in adult subjects. The test is performed only by health care professionals and administered under a physician's supervision. A physician will use the Ez-HBT for adult subjects with ulcer symptoms, such as epigastric pain, heartburn, nausea, hematemesis, hematochezia, and melena.
### 6. SUBSTANTIAL EQUIVALENCE
The Ez-HBT Helicobacter Blood Test and the PyloriTek® have the same basic intended use: to detect the presence of H. pylori in human gastric mucosa. The same chemical reaction (the breakdown of urea by means of urease found in the H. pylori) is the basis of both tests. When H. pylori is present, either through ingestion (Ez-HBT) or by contact (PyloriTek®), hydrolysis of the urea produces CO2 and NH4.
In the case of PyloriTek®, the urea hydrolysis reaction takes place in vitro using an endoscopic biopsy and the resulting generation of NH, causes a pH change reflected in a color change. In the case of the Ez-HBT, this same reaction takes
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place in vivo and results in an increase of 13CO, in the subject's blood. This increase is detected using GIRMS.
A table describing the technological characteristics of these systems follows:
| Product<br>Characteristics | Metabolic<br>Solutions<br>Ez-HBT | Serim Research<br>PyloriTek | Meretek Diagnostics<br>UBT Breath Test |
|----------------------------|-----------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------|------------------------------------------------------------------|
| Intended Use | Qualitative detection of the presence of Helicobacter pylori in the<br>gastric mucosa | | |
| Sample Analyzed | Blood | Tissue Biopsy | Breath |
| Reagent | 13C-Urea | Urea | 13C-Urea |
| Detection Method | GIRMS Detection<br>of excess 13CO2<br>13C-Urea → 13CO2 | Visual Detection of<br>Urea Degradation:<br>Urea → NH4+ →<br>Color | GIRMS Detection of<br>excess 13CO2<br>13C-Urea → 13CO2 |
| Physical Safety | Requires standard<br>venipuncture;<br>No adverse effects<br>reported form the<br>ingestion of<br>13C-Urea | Requires invasive<br>tissue sampling<br>techniques. | No adverse effects<br>reported form the<br>ingestion of 13C-Urea |
| Time | 35 Minutes | 1 Hour | 35 Minutes |
| Temperature | Ambient | Ambient | Ambient |
| Regulatory Status | Proposed | K953632 | K952220 |
# Comparison of Ez-HBT Helicobacter Blood Test And Predicate Devices
### 7. PERFORMANCE TESTING
- 7.1 Pre-Clinical Studies:
- 7.1.1 Determination of the Cutoff Point in Asymptomatic Controls
A study of 115 adults was conducted to determine the cut-off point of the Ez-HBT. The 95% confidence level for 99% of negative subjects had an Ez-HBT value less than -17.0 delta per mil. This cutoff point was further tested in patients referred for EGD.
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## 7.1.2 Determination of the Cutoff Point in Patients referred for EGD
A study of 121 adult subjects with dyspeptic symptoms and diagnosed for H. pylori infection by reference methods (histology and tissue urease testing) was conducted to determine a cutoff point. A receiver operating characteristic (ROC) curve was used to determine the cutoff value for the prediction of H. pylori infection. The Ez-HBT test indicated a positive H. pylori infection when the blood 13C value at 30 minutes post urea dosing was greater than or equal to -17.0 delta per mil. This cutoff point was further refined in the clinical studies detailed below.
- 7.2 Clinical Studies
## 7.2.1 Refinement of the Cutoff Point
In a study of 338 subjects at 7 monitored clinical sites around the United States, the cutoff determination obtained form the preclinical studies was modified. A new cut-off of -17.5 per mil was established by creating Receiver Operating Characteristic (ROC) curves. This change in cut-off, although small, allows the Ez-HBT to be used with maximum efficiency for the qualitative determination of the presence of Helicobacter pylori. A secondary outcome of the cut-off modification was the occurrence of an indeterminate zone.
# 7.2.2 Evaluation of an Indeterminate Zone
The clinical study of 338 patients revealed that a deviation of 0.5 per mil could arise from a variety of sources including air transportation (see below). Therefore, an indeterminate zone of 0.5 per mil around the cutoff (-17.0 to -18.0) was established. Samples in this zone accounted for 4.7% of all samples and are not included in the calculations for sensitivity, specificity and overall accuracy. Samples whose delta value falls into this zone should have the test re-administered and the sample reevaluated.
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### 7.2.3 Evaluation of the Safety and Efficacy of the Ez-HBT test
A clinical study was conducted to evaluate the ability of the Ez-HBT blood test to detect the presence of Helicobacter pylori in the gastrointestinal tract and to evaluate the sensitivity, specificity and accuracy of the Ez-HBT versus reference methods. Three hundred and thirty eight (338) subjects were enrolled at 7 clinical sites. All patients who ingested the 13C-urea solution were included in the safety analysis. Nine (9) patients reported adverse events. None of the events was considered device related. The diagnostic cutoff, expected to be -17.0 delta per mil from a previous preclinical trial, was refined to be -17.5 with an indeterminate zone of ± 0.5 delta per mil which excluded 4.7% of the subjects.
Sensitivity, specificity and accuracy were measured versus histology and PyloriTek independently as well as the two methods congruently. The overall sensitivity ranged from 86.4% to 90.2%, specificity ranged from 94.5% to 96.4% and accuracy ranged from 91.0% to 93.8%.
## 7.2.4 Effect of Air Transportation on Ez-HBT Samples
A study of 20 subjects was carried out to evaluate the effect of air transportation on the Ez-HBT test. Replicate samples were drawn and dispersed randomly into one of three categories:
- A) Ground transportation and immediate analysis (GROUND)
- B) Ground transportation and analyze only when C arrives (HOLD)
- C) Air transportation from New Hampshire to California to New Hampshire and then analysis (AIR)
A comparison between the GROUND samples and the other group reveals no significant effect from the time delay (~ 1 day). A comparison between the HOLD samples and the AIR samples revealed differences of = 1.0 per mil. Since the test has an indiscriminant zone of ± 0.5 per mil, the finding is not considered significant and the effect of air transport of the samples is negligible.
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#### 7.3 Non-clinical Studies:
## 7.3.1 Timing of Blood Collection
The optimal drawing time after administration of the 13C-urea was determined to be 30 minutes. This timing maximized the ability of the Ez-HBT to discriminate between positive and negative subjects while minimizing the duration of the test.
### 7.3.2 Volume of Blood Required for the Test
Multiple replicate samples were prepared and aliquoted into 1.0, 2.0, 2.5 and 3.0 ml collections. Samples were analyzed over a 14 day period. The volume of blood collected had no significant effect on the delta 13C per mil value (results within ± 1.0 per mil). No significant differences between blood volumes were observed over a 14 day period.
### 7.3.3 Integrity of Blood Samples under Stress
Blood samples were exposed to a variety of environmental conditions including freezing, refrigeration, heat and room temperature for 7 days. The mean differences from the initial values were generally less than 1 delta per mil. Based on this data, the stability of the blood samples when kept at room temperature is 7 days.
### 7.3.4 Reproducibility of Measurements
Four (4) replicates were generated from 10 subjects (5 H. pylori positive and 5 H. pylori negative) and analyzed on the same day. The mean standard deviation on these measurements was = 0.5 delta per mil (and no more than 1 per mil) for two standard deviations about the mean.
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### Conclusions 7.4
The clinical studies demonstrate that the Metabolic Solutions, Inc. Ez-HBT Helicobacter pylori blood test performs comparably to other diagnostic methods (e.g., PyloriTek) currently available for the presence of H. pylori. The system is safe (no adverse events related to the drug or device were reported during the clinical trials) and thereby has a distinct advantage over other invasive methods such as PyloriTek, which require biopsy. The non-clinical studies indicate that the Ez-HBT blood test performs reliably under anticipated conditions of collection, transportation and storage.
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Image /page/8/Picture/1 description: The image shows the logo for the Department of Health & Human Services - USA. The logo is a circular seal with the department's name around the perimeter. Inside the circle is a stylized image of three human figures, possibly representing health and well-being.
Food and Drug Administration 2098 Gaither Road Rockville MD 20850
SEP 2 4 1999
David A. Wagner, Ph.D. President Metabolic Solutions, Inc. 460 Amherst Street Nashua, New Hampshire 03063
Re: K990931 Trade Name: Ez-HBT Helicobacter Blood Test Regulatory Class: I ، Product Code: MSQ Dated: July 12, 1999 Received: July 13, 1999
Dear Dr. Wagner:
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 (the Act). You may, therefore, market the device, subject to the general controls provisions of Act. However, you are responsible to determine that the medical devices you use as components in the kit have either been determined as substantially equivalent under the premarket notification process (Section 510(k) of the act), or were on the market prior to May 28, 1976, the enactment date of the Medical Device Amendments. Please note: If you purchase your device components in bulk (i.e., unfinished) and further process (e.g., sterilize) you must submit a new 510(k) before including these components in your kit. 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 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, FDA will verify such assumptions. Failure to comply with the GMP regulation may result in regulatory action. In addition, the Food and Drug Administration (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 531 through 542 of the Act for devices under the Electronic Product Radiation Control provisions, or other Federal laws or regulations.
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Page 2 - David A. Wagner, Ph.D.
In addition, we have determined that your device kit contains Helicosol™ (125mg 13C-urea lyophilized powder) which are subject to regulation as a drug.
Our substantially equivalent determination does not apply to the drug component of your device. We recommend you first contact the Center for Drug Evaluation and Research before marketing your device with the drug component (NDA 21-092). For information on applicable Agency requirements for marketing this drug, we suggest you contact:
Mark Goldberger, M.D., M.P.H. Director, Division of Drug Labeling Compliance (HFD-310) Center for Drug Evaluation and Research Food and Drug Administration 5600 Fishers Lane Rockville, Maryland 20857 (301) 827-2366
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 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 (301) 443-6597, or at its internet address "http://www.fda.gov/cdrh/dsma/dsmamain.html".
Sincerely yours,
Kansalain
નું મુખ્યત્વે ખેત i
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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510(k) Number: K990931
Device Name: Ez-HBT Helicobacter Blood Test
Indications for Use:
The Ez-HBT™ Helicobacter Blood Test is intended for use in the qualitative detection of 1302 in whole blood specimens, collected after the ingestion of 3C-urea. Helicobacter pylori (H. pylori) organisms colonizing the lining of the human stomach, produce urease which converts 13 C-urea into 13 CO2 and ammonia (NH4). The device is indicated as an aid in the diagnosis of H. pylori infection in symptomatic adult subjects, 18 years or older. For use by health care professionals. Administer test under a physician's supervision. Metabolic Solutions, Inc. or a qualified laboratory using Gas Isotope Ratio Mass Spectrometry or equivalent instrumentation must analyze the test samples.
(PLEASE DO NOT WRITE BELOW THIS LINE - CONTINUE ON ANOTHER PAGE IF NECESSARY)
Concurrence of CDRH, Office of Device Evaluation (ODE)
Woody Dubrie
cal Laboratory Devices Division of Cli 510(k) Number _
Prescription Use_ X (Per 21 CFR 801.109) OR
Over-The-Counter Use ------
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.