K161959 · Clearview Diagnostics, Inc. · LLZ · Dec 28, 2016 · Radiology
Device Facts
Record ID
K161959
Device Name
ClearView cCAD
Applicant
Clearview Diagnostics, Inc.
Product Code
LLZ · Radiology
Decision Date
Dec 28, 2016
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.2050
Device Class
Class 2
Attributes
Software as a Medical Device
AI Performance
Output
Algorithm
Acceptance
Observed
Dev DS
Dev Readers
Test DS
Test Readers
Breast ultrasound lesion shape classification
Multivariate pattern recognition with BI-RADS models
—
Statistically equivalent to radiologist performance within 95% confidence interval
—
—
Bench testing dataset: 1204 cases for shape
3 (MQSA certified skilled physicians)
Breast ultrasound lesion orientation classification
Multivariate pattern recognition with BI-RADS models
—
Statistically equivalent to radiologist performance within 95% confidence interval
—
—
Bench testing dataset: 1227 lesions for orientation
3 (MQSA certified skilled physicians)
Indications for Use
ClearView cCAD is a software application designed to assist skilled physicians in analyzing breast ultrasound images. ClearView cCAD automatically classifies shape and orientation characteristics of user-selected regions of interest (ROIs). The software allows the user to annotate, tag, measure, and automatically record and/or store selected views. The software also automatically generates reports from user inputs annotated during the image analysis process as well as the automatically generated characteristics. The output of this system will be a DICOM compatible (e.g. grayscale softcopy presentation state (GSPS)) and/or PDF report that can be sent along with the original image to standard film or paper printers or sent electronically to an intranet webserver or other DICOM compatible device. cCAD includes options to annotate and describe the image based on the ACR BI-RADS® Breast Imaging Atlas. In addition, the report form has been designed to support compliance with the ACR BI-RADS ® Ultrasound Lexicon Classification Form. When interpreted by a skilled physician, this device provides information that may be useful in screening and diagnosis. Patient management decision should not be made solely on the results of the cCAD analysis. The ultrasound images displayed on cCAD must not be used for primary diagnostic interpretation.
Device Story
ClearView cCAD is a web-based software application for breast ultrasound analysis. It accepts DICOM-compliant images from ultrasound devices or PACS servers. The user selects a region of interest (ROI) via a bounding box; the software then applies multivariate pattern recognition and classification algorithms to extract shape and orientation characteristics. It generates DICOM-compatible overlays (GSPS) and PDF reports, supporting ACR BI-RADS® lexicon compliance. Used in clinical settings by radiologists/physicians to assist in screening and diagnosis; it does not perform automated lesion segmentation. The output serves as a secondary tool to aid physician assessment; it is not intended for primary diagnostic interpretation. The system benefits patients by providing standardized, objective lesion characterization to support clinical decision-making.
Clinical Evidence
Bench testing only. Concordance evaluated against ground truth established by three MQSA-certified radiologists (each >20 years experience, >3000 reads/year). Dataset included 1204 cases for shape and 1227 lesions for orientation. Results showed overall accuracy within the 95% confidence interval of radiologist performance, confirming statistical equivalence for BI-RADS® shape and orientation parameters.
Technological Characteristics
Software-only device; operates on Windows 7 or higher/Windows Embedded platforms. Web-service architecture; platform agnostic. Inputs: DICOM-compliant digital medical files. Outputs: DICOM GSPS overlays and PDF reports. Employs multivariate pattern recognition, statistical, texture, shape, and orientation descriptors. No specialized hardware required; relies on network, Microsoft IIS, and SQL support.
Indications for Use
Indicated for use by skilled physicians to assist in the analysis of breast ultrasound images, specifically for classifying shape and orientation characteristics of user-selected regions of interest (ROIs) to support ACR BI-RADS® lexicon compliance in screening and diagnosis. Not for primary diagnostic interpretation; patient management decisions should not be based solely on device output.
Regulatory Classification
Identification
A medical image management and processing system is a device that provides one or more capabilities relating to the review and digital processing of medical images for the purposes of interpretation by a trained practitioner of disease detection, diagnosis, or patient management. The software components may provide advanced or complex image processing functions for image manipulation, enhancement, or quantification that are intended for use in the interpretation and analysis of medical images. Advanced image manipulation functions may include image segmentation, multimodality image registration, or 3D visualization. Complex quantitative functions may include semi-automated measurements or time-series measurements.
Special Controls
*Classification.* Class II (special controls; voluntary standards—Digital Imaging and Communications in Medicine (DICOM) Std., Joint Photographic Experts Group (JPEG) Std., Society of Motion Picture and Television Engineers (SMPTE) Test Pattern).
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Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
December 28, 2016
ClearView Diagnostics, Inc. % Ms. Christine Podilchuk CEO 371 Hoes Lane, Suite 205 PISCATAWAY NJ 08854
Re: K161959 Trade/Device Name: ClearView cCAD Regulation Number: 21 CFR 892.2050 Regulation Name: Picture archiving and communications system Regulatory Class: II Product Code: LLZ Dated: November 23, 2016 Received: November 28, 2016
Dear Ms. Podilchuk:
We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and 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) that do not require approval of a premarket approval application (PMA). 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. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), 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 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting (reporting of medical device-related adverse events) (21 CFR 803); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820); and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
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If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please contact the Division of Industry and Consumer Education at its toll-free number (800) 638 2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/Resourcesfor You/Industry/default.htm. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to
http://www.fda.gov/MedicalDevices/Safety/ReportaProblem/default.htm for the CDRH's Office of Surveillance and Biometrics/Division of Postmarket Surveillance.
You may obtain other general information on your responsibilities under the Act from the Division of Industry and Consumer Education at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm.
Sincerelv vours.
Michael D'Hara
For
Robert Ochs, Ph.D. Director Division of Radiological Health Office of In Vitro Diagnostics and Radiological Health Center for Devices and Radiological Health
Enclosure
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# Indications for Use
510(k) Number (if known) K161959
Device Name ClearView cCAD
#### Indications for Use (Describe)
ClearView cCAD is a software application designed to assist skilled physicians in analyzing breast ultrasound images. ClearView cCAD automatically classifies shape and orientation characteristics of user-selected regions of interest (ROIs).
The software allows the user to annotate, and automatically record and/or store selected views. The software also automatically generates reports from user inputs annotated during the image analysis process as well as the automatically generated characteristics. The output of this system will be a DICOM compatible (e.g. grayscale softcopy presentation state (GSPS)) and/or PDF report that can be sent along with the original image to standard film or paper printers or sent electronically to an intranet webserver or other DICOM compatible device.
cCAD includes options to annotate and describe the image based on the ACR BI-RADS® Breast Imaging Atlas. In addition. the report form has been designed to support compliance with the ACR BI-RADS @ Ultrasound Lexicon Classification Form.
When interpreted by a skilled physician, this device provides information that may be useful in screening and diagnosis. Patient management decision should not be made solely on the results of the cCAD analysis. The ultrasound images displayed on cCAD must not be used for primary diagnostic interpretation.
Type of Use *(Select one or both, as applicable)*
| <div> <span> <svg height="15" width="15"> <rect height="15" style="fill:none;stroke-width:2;stroke:rgb(0,0,0)" width="15"></rect> <line style="stroke:rgb(0,0,0);stroke-width:2" x1="2" x2="13" y1="2" y2="13"></line> <line style="stroke:rgb(0,0,0);stroke-width:2" x1="13" x2="2" y1="2" y2="13"></line> </svg> </span> Prescription Use (Part 21 CFR 801 Subpart D) </div> | <div> <span> <svg height="15" width="15"> <rect height="15" style="fill:none;stroke-width:2;stroke:rgb(0,0,0)" width="15"></rect> </svg> </span> Over-The-Counter Use (21 CFR 801 Subpart C) </div> |
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# 5. 510(k) Summary of Safety and Effectiveness
This 510(k) summary of safety and effectiveness information is submitted as part of the Premarket Notification in accordance with the requirements of 21 CFR Part 807, Subpart E and Section 807.92.
### 1. Identification of Submitter:
| Submitter: | ClearView Diagnostics Inc |
|---------------|-------------------------------------------------|
| Address: | 371 Hoes Lane Suite 205<br>Piscataway, NJ 08854 |
| Phone: | 732-529-5755 |
| Fax: | 732-529-5757 |
| Contact: | Christine Podilchuk |
| Title: | CEO |
| Phone: | 908-616-1945 |
| Fax: | 732-529-5757 |
| Summary Date: | October 21, 2016 |
### 2. Identification of Product:
Device Name: ClearView cCAD. Version 1.1.0 Device Common Name: Image Analysis Software Device Classification: 21 CFR 892.2050, Class II, LLZ (90) Classification Name: Image Processing System Manufacturer: ClearView Diagnostics Inc.
# 3. Marketed Devices
The ClearView cCAD system provides an automated analysis of lesion characteristics in order to facilitate the proper assessment of lesion characteristics and compliance with the ACR BI-RADS® ultrasound lexicon classification form. In terms of safety and performance, this software medical device is substantially equivalent to the device listed below:
Model: B-CAD System, Version 1.0 Manufacturer: The Medipattern Corporation 510(k) Numbers: K050846
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## 4. Device Description
ClearView cCAD is a software application designed to assist skilled physicians in analyzing breast ultrasound images. ClearView cCAD automatically classifies shape and orientation characteristics of user-selected regions of interest (ROIs). The device uses multivariate pattern recognition methods to perform characterization and classification of images.
For breast ultrasound, these pattern recognition and classification methods are used by a radiologist to analyze such features as shape, orientation, and putative BI-RADS® category which can then be used to describe the lesion in the ACR BI-RADS® breast ultrasound lexicon as well as assigning an ACR BI-RADS® categorization which is intended to support compliance with the ACR BI-RADS® ultrasound lexicon classification form. Similarly, this process can be used to assist in training, evaluation, and tracking of physician performance.
The cCAD software can be run on any Windows 7 or higher or Windows Embedded platform that has network, Microsoft IIS, and Microsoft SQL support and is cleared for use in medical imaging. The software does not require any specialized hardware, but the time to process ROIs will vary depending on the hardware specifications. ClearView cCAD is based on core BI-RADS models and lesion characteristic extraction algorithms that can use novel statistical, texture, shape, orientation descriptors, and physician input to help with proper ACR BI-RADS® assessment.
The ClearView cCAD processing software is a platform agnostic web service that queries and accepts DICOM compliant digital medical files from an ultrasound device, another DICOM source, or PACS server. To initiate analysis and processing, images are queried from a compatible location and loaded for display within the application. The user then selects an ROI to analyze by clicking and dragging a bounding box around the region requiring analysis. Once selected, the user then clicks the processing button which initiates the analysis and processing sequence. The results are displayed to the user on the monitor and can then be selected for automated reporting, storage, or modification. The output of this system will be a DICOM compatible overlay (e.g. grayscale softcopy presentation state (GSPS)) and/or PDF report that can be sent along with the original image to standard film or paper printers or sent electronically to an intranet webserver or other DICOM compatible devices distributed by various OEM vendors. All fields may be modified by the user at any time during the analysis and prior to archiving.
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# 5. Indications for Use
ClearView cCAD is a software application designed to assist skilled physicians in analyzing breast ultrasound images. ClearView cCAD automatically classifies shape and orientation characteristics of user-selected regions of interest (ROIs).
The software allows the user to annotate, tag, measure, and automatically record and/or store selected views. The software also automatically generates reports from user inputs annotated during the image analysis process as well as the automatically generated characteristics. The output of this system will be a DICOM compatible (e.g. grayscale softcopy presentation state (GSPS)) and/or PDF report that can be sent along with the original image to standard film or paper printers or sent electronically to an intranet webserver or other DICOM compatible device.
cCAD includes options to annotate and describe the image based on the ACR BI-RADS® Breast Imaging Atlas. In addition, the report form has been designed to support compliance with the ACR BI-RADS ® Ultrasound Lexicon Classification Form.
When interpreted by a skilled physician, this device provides information that may be useful in screening and diagnosis. Patient management decision should not be made solely on the results of the cCAD analysis. The ultrasound images displayed on cCAD must not be used for primary diagnostic interpretation.
| Product | BCAD (K050846) | ClearView cCAD |
|-----------------------------|------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Characteristics | Software for automated analysis of<br>breast ultrasound lesions. | Software for automated analysis of<br>breast ultrasound lesions. |
| | Intended Use | Computer aided analysis tool<br>intended to assist skilled physicians<br>in screening and diagnosis as well as<br>compliance with ACR BI-RADS®<br>ultrasound lexicon form. |
| Physical<br>Characteristics | Software Package<br>Operates on off-the-shelf hardware | Software Package<br>Operates on off-the-shelf hardware |
| Computer | PC compatible | PC compatible |
| Operating<br>System | Windows XP, Windows 2000 | Windows 7, and higher, Windows<br>Embedded |
| Storage | Storage not supported | Storage not supported |
| Image Input | DICOM | DICOM |
#### 6. Substantial Equivalence Chart
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For further discussion, please see sections 7 and 8.
## 7. Indications for Use Comparison
The indications for use for ClearView cCAD are substantially equivalent to those from the predicate device BCAD with one minor exception. In the BCAD indications for use they indicate their software automatically segments lesions whereas the cCAD software does not automatically segment lesions. The segmentation is not needed in the Clear View cCAD automatic classification of shape and orientation characteristics. The performance of the cCAD system has been shown to be just as effective as a radiologist's performance without the additional segmentation step. This performance is comparable to the BCAD predicate device and as such, the omission of the automatic segmentation step does not impact the safety and effectiveness of the device when used as labeled.
In addition, patient management decisions are not being made solely based on the results from either the cCAD analysis or the BCAD output.
# 8. Features and Principles of Operation Comparison
ClearView cCAD is similar to predicate devices BCAD (K050846) as a software package that operates on standard off-the-shelf hardware and supports automated analysis of lesion shape and orientation in DICOM format. ClearView cCAD contains novel shape and orientation algorithms that likely differ from the algorithms used in the BCAD product. Since ClearView does not have access to the data BCAD was evaluated on, these algorithms have been tested for agreement against MQSA certified radiologists as described in section 18.
The cCAD software platform also does not perform segmentation of the lesions at any point in its pipeline for characteristics analysis and as such does not display segmentation results in contrast to the BCAD product. This difference also does not impact overall performance as assessed and described in section 18.
The cCAD client is web based, whereas the BCAD product was a standalone application. This raises the question of equivalence which is addressed by Software Requirements 120 and 122, specific mitigations were taken to ensure that all image analysis was performed on the original full resolution images and is agnostic to the display and/or hardware accessing the client. In addition, as per the IFU of both cCAD and its predicate devices, the cCAD software is not to be used as the primary diagnostic interpretation platform.
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### 9. Non-Clinical Performance Data
Bench testing was performed to ascertain the degree of concordance with skilled physicians. Ground truth for shape and orientation supplied by three MQSA certified skilled physicians, each with over 20 years of experience and at least 3000 images read per year evaluated this dataset on the aforementioned parameters. The system was analyzed on 1204 cases which had majority decision on shape and 1227 lesions which had majority decision on orientation. The Clearview cCAD system was able to achieve overall accuracy that fell within the 95% confidence interval of the radiologist performance, rendering them statistically equivalent. Based on these metrics, the ability of ClearView's cCAD system to discern BI-RADS® based shape and orientation parameters was confirmed.
#### 10. Conclusion
After analyzing bench testing data. it is the conclusion of ClearView Diagnostics that the ClearView cCAD System is as safe and effective as the predicate devices, has few technological differences, only a minor change to the indications for use, and only minor interface changes, thus rendering it substantially equivalent to the predicate device.
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.