The ZOLL ECG Analysis Software is intended for use by qualified medical professionals for the assessment of arrhythmias. The ECG Analysis Software supports reading and analysis of ECG data recorded in compatible formats. The ECG Analysis Software is intended for use with ECG management software through an electronic interface. The ECG Analysis Software provides ECG signal processing and analysis on a beat by beat basis, QRS and Ectopic Beat detection, heart rate measurement, and rhythm analysis. The ECG Analysis Software is not for use in life supporting or sustaining systems or ECG monitoring and Alarm devices.
Device Story
ZOLL ECG Analysis Software is a SaMD library providing automated ECG signal processing and interpretation. It accepts up to 3 leads of captured ECG data via an API. The software performs beat-by-beat analysis, QRS detection, heart rate measurement, and rhythm classification (e.g., bradycardia, tachycardia, AFib, AV blocks, ventricular runs). It is intended for use by trained medical professionals within ECG management software to assist in diagnostic decision-making. The software does not provide real-time monitoring or alarms. It is designed to be called by Windows-based applications (C++, C#, MATLAB) and requires MATLAB Runtime R2015B. By automating rhythm interpretation, it supports clinicians in identifying arrhythmias, potentially leading to faster or more accurate diagnostic and treatment decisions.
Clinical Evidence
No clinical trials were conducted. Safety and effectiveness were demonstrated through bench-level verification and validation (V&V). Performance validation followed AAMI/ANSI EC57:2012, utilizing standard ECG databases to assess arrhythmia detection and heart rate estimation accuracy. Results confirmed the software meets clinical requirements for its intended use.
Technological Characteristics
SaMD library accessed via API; Windows-compatible (C++, C#, MATLAB); requires MATLAB Runtime R2015B. Performs signal processing, QRS detection, and rhythm interpretation. Validated per AAMI/ANSI EC57:2012. Moderate level of concern.
Indications for Use
Indicated for use by qualified medical professionals for the assessment of arrhythmias in adult patients. Not for use in life-supporting/sustaining systems or ECG monitoring and alarm devices.
Regulatory Classification
Identification
An electrocardiograph is a device used to process the electrical signal transmitted through two or more electrocardiograph electrodes and to produce a visual display of the electrical signal produced by the heart.
Predicate Devices
Monebo Automated ECG Analysis and Interpretation Software Library (K062282)
Submission Summary (Full Text)
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Image /page/0/Picture/0 description: The image contains the logo of the U.S. Food and Drug Administration (FDA). The logo consists of two parts: the Department of Health & Human Services logo on the left and the FDA logo on the right. The FDA logo features the letters 'FDA' in a blue square, followed by the words 'U.S. FOOD & DRUG ADMINISTRATION' in blue text.
January 28, 2019
ZOLL Manufacturing Corporation Zachary Nelson Sr. Regulatory Affairs Manager 2000 Ringwood Avenue San Jose, California 95131
Re: K182093
Trade/Device Name: ZOLL ECG Analysis Software Regulation Number: 21 CFR 870.2340 Regulation Name: Electrocardiograph Regulatory Class: Class II Product Code: DPS Dated: December 20, 2018 Received: December 26, 2018
# Dear Zachary Nelson:
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. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database located at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. 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
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801); medical device reporting of medical device-related adverse events) (21 CFR 803) for devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see https://www.fda.gov/CombinationProducts/GuidanceRegulatoryInformation/ucm597488.htm); good manufacturing practice requirements as set forth in the quality systems (OS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
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 comprehensive regulatory information about mediation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/MedicalDevices/DeviceRegulationandGuidance/) and CDRH Learn (http://www.fda.gov/Training/CDRHLearn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (http://www.fda.gov/DICE) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
# Arielle Drummond -S
for
Bram D. Zuckerman, M.D.
Director Director Division of Cardiovascular Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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# Indications for Use
510(k) Number (if known) K182093
Device Name ZOLL ECG Analysis Software
#### Indications for Use (Describe)
The ZOLL ECG Analysis Software is intended for use by qualified medical professionals for the assessment of arrhythmias. The ECG Analysis Software supports reading and analysis of ECG data recorded in compatible formats. The ECG Analysis Software is intended for use with ECG management software through an electronic interface. The ECG Analysis Software provides ECG signal processing and analysis on a beat by beat basis, QRS and Ectopic Beat detection, heart rate measurement, and rhythm analysis. The ECG Analysis Software is not for use in life supporting or sustaining systems or ECG monitoring and Alarm devices.
| Type of Use ( <i>Select one or both, as applicable</i> ) | |
|-------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------|
| <div> <span> <b> \[x] Prescription Use (Part 21 CFR 801 Subpart D) </b> </span> </div> | <div> <span> <b> \[ ] Over-The-Counter Use (21 CFR 801 Subpart C) </b> </span> </div> |
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# 7. 510(k) Summary
| 510(k) Owner: | ZOLL Manufacturing Corporation<br>121 Gamma Drive<br>Pittsburgh, PA 51238<br>U. S. A. |
|-----------------------------|------------------------------------------------------------------------------------------------------------------------------------------|
| Contact: | Zachary Nelson<br>Sr. Regulatory Affairs Engineer<br>Phone: 412-968-3333 x14814<br>Fax: 412-592-0953<br>Email: znelson@zoll.com |
| Date Summary Prepared: | January 24, 2019 |
| Trade Name: | ZOLL ECG Analysis Software |
| Common Name: | ECG Analysis Software |
| Device Classification Name: | Electrocardiograph |
| Product Code: | DPS |
| Classification Regulation: | 870.2340 |
| Device Classification: | II |
| Classification Panel: | Cardiovascular (74) |
| Predicate Device: | Monebo Automated ECG Analysis and Interpretation Software Library<br>(K062282)<br>The predicate device has not been subjected to recall. |
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# Device Description
The ZOLL ECG Analysis Software is a SaMD (Software as a Medical Device) which is of Moderate Level of Concern. It is a software library consists of callable functions that are accessible through an Application Programming Interface (API).
The ZOLL ECG Analysis Software provides ECG signal processing, QRS detection, classification of normal/VEB/SVEB, heart rate measurement, and the following rhythm interpretation for up to 3 leads (any combination of the standard 12 leads) of captured ECG data:
- Bradycardia
- . Tachycardia
- Atrial Fibrillation
- . Pause
- Ventricular Runs
- Ventricular Bigeminy / Ventricular Trigeminy
- . Ventricular Tachycardia
- Supraventricular Tachycardia
- 2nd Degree Atrioventricular (AV) Block ●
- . 3rd Degree Atrioventricular (AV) Block
The ZOLL ECG Analysis Software is made up of:
- An ECG analysis engine that is responsible for ECG analysis and interpretation ●
- An API to access the ECG analysis engine
The functions of the ZOLL ECG Analysis Software are intended to be called by a Windows application program written in C++, C# or MATLAB using the Microsoft .NET architecture.
Furthermore, the ZOLL ECG Analysis Software requires the installation of MATLAB Runtime R2015B for execution. The ZOLL ECG Analysis Software has only been tested and validated to be used with MATLAB R2015B."
### Indications for Use Statement
The ZOLL ECG Analysis Software is intended for use by qualified medical professionals for the assessment of arrhythmias. The ECG Analysis Software supports reading and analysis of ECG data recorded in compatible formats. The ECG Analysis Software is intended for use with ECG management software through an electronic interface. The ECG Analysis Software provides ECG signal processing and analysis on a beat by beat basis, QRS and Ectopic Beat detection, heart rate measurement, and rhythm analysis. The ECG Analysis Software is not intended for use in life supporting or sustaining systems or ECG monitoring and Alarm devices.
#### Level of Concern Statement
The ZOLL ECG Analysis Software is a Moderate Level of Concern Software Device.
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The library is intended for use only with devices authorized for commercialization by FDA for acquiring an ECG signal.
The library is not for use in life supporting or sustaining systems or ECG monitoring and Alarm devices.
A latent design flaw, failure or malfunction of the software, which were not revealed during the validation, verification and testing process, is possible over the life of the product. The results could result in a delayed response of appropriate medical care that would lead to injury or further diagnostic evaluations. The intended end users of the ECG analysis information are trained medical professional who are responsible for reviewing the device output and rendering the final diagnostic treatment decision.
### Technological Characteristics and Substantial Equivalence Discussion
The ZOLL ECG Analysis Software and the predicate device Monebo have the same intended use. Both of them are intended for ECG signal analysis and interpretation, intended for use with ECG management software, and not intended for use in life supporting or sustaining systems or ECG monitoring and Alarm devices.
The ZOLL ECG Analysis Software and Monebo have the same technological characteristics. Both of them are software libraries consist of callable functions that are accessible through an API. Both are provided to the users in compiled file (Dynamic Link Library) and for installation in the user's hardware. Both provide ECG signal processing, QRS detection, beat classification, heart rate measurement, and rhythm interpretation.
Table 7-1 provides further comparison between the ZOLL ECG Analysis Software and Monebo.
| | ZOLL ECG Analysis<br>Software<br>(Subject Device) | Monebo<br>(Predicate Device) | Comparison |
|---------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Product Code | DPS | DPS | Same |
| Device<br>Classification | Electrocardiograph | Electrocardiograph | Same |
| Regulation<br>Number | 870.2340 | 870.2340 | Same |
| Device Class | II | II | Same |
| Intended Use | ECG signal analysis and<br>interpretation | ECG signal analysis<br>and interpretation | Same |
| Patient Population | Adult | Adult | Same |
| Level of Concern | Moderate | Moderate | Same |
| | ZOLL ECG Analysis | Monebo | |
| | Software | (Predicate Device) | Comparison |
| | (Subject Device) | | |
| Beat Classification | Classifies and label all<br>beats as "N" (Normal),<br>("V") Ventricular Ectopic<br>Beat, or ("A")<br>Supraventricular Ectopic<br>Beat. | Classifies and labels all<br>beats as Normal (N) or<br>Ventricular (V).<br>V is a Ventricular<br>Ectopic Beat. | Similar.<br>Both the ZOLL ECG Analysis<br>Software and Monebo classify and<br>label Normal, VEB and SVEB.<br>Monebo uses the term APC (Atrial<br>Premature Contraction under their<br>rhythm interpretation section),<br>which is equivalent to SVEB. ZOLL<br>ECG Analysis Software adopts the<br>term SVEB following AAMI/ANSI EC<br>57:2012. |
| Measurement | Heart Rate | - Heart Rate<br>- PR interval<br>- QRS duration<br>- QT interval | Similar.<br>Both the ZOLL ECG Analysis<br>Software and Monebo measure<br>Heart Rate. Monebo additionally<br>provides PR interval, QRS duration<br>and QT interval, lacking of which<br>does not affect the safety and<br>effectiveness of the ZOLL ECG<br>Analysis Software. Both the ZOLL<br>ECG Analysis Software and Monebo<br>are subjected to EC57 testing to<br>verify the accuracy of Heart Rate<br>measurement. Test results<br>demonstrate that the ZOLL ECG<br>Analysis Software is at least as safe<br>and effective as Monebo. |
| Arrhythmia<br>Detection | - Bradycardia<br>- Tachycardia<br>- Atrial Fibrillation<br>- Pause<br>- Ventricular Runs<br>- Ventricular Bigeminy /<br>- Ventricular Trigeminy<br>- Ventricular<br>- Tachycardia<br>- Supraventricular<br>- Tachycardia<br>- 2nd degree<br>- Atrioventricular (AV)<br>- Block<br>- 3rd degree<br>- Atrioventricular (AV)<br>- Block | - Normal Sinus Rhythm<br>(NSR)<br>- Bradycardia<br>- Tachycardia<br>- Nodal Rhythm<br>- Pause<br>- Premature<br>- Ventricular<br>Complexes (PVC)<br>- Atrial Premature<br>Contraction (APC)<br>- Atrial Fibrillation or<br>Flutter<br>- Ventricular<br>- Tachycardia<br>- Supraventricular<br>- Tachycardia<br>- Ventricular Flutter<br>- AV Blocks | Similar.<br>Arrhythmia detected by the ZOLL<br>ECG Analysis Software is a subset of<br>Monebo. Those arrhythmia<br>detected by Monebo but not by the<br>ZOLL ECG Analysis Software are<br>underlined, lacking of which does<br>not affect the safety and<br>effectiveness of the ZOLL ECG<br>Analysis Software.<br>Note that the ZOLL ECG Analysis<br>Software does not explicitly label<br>NSR, and that VEB and SVEB are<br>equivalent to PVC and APC. ZOLL<br>ECG Analysis Software adopts the<br>term VEB and SVEB following<br>AAMI/ANSI EC 57:2012. |
| ZOLL ECG Analysis<br>Software<br>(Subject Device) | Monebo<br>(Predicate Device) | Comparison | |
| | - Bundle Branch Block<br>- Ventricular Trigeminy<br>- Ventricular Bigeminy<br>- Accelerated<br>Idioventricular<br>Rhythm | Both the ZOLL ECG Analysis<br>Software and Monebo are<br>subjected to EC57 testing to<br>validate their arrhythmia detection<br>capability. Test results<br>demonstrate that the ZOLL ECG<br>Analysis Software is at least as safe<br>and effective as Monebo. | |
#### Table 7-1: Comparison Chart between the ZOLL ECG Analysis Software and Monebo
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#### Verification and Validation Activities Data
Since the ZOLL ECG Analysis Software is a SaMD, safety and effectiveness for the software is demonstrated through verification and validation activities (V&V) at the unit, integration and system level. Validation includes performance testing following AAMI/ANSI EC 57:2012 Testing and Reporting Performance Results of Cardiac Rhythm and ST Segment Measurement Algorithms. Table 7-2 below provides a summary of the V&V activities for the ZOLL ECG Analysis Software.
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| Table 7-2:<br>Verification and<br>Validation<br>ActivitiesTitle | Description |
|-----------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Unit Tests | In this verification activity, the smallest testable parts of the ZOLL<br>ECG Analysis Software are individually and independently<br>scrutinized for proper operation. The test cases simulate various<br>operation conditions and error conditions of the ZOLL ECG<br>Analysis Software. Each test case has an input test vector and an<br>expected output. The actual output of each test case is<br>compared to the expected output. All unit tests pass. |
| Functional Tests | Also a part of the verification activities, functional tests are<br>conducted at the integration level. This testing verifies that each<br>function of the ZOLL ECG Analysis Software operates in<br>conformance with the requirement specification when program<br>units are combined. Similar to the unit tests, each functional test<br>case simulates the operation conditions and boundary conditions<br>of the ZOLL ECG Analysis Software. Each test case has an input<br>test vector and an expected output. The actual output of each<br>test case is compared to the expected output. All functional tests<br>pass. |
| API Test | As the sole function of the API is to correctly transfer the input<br>and output parameters into and out of the ZOLL ECG Analysis<br>Software, the API Test therefore is a simple atomic test to verify<br>that the API transfers the input and output parameters correctly.<br>Test result demonstrates that the API correctly transfer the input<br>and output parameters. |
| Performance Test | Performance test is the validation activity conducted for the ZOLL<br>ECG Analysis Software. It is a system level testing that<br>demonstrates the detection capability of the software. Following<br>AAMI/ANSI EC 57:2012 Testing and Reporting Performance<br>Results of Cardiac Rhythm and ST Segment Measurement<br>Algorithms, the ZOLL ECG Analysis Software is applied to the ECG<br>databases required by the standard. The ZOLL ECG Analysis<br>Software is required to generate an attribute file with the analysis<br>results. The test results from the ZOLL ECG Analysis Software are<br>compared to the reference results (which are available as part of<br>the databases) using the comparison applications. Results from<br>the EC 57 testing demonstrates that the performance of the ZOLL<br>ECG Analysis Software meets the clinical requirements for<br>arrhythmia detection and heart rate estimation. |
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# Conclusion
As demonstrated in this 510(k), the ZOLL ECG Analysis Software has the same intended use and technological characteristics as the predicate device Monebo. Both devices have the same questions of safety and effectiveness. Verification and validation activities demonstrate that the ZOLL ECG Analysis Software is at least as safe and effective as Monebo. Therefore, the ZOLL ECG Analysis Software is substantially equivalent to Monebo.
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.