K220940 · GE Medical Systems Ultrasound and Primary Care Diagnostics · QIH · Jul 22, 2022 · Radiology
Device Facts
Record ID
K220940
Device Name
EchoPAC Software Only, EchoPAC Plug-in
Applicant
GE Medical Systems Ultrasound and Primary Care Diagnostics
Product Code
QIH · Radiology
Decision Date
Jul 22, 2022
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.2050
Device Class
Class 2
Attributes
AI/ML, Software as a Medical Device, Pediatric
AI Performance
Output
Algorithm
Acceptance
Observed
Dev DS
Dev Readers
Test DS
Test Readers
Left Ventricle Ejection Fraction
AI Auto ROI algorithm
—
Average dice score 92% or higher (across countries), 91% or higher (across scanning views), 92% or higher (across left ventricle volumes)
—
—
135 images extracted from 45 exams
>1 (cardiologists) + >1 (expert readers)
Left Ventricle Area Fraction
AI Auto ROI algorithm
—
Average dice score 92% or higher (across countries), 91% or higher (across scanning views), 92% or higher (across left ventricle volumes)
—
—
135 images extracted from 45 exams
>1 (cardiologists) + >1 (expert readers)
Indications for Use
EchoPAC Software Only / EchoPAC Plug-in is intended for diagnostic review and analysis of ultrasound images, patient record management and reporting, for use by, or on the order of a licensed physician. EchoPAC Software Only / EchoPAC Plug-in allows post-processing of raw data images from GE ultrasound scanners and DICOM ultrasound images. Ultrasound images are acquired via B (2D), M, Color M modes, Color, Power, Pulsed and CW Doppler modes, Coded Pulse, Harmonic, 3D, and Real time (RT) 3D Mode (4D). Clinical applications include: Fetal/Obstetrics; Abdominal (including renal and GYN); Urology (including prostate); Pediatric; Small organs (breast, testes, thyroid); Neonatal and Adult Cephalic; Cardiac (adult and pediatric); Peripheral Vascular; Transesophageal (TEE); Musculo-skeletal Conventional; Musculo-skeletal Superficial; Transrectal (TR); Transvaginal (TV); Intraoperative (vascular); Intra-Cardiac; Thoracic/Pleural and Intra-Luminal.
Device Story
Software-only workstation application for ultrasound image post-processing, analysis, and reporting. Inputs: raw data from GE ultrasound scanners and DICOM images from other systems. Operation: installed on customer PC or hosted via PACS workstation. Features: image processing, annotation, measurement, report generation, and communication. Includes AI-based automated ROI algorithms (Easy AutoEF, Easy AFI LV) for cardiac analysis. Used by physicians or on their order in clinical settings. Output: processed images, measurements, and clinical reports. Benefits: facilitates diagnostic review, workflow efficiency, and standardized cardiac quantification.
Clinical Evidence
No clinical studies required. Bench testing only. AI algorithm performance (Easy AutoEF and Easy AFI LV) validated using 135 images from 45 exams. Ground truth established by consensus of two certified cardiologists with expert panel review for disagreements. Performance metrics: Dice score ≥92% across different countries, ≥91% across scanning views, and ≥92% across LV volumes. Testing data independent from training data via site separation.
Technological Characteristics
Software-only medical image management and processing system. DICOM compliant. Connectivity via LAN. Standards: ISO 14971 (risk management), NEMA PS 3.1-3.20 (DICOM), IEC 62304 (software lifecycle), IEC 62366-1 (usability). Features AI-based automated ROI algorithms for cardiac analysis.
Indications for Use
Indicated for diagnostic review, analysis, and reporting of ultrasound images in adult and pediatric patients across various clinical applications including fetal/obstetrics, abdominal, urology, pediatric, small organs, neonatal, vascular, cardiac, and musculoskeletal.
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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GE Medical Systems Ultrasound and Primary Care Diagnostics, LLC % Lee Bush Regulatory Affairs Director 9900 W. Innovation Drive WAUWATOSA WI 53226
### Re: K220940
July 22, 2022
Trade/Device Name: EchoPAC Software Only/ EchoPAC Plug-in Regulation Number: 21 CFR 892.2050 Regulation Name: Medical image management and processing system Regulatory Class: Class II Product Code: QIH, LLZ Dated: June 30, 2022 Received: July 1, 2022
Dear Lee Bush:
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 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
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https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (QS) 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 https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
For comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medicaldevices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). 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 (https://www.fda.gov/medical-device-advice-comprehensive-regulatoryassistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
Jessica Lamb, Ph.D. Assistant Director Imaging Software Team DHT8B: Division of Imaging Devices and Electronic Products OHT8: Office of Radiological Health Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
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## Indications for Use
510(k) Number (if known)
Device Name
EchoPAC Software Only / EchoPAC Plug-in
#### Indications for Use (Describe)
EchoPAC Software Only / EchoPAC Plug-in is intended for diagnostic review and analysis of ultrasound images, patient record management and reporting, for use by, or on the order of a licensed physician. EchoPAC Software Only / EchoPAC Plug-in allows post-processing of raw data images from GE ultrasound scanners and DICOM ultrasound images.
Ultrasound images are acquired via B (2D), M, Color M modes, Color, Power, Pulsed and CW Doppler modes, Coded Pulse, Harmonic,3D, and Real time (RT) 3D Mode (4D).
Clinical applications include: Fetal/Obstetrics; Abdominal (including renal and GYN); Urology (including prostate); Pediatric; Small organs (breast, testes, thyroid); Neonatal and Adult and pediatric); Peripheral Vascular; Transesophageal (TEE); Musculo-skeletal Conventional; Musculo-skeletal Superficial; Transrectal (TR); Transvaginal (TV): Intraoperative ( vascular); Intra-Cardiac; Thoracic/Pleural and Intra-Luminal.
| Type of Use (Select one or both, as applicable) | |
|-----------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------|
| <span style="font-size:10pt"> <span style="font-family:Wingdings">☑</span> Prescription Use (Part 21 CFR 801 Subpart D) </span> | <span style="font-size:10pt"> <span style="font-family:Wingdings">☐</span> Over-The-Counter Use (21 CFR 801 Subpart C) </span> |
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GE Healthcare 510(k) Premarket Notification Submission
## 510(k) Summary
In accordance with 21 CFR 807.92 the following summary of information is provided:
| Date: | July 21, 2022 |
|----------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Submitter: | GE Medical Systems Ultrasound and Primary Care Diagnostics<br>9900 Innovation Drive<br>Wauwatosa, WI 53226 |
| Primary Contact Person: | Lee Bush<br>Regulatory Affairs Director GE<br>Healthcare<br>T:(262)309-9429 |
| Secondary Contact Person: | Charlotte Jørgensen<br>Sr. Regulatory Affairs Leader GE<br>Healthcare |
| Device Trade Name: | EchoPAC Software Only / EchoPAC Plug-in |
| Common/Usual Name: | Workstation Software for ultrasound image review,<br>analysis and reporting |
| Classification Names: | Class II |
| Product Code(s):<br>(Primary) | Automated Radiological Image Processing Software, 21 CFR<br>892.2050, QIH |
| Product Code(s):<br>(Secondary) | Picture Archiving and Communications System, 21 CFR 892.2050, LL |
| Predicate Device:<br>Classification Names:<br>Product Code(s): | EchoPAC Software Only / EchoPAC Plug-in (K200852), Workstation<br>Software for ultrasound image review, analysis and reporting<br>Class II<br>Picture Archiving and Communications System, 21 CFR 892.2050, LL |
| Reference Device:<br>Classification Names:<br>Product Code(s): | LOGIQ E10 (K211488), Diagnostic Ultrasound System<br>Class II<br>Ultrasonic Pulsed Doppler Imaging System, 21CFR 892.1550, 90-IYN<br>Ultrasonic Pulsed Echo Imaging System, 21CFR 892.1560, 90-IYO<br>Diagnostic Ultrasound Transducer, 21 CFR 892.1570, 90-ITX |
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Image /page/4/Picture/0 description: The image shows the General Electric (GE) logo. The logo consists of the letters 'g' and 'e' intertwined in a stylized script, enclosed within a circular frame. The color of the logo is a light blue.
# GE Healthcare
510(k) Premarket Notification Submission
| Reference Device: | Vivid E95 (K202658), Diagnostic Ultrasound System |
|-----------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Classification Names: | Class II |
| Product Code(s): | Ultrasonic Pulsed Doppler Imaging System, 21CFR 892.1550, 90-IYN<br>Ultrasonic Pulsed Echo Imaging System, 21CFR 892.1560, 90-IYO<br>Diagnostic Ultrasound Transducer, 21 CFR 892.1570, 90-ITX |
| Reference Device: | Venue (K202132), Diagnostic Ultrasound System |
| Classification Names: | Class II |
| Product Code(s): | Ultrasonic Pulsed Doppler Imaging System, 21CFR 892.1550, 90-IYN<br>Ultrasonic Pulsed Echo Imaging System, 21CFR 892.1560, 90-IYO<br>Diagnostic Ultrasound Transducer, 21 CFR 892.1570, 90-ITX |
### Device Description:
EchoPAC Software Only / EchoPAC Plug-in provides image processing, annotation, analysis, measurement, report generation, communication, storage and retrieval functionality to ultrasound images that are acquired via the GE Healthcare Vivid family of ultrasound systems, as well as DICOM images from other ultrasound systems. EchoPAC Software Only will be offered as SW only to be installed directly on customer PC hardware and EchoPAC Plug-in is intended to be hosted by a generalized PACS host workstation. EchoPAC Software Only / EchoPAC Plug-in is DICOM compliant, transferring images and data via LAN between systems, hard copy devices, file servers and other workstations.
### Intended Use/Indication for Use:
EchoPAC Software Only / EchoPAC Plug-in is intended for diagnostic review and analysis of ultrasound images, patient record management and reporting, for use by, or on the order of a licensed physician. EchoPAC Software Only / EchoPAC Plug-in allows post-processing of raw data images from GE ultrasound scanners and DICOM ultrasound images.
Ultrasound images are acquired via B (2D), M, Color M modes, Color, Power, Pulsed and CW Doppler modes, Coded Pulse, Harmonic, 3D, and Real time (RT) 3D Mode (4D).
Clinical applications include: Fetal/Obstetrics; Abdominal (including renal and GYN); Urology (including prostate); Pediatric; Small organs (breast, testes, thyroid); Neonatal and Adult Cephalic; Cardiac (adult and pediatric); Peripheral Vascular; Transesophageal (TEE); Musculo-skeletal Conventional; Musculo-skeletal Superficial; Transrectal (TR); Transvaginal (TV); Intraoperative (vascular); Intra-Cardiac; Thoracic/Pleural and Intra-Luminal.
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Image /page/5/Picture/0 description: The image shows the General Electric (GE) logo. The logo consists of the letters 'g' and 'e' intertwined in a stylized script. The intertwined letters are enclosed within a circular shape, and the entire logo is in a light blue color.
GE Healthcare 510(k) Premarket Notification Submission
Technology:
The EchoPAC Software Only / EchoPAC Plug-in employs the same fundamental scientific technology as its predicate device.
Determination of Substantial Equivalence:
The proposed EchoPAC Software Only / EchoPAC Plug-in is substantially equivalent to the predicate EchoPAC Software Only / EchoPAC Plug-in and reference devices with regards to intended use, indications for use, imaging capabilities, technological characteristics and safety effectiveness.
The following is an overview of the differences between the proposed EchoPAC Software Only / EchoPAC Plug-in and its predicate device.
Indications for use:
- Added Thoracic/Pleural application, cleared in reference Venue (K202132) ●
Software:
- Added CT Fusion, cleared in reference Vivid E95 (K202658) ●
- Added workflow enhancements tools: Dual Crop, Pre-Post Compare and ● SR Interpreter
- . Updates made to: Flexi-Slice, Launchpad, DICOM Spooler, 4D Auto LVQ and 4D Auto TVQ
- Added Easy AutoEF -based on AutoEF 3.0 (includes AI Auto ROI algorithm)
- Added Easy AFI LV -based on AFI 3.0 (includes AI Auto ROI algorithm) ●
- Added Spline Tool -area measurement method ●
- Added Strain Elastography feature, cleared in LOGIO E10 (K211488)
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Image /page/6/Picture/0 description: The image shows the General Electric (GE) logo. The logo consists of the letters 'GE' intertwined within a circular border. The logo is in a light blue color, and the background is white.
GE Healthcare
510(k) Premarket Notification Submission
Summary of Non-Clinical Tests:
The EchoPAC Software Only / EchoPAC Plug-in complies with voluntary standards:
- ISO 14971, Application of risk management to medical devices, 2019 ●
- NEMA PS 3.1 3.20. Digital Imaging and Communications in Medicine . (DICOM) Set. (Radiology), 2016
- IEC 62304:2006 A1 2015 - Medical device software - Software life cycle process
- IEC 62366-1: 2015 Medical Device-Part 1: Application of Usability ●
The following quality assurance measures are applied to the development of the system:
- Risk Analysis .
- Requirements Reviews
- Design Reviews
- Testing on unit level (Module verification) ●
- Integration testing (System verification)
- Performance testing (Verification) ●
- . Safety testing (Verification)
## AI Summary of Testing: Easy Auto EF and Easy AFI LV
Summary test statistics or other test results including acceptance criteria or other information supporting the appropriateness of the characterized performance
- The accuracy of the AI algorithm (average dice score) as tested on datasets from different ● countries, is 92% or higher; as tested on datasets from different scanning views, is 91% or higher; as tested on dataset from different left ventricle volumes, is 92% or higher.
- The number of individual patients' images were collected from: . 45 exams from assumed 45 patients (exact number of patients unknown due to anonymization of dataset).
- The number of samples, if different from above, and the relationship between the two: ● 135 images extracted from the 45 exams
Demographic distribution including:
- Gender: Unknown, due to data anonymization during data collection
- Age: Adult, specific age unknown ●
- Ethnicity/Country: Europe, Asia, US
Information about clinical subgroups and confounders present in the dataset:
- During testing of the AI algorithm, we have included images from different countries, ● from different scanning views, and a range of different LV Volumes
Information about equipment and protocols used to collect images:
- Mix of data from across 5 different probes and 4 different Console variants. The data collection protocol was standardized across all data collection sites.
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Image /page/7/Picture/0 description: The image shows the logo for General Electric (GE). The logo consists of the letters "ge" in a stylized, cursive font, enclosed within a circular frame. The frame has decorative swirls or flourishes around the perimeter. The logo is presented in a blue color.
GE Healthcare 510(k) Premarket Notification Submission
Information about how the reference standard was derived from the dataset (i.e., the "truthing" process)
- . For all datasets, two certified cardiologists performed manual delineation, then reviewed the annotations for each other. A consensus reading was first done whereby the two cardiologists discussed if they agreed on or not. A panel of experienced experts further reviewed annotations that the two cardiologists could not agree on.
- Hence, the ground truth used are the annotations that the two cardiologists agreed with ● Each other, and the consensus annotations achieved in the review meeting by a panel of experienced experts.
Description of how independence of test data from training data was ensured.
- To ensure that the testing dataset is not mixed with the training data, we used datasets from different clinical sites for testing as compared to the clinical sites for training.
Summary of Clinical Tests:
The subject of this premarket submission, EchoPAC Software Only / EchoPAC Plug-in, did not require clinical studies to support substantial equivalence.
### Conclusion:
GE Healthcare considers the EchoPAC Software Only / EchoPAC Plug-in to be as safe, as effective, and performance is substantially equivalent to the predicate and reference devices.
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.