K251342 · GE Medical Systems Ultrasound and Primary Care Diagnostics · QIH · Jul 16, 2025 · Radiology
Device Facts
Record ID
K251342
Device Name
EchoPAC Software Only / EchoPAC Plug-in
Applicant
GE Medical Systems Ultrasound and Primary Care Diagnostics
Product Code
QIH · Radiology
Decision Date
Jul 16, 2025
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
Cardiac Doppler spectrum measurements
AI-based algorithm
Feasibility score > 95% and mean percent absolute error across all cardiac cycles against a threshold
Tissue Doppler: mean -0.002 (SD 0.077) for BMI < 25 and -0.006 (SD 0.081) for BMI >= 25; Flow Doppler: mean 0.021 (SD 0.073) and 0.003 (SD 0.057)
Tissue Doppler development dataset: 1482 recordings from 4 clinical sites; Doppler Trace development dataset: 2070 recordings from 4 clinical sites
>1 (cardiologists) + >1 (clinical experts)
Tissue Doppler testing dataset: 4106 recordings from 805 individuals; Doppler Trace testing dataset: 3390 recordings from 1369 individuals
>1 (cardiologists) + >1 (clinical experts)
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 review, analysis, and reporting. Inputs: raw data from GE ultrasound scanners or standard DICOM ultrasound images. Operation: installed on PC hardware or hosted by PACS workstation; provides post-processing, measurement, and visualization tools (e.g., 4D auto-quantification, AI-based Doppler tracing, image filtering, and fusion). Output: processed images, measurements, and clinical reports. Used in clinical environments by physicians or technicians. Benefits: streamlines workflow, enables advanced cardiac/vascular analysis, and facilitates standardized reporting. Features include AI-assisted Doppler spectrum tracing, LAA device sizing, and volumetric rendering. Supports DICOM connectivity for image transfer and storage.
Clinical Evidence
No clinical studies were required. Bench testing only. AI algorithm performance was verified using independent datasets (4,106 recordings for Tissue Doppler; 3,390 for Doppler Trace) from diverse clinical sites. Performance metrics included mean absolute difference and percent absolute error compared to expert manual measurements. Results met acceptance criteria across BMI groups and various ultrasound consoles/probes. Ground truth established by cardiologists following ASE guidelines with consensus review.
Technological Characteristics
Software-based image processing and analysis system. Connectivity: DICOM compliant, LAN-based. Standards: ISO 14971 (risk management), NEMA PS 3.1-3.20 (DICOM), IEC 62304 (software lifecycle), IEC 62366-1 (usability). Features: AI-based Doppler tracing, 4D volumetric rendering, and real-time image filtering (Clarity+). Deployment: PC-installed or PACS-hosted. Licensing: Cloud-based virtual licensing.
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, small organs, cardiac, vascular, and musculoskeletal. For use by or on the order of a licensed physician.
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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FDA U.S. FOOD & DRUG ADMINISTRATION
July 16, 2025
GE Medical Systems Ultrasound and Primary Care Diagnostics
Lee Bush
Regulatory Affairs Director
3200 N Grandview Blvd
Waukesha, Wisconsin 53188
Re: K251342
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: April 30, 2025
Received: April 30, 2025
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 (the 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 available 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.
U.S. Food & Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993
www.fda.gov
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K251342 - Lee Bush
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Additional information about changes that may require a new premarket notification are provided in the FDA guidance documents entitled "Deciding When to Submit a 510(k) for a Change to an Existing Device" (https://www.fda.gov/media/99812/download) and "Deciding When to Submit a 510(k) for a Software Change to an Existing Device" (https://www.fda.gov/media/99785/download).
Your device is also subject to, among other requirements, the Quality System (QS) regulation (21 CFR Part 820), which includes, but is not limited to, 21 CFR 820.30, Design controls; 21 CFR 820.90, Nonconforming product; and 21 CFR 820.100, Corrective and preventive action. Please note that regardless of whether a change requires premarket review, the QS regulation requires device manufacturers to review and approve changes to device design and production (21 CFR 820.30 and 21 CFR 820.70) and document changes and approvals in the device master record (21 CFR 820.181).
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 Part 803) for devices or postmarketing safety reporting (21 CFR Part 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reporting-combination-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 Part 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR Parts 1000-1050.
All medical devices, including Class I and unclassified devices and combination product device constituent parts are required to be in compliance with the final Unique Device Identification System rule ("UDI Rule"). The UDI Rule requires, among other things, that a device bear a unique device identifier (UDI) on its label and package (21 CFR 801.20(a)) unless an exception or alternative applies (21 CFR 801.20(b)) and that the dates on the device label be formatted in accordance with 21 CFR 801.18. The UDI Rule (21 CFR 830.300(a) and 830.320(b)) also requires that certain information be submitted to the Global Unique Device Identification Database (GUDID) (21 CFR Part 830 Subpart E). For additional information on these requirements, please see the UDI System webpage at https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance/unique-device-identification-system-udi-system.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 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-devices/medical-device-safety/medical-device-reporting-mdr-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/medical-devices/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
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K251342 - Lee Bush
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the DICE website (https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance/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 Radiological 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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DEPARTMENT OF HEALTH AND HUMAN SERVICES
Food and Drug Administration
Indications for Use
Form Approved: OMB No. 0910-0120
Expiration Date: 07/31/2026
See PRA Statement below.
510(k) Number (if known)
K251342
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 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.
Type of Use (Select one or both, as applicable)
☑ Prescription Use (Part 21 CFR 801 Subpart D)
☐ Over-The-Counter Use (21 CFR 801 Subpart C)
CONTINUE ON A SEPARATE PAGE IF NEEDED.
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GE HealthCare
GE HealthCare
510(k) Premarket Notification Submission
# 510(k) Summary
In accordance with 21 CFR 807.92 the following summary of information is provided:
510(k) Number: K251342
Date: July 16, 2025
Submitter: GE Medical Systems Ultrasound and Primary care Diagnostics, LLC
3200 N Grandview Blvd
Waukesha, WI 53188
US
Manufacturer: GE Vingmed Ultrasound AS
Strandpromenaden 45
3193 Horte, Norway
Primary Contact Person: Lee Bush
Regulatory Affairs Director
GE Healthcare
T:(262)309-9429
Secondary Contact Person: Charlotte Jørgensen
Senior Regulatory Affairs Leader
GE Healthcare
Device Trade Name: EchoPAC Software Only / EchoPAC Plug-in
Common/Usual Name: Workstation Software for ultrasound image review, analysis and reporting
Classification Names: Class II
Product Code(s): QIH (primary), LLZ (secondary)
Automated Radiological Image Processing Software, 21 CFR
892.2050, QIH
Picture Archiving and Communications System, 21 CFR 892.2050, LLZ
Primary Predicate Device: EchoPAC Software Only / EchoPAC Plug-in (K220940),
Reference Device(s): EchoPAC Software Only / EchoPAC Plug-in (K200852),
EchoPAC Software Only / EchoPAC Plug-in (K170847),
Vivid E95, (K181685), Vivid iq (K2432260), Voluson Expert 22/20/18
(K231965), Logiq E10 (K173555)
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GE HealthCare
GE HealthCare
510(k) Premarket Notification Submission
| Classification Names: | Class II |
| --- | --- |
| Product Code(s): | QIH (primary), LLZ, IYN, IYO, ITX (secondary) |
| | Automated Radiological Image Processing Software, 21 CFR |
| | 892.2050, QIH |
| | Picture Archiving and Communications System, 21 CFR 892.2050, LLZ |
| | Ultrasonic Pulsed Doppler Imaging System. 21CFR 892.1550, 90-IYN; |
| | Ultrasonic Pulsed Echo Imaging System, 21CFR 892.1560, 90-IYO; |
| | 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.
## Technology:
EchoPAC Software Only / EchoPAC Plug-in employs the same fundamental scientific technology as its predicate device.
{6}
GE HealthCare
510(k) Premarket Notification Submission
# Determination of Substantial Equivalence:
## Comparison to Predicates:
The proposed EchoPAC Software Only / EchoPAC Plug-in is substantially equivalent to the predicated devices. The following is an overview of the differences between the proposed EchoPAC Software Only / EchoPAC Plug-in and the predicate EchoPAC Software Only / EchoPAC Plug-in (K220940).
## Indications for Use
The proposed EchoPAC Software Only / EchoPAC Plug-in and predicate EchoPAC Software Only / EchoPAC Plug-in (K220940) have identical clinical indications for use.
# Software Features/Functionality:
- 4D Auto LHQ, combining two predicate tools, 4D Auto LAQ and 4D Auto LVQ, both previously available in predicate EchoPAC Software Only / EchoPAC Plug-in (K220940).
- 4D Auto MVQ, available in predicate EchoPAC Software Only / EchoPAC Plug-in (K220940), is updated with 4D ColorFlow capabilities.
- 4D Auto TVQ, available in predicate EchoPAC Software Only / EchoPAC Plug-in (K220940), is updated with 4D ColorFlow capabilities.
- AI Cardiac Auto Doppler: AI based algorithm for auto-tracing of additional doppler spectrums added to the predicate Cardiac Auto Doppler available in the predicate EchoPAC Software Only / EchoPAC Plug-in (K220940), introducing additional heart valve related measurements compared to the predicate Spectrum Recognition algorithm available in EchoPAC Software Only / EchoPAC Plug-in (K220940).
- TSP Height: Tool used to visualize and measure the distance between the mitral anulus and the tip of the catheter during guided transeptal puncture procedures. Substantially equivalent to caliper distance measurement available in predicate EchoPAC Software Only / EchoPAC Plug-in (K220940).
- LAA Device compression: A manual measurement and calculation tool that allows manual caliper measurements of the width and the length of the Left Atrial Appendage, calculating compression in percentage on a chosen LAA-closure device size. This helps with LAA device sizing. Measurements are based on the regular caliper tool available in predicate EchoPAC Software Only / EchoPAC Plug-in (K220940).
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GE HealthCare
510(k) Premarket Notification Submission
- LAA Sizing Tool: Used for tracing the Left Atrial Appendage lumen and for measuring basic parameters within the traced area. Based on ROI tracing and area measurement tool in predicate EchoPAC Software Only / EchoPAC Plug-in (K220940).
- Clarity+ for 2D: Multiple SRI filter settings, ranging from zero to strong filtering made available to the user in real time with a Clarity+ control. Available with reference Vivid iq (K243620).
- Clarity+ for 4D: A real-time processing/filtering technique that utilizes volumetric data vs traditional 2D-based filtering. Available as V-SRI filter in reference Voluson Expert 22/20/18 (K231965)
- Soft Rendering: a volume (4D) visualization mode offered as an alternative to the standard volume rendering of the predicate EchoPAC Software Only / EchoPAC Plug-in (K220940).
- RadiantFlow: Applying shading to regular 2D color flow imaging. Same as Radiant Flow in reference Voluson Expert (K231965).
- Silhouette: Visualization of the boundaries between cavities and cardiac tissue structures and devices. A modification based on Flexi-Light in predicate EchoPAC Software Only / EchoPAC Plug-in (K220940) and HD Live Silhouette in reference Voluson Expert 22/20/18 (K231965).
- CT Fusion: Added 4D ColorFlow visualization to the predicate CT Fusion in predicate EchoPAC Software Only / EchoPAC Plug-in (K220940).
- 2-Click Crop: Modifications to the predicate Dual Crop workflow tool in predicate EchoPAC Software Only / EchoPAC Plug-in (K220940) now allowing up to 3 parallel crop planes.
- 2-Click Align: Functionality added to the predicate Flexi-Slice in EchoPAC Software Only / EchoPAC Plug-in (K220940), for Improved 4D workflow.
- Flexi-Slice: Modifications to predicate Flexi-Slice in predicate EchoPAC Software Only / EchoPAC Plug-in (K220940) allowing independent crop plane movement, a new 3x1 image layout, Dual Crop for opposite direction views, and enhanced slice interaction.
- PISA on DICOM images: Enables manual PISA measurement tool on DICOM data typed including 3rd party acquisition system.
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GE HealthCare
GE HealthCare
510(k) Premarket Notification Submission
- AFI LA on DICOM images: Enables AFI LA analysis on DICOM images including data from 3rd party acquisition systems.
- AFI RV on DICOM images: Enables AFI RV analysis on DICOM images including data from 3rd party acquisition systems.
- PDF Export to PACS server: (aka DICOM Encapsulated PDF) To allow storing PDF reports to a DICOM/PACS server, available with reference Vivid iq (K2432260).
- SW Based Licensing: Cloud-based licensing system, allowing customers to use shared virtual licenses which removes the need for the physical USB license dongles.
- Import from Local folder: simplifies the process of importing DICOM images.
# 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), 2024e
- IEC 62304 Edition 1.1 2015 - Medical device software - Software life cycle process
- IEC 62366-1: 2015 + A1:2020 – Medical Device-Part 1: Application of Usability.
The following quality assurance measures were 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)
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GE HealthCare
510(k) Premarket Notification Submission
# AI Auto Doppler Summary of Testing:
Summary test statistics and other results including acceptance criteria and information supporting the appropriateness of the characterized performance are provided below. The AI Auto Doppler feature utilizes 2 AI algorithms, Tissue Doppler and Doppler Trace, which are referenced below.
## Testing dataset:
- Testing dataset representative of standard clinical practices used to collect typical cardiac images in clinical environments were assessed by experts for accuracy.
- Tissue Doppler testing dataset included 4106 recordings from 805 individuals.
- Doppler Trace testing dataset included 3390 recordings from 1369 individuals.
## Distribution of testing dataset (Demographics and Ultrasound System):
- Gender: Male and Female
- Age: Adult and Pediatric
- Ethnicity/Country: USA (several locations), Australia, France, Spain, Norway, Italy, Germany, Thailand, Philippines
- Ultrasound Console(s): Vivid E80, Vivid E95, Vivid E9, Vivid IQ, Vivid S70, Vivid T9, Vivid Q, Vivid Pioneer
- Probe(s): 6Sc, 6Vc, 3Sc, 4Vc, 4V, M5S, 6S, M4S, M5Sc, M5S, 12S, 9VT, 6VT, 10T
## Information about clinical subgroups and confounders present in the testing dataset:
- The algorithm performance was verified across a range of confounders: Ethnicity/Country (USA - several locations, Australia, France, Spain, Norway, Italy, Germany, Thailand, Philippines), wide range of Vivid consoles, wide range of probes.
## Performance demonstrated on the verification (testing) dataset:
- The verification requirement included a step to check for a feasibility score of more than 95%, as well as an expected accuracy threshold calculated as the mean absolute difference in percentage for each measured parameter.
- The verification requirement included a step to check mean percent absolute error across all cardiac cycles against a threshold. All clinical parameters, as performed by AI Cardiac Auto Doppler without user edits passed this check. These results indicate that observed accuracy of each of the individual clinical parameters met the acceptance criteria.
- The performance of AI Cardiac Doppler algorithm was evaluated across two BMI groups (<25 and ≥25) using a subset of the Vivid Pioneer dataset containing BMI data (41 patients, 433 Doppler measurements). Manual Doppler measurements, reviewed by clinical experts, served as reference values for assessing the AI results.
Performance was evaluated separately for tissue and flow Doppler parameters using a predefined metric quantifying agreement between manual and AI-derived peak velocities. For tissue Doppler, the mean performance metric was -0.002 (SD = 0.077) for BMI < 25 and -
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GE HealthCare
510(k) Premarket Notification Submission
0.006 (SD = 0.081) for BMI ≥ 25. For flow Doppler, the means were 0.021 (SD = 0.073) and 0.003 (SD = 0.057), respectively.
The number of total samples, if different from above, and the relationship between the two:
- Tissue Doppler development dataset included 1482 recordings from 4 unique clinical sites (not used for testing dataset).
- Doppler Trace development dataset included 2070 recordings from 4 unique clinical sites (not used for testing dataset).
Information about equipment and protocols used to collect images:
- Development dataset included images obtained with the M5Sc, M5S, 4Vc, 4V, M4S, 6S, 12S, 6Vc, 6VT probes on a variety of Vivid cardiovascular ultrasound systems (Vivid E80, Vivid E95, Vivid E9, Vivid 7, Vivid S70N)
Information about how the reference standard was derived from the dataset (i.e. the "truthing" process): Ground truth annotations of the development and verification datasets were obtained as follows:
- In all Training, Validation, and Testing datasets, annotators performed manual measurements after assessing Doppler signal quality and ECG signal quality of curated images.
- Two cardiologists performed the annotations following US ASE based annotation guidelines.
- A review panel of five clinical experts provided feedback on the annotations which were corrected (as needed) until a consensus agreement was achieved between the annotators and reviewers.
Description of how independence of test data from training data was ensured:
- The testing dataset is selected from independent clinical research institutions that have never been used for training and validation (tuning), ensuring the elimination of potential data leakage.
## 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:
Based on the design similarities, conformance to recognized performance standards, and performance testing, GE HealthCare considers the proposed EchoPAC Software Only / EchoPAC Plug-in to be as safe, effective, and performs in a substantially equivalent manner as the predicate EchoPAC Software Only / EchoPAC Plug-in (K220940).
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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.