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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
VA · VA-24-4607 · record R2273

EPIQ Series Diagnostic Ultrasound System; Affiniti Series Diagnostic Ultrasound System

Department of Veterans Affairs · VHA: Veterans Health Administration

Overview

Development stage
DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
High-impact designation
High-impactSource: a) High-impact
Impact justification
Not reported
Start date
Not reported
Withheld from public reporting
Not reported

Mission

Topic area
Health and Medical
Operational functions
Clinical and medical Derived by keyword rules; see methodology

Problem the AI is intended to solve

The R-Trigger algorithm software feature on Philips EPIQ and Affiniti Ultrasound System is intended to support detection of R-wave peak (R-trigger) as an input to certain transthoracic echo (TTE) clinical applications, initially including AutoStrain LV, AutoEF, 2D Auto LV (collectively referred to as “AutoStrain”), and AutoMeasure applications. The R-trigger algorithm is expected to be implemented as workflow enhancement for transthoracic clinical applications on EPIQ and Affiniti Ultrasound Systems in the VM13 software release. The Auto-Measure and AutoStrain features, cleared on Philips EPIQ and Affiniti systems (K211597, K190913 resp.) support users during B-mode (2D), CW-, PW- and TDI-Doppler measurements by automating some of the measurements needed to complete a routine transthoracic echo (TTE) exam for adult patients. The current AutoMeasure and AutoStrain applications require input from physio signal (ECG), using electrodes, because the modules and their detectors work on single cardiac cycles, starting and ending with the End Diastole (ED), or more precisely, with delimiting R-trigger events as a good approximation. Determining the R-triggers is currently done on the EPIQ and Affiniti Ultrasound Systems by a dedicated physio board. To enable clinical users to be able to use AutoMeasure and AutoStrain application without the R-trigger (ECG based) input, R-trigger feature (non-ECG-based) has been developed.

Expected benefits

Accelerate ultrasound workflows: the R-trigger algorithm is expected to be implemented as workflow enhancement for transthoracic clinical applications on EPIQ and Affiniti Ultrasound Systems in the VM13 software release. The Auto-Measure and AutoStrain features, cleared on Philips EPIQ and Affiniti systems (K211597, K190913 resp.) support users during B-mode (2D), CW-, PW- and TDI-Doppler measurements by automating some of the measurements needed to complete a routine transthoracic echo (TTE) exam for adult patients.

System outputs

Automates some routine ultrasound measurements. The intended use of EPIQ Ultrasound Diagnostic System is diagnostic ultrasound imaging and fluid flow analysis of the human body, with the following indications for use: Abdominal, Cardiac Adult, Cardiac other (Fetal), Cardiac Pediatric, Cerebral Vascular, Cephalic (Adult), Cephalic (Neonatal), Fetal/Obstetric, Gynecological, Intraoperative (Vascular), Intraoperative (Cardiac), intra-luminal, intra-cardiac echo, Musculoskeletal (Conventional), Musculoskeletal (Superficial), Ophthalmic, Other: Urology, Pediatric, Peripheral Vessel, Small Organ (Breast, Thyroid, Testicle), Transesophageal (Cardiac), Transrectal, Transvaginal, Lung. Modes of operation include: B, M, PW Doppler, CW Doppler, Color Doppler, Color M Doppler, Power Doppler, and Harmonic Imaging.

Technology

AI classification
Computer visionSource: Computer Vision: AI that processes and interprets visual data (e.g., images and videos).
System name(s)
Not reported
Custom-developed code
No
Public source code
Not reported

Sourcing

How it was built
Purchased from vendorSource: a) Purchased from a vendor
Vendor (as reported)
Not reported
Vendors (standardized)
None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII
Not reported
Privacy Impact Assessment
Not reported
Authorization to Operate
Not reported
Demographic features
Not reported
Training and evaluation data
Not reported
Federal Data Catalog
Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported
AI impact assessmentNo answer reported
Independent reviewNo answer reported
Ongoing monitoringNo answer reported
Operator trainingNo answer reported
Fail-safeNo answer reported
Appeal processNo answer reported
User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported