AI · ECHOCARDIOGRAPHY · ACCESS
Cardiac assessment
closer to care
EasyEF uses AI to assess cardiac contraction from smartphone recordings of an ultrasound display, giving clinicians additional information for care decisions.
Developed around clinical needs · Informed by healthcare networks

01 / FROM IMAGE TO INSIGHT
From images to insight for care teams
Use a smartphone with an existing ultrasound system, connecting analysis to the work of care teams.
Record the display
Trained personnel record the ultrasound display with a smartphone, capturing a parasternal long-axis (PLAX) view of the heart.
Send for analysis
Send the video to cloud-based AI to support assessment of left ventricular function.
Interpret in context
Clinicians interpret the results alongside clinical information to inform care decisions.
INSIDE EASYEF
A closer look at EasyEF
From framing a recording to presenting a result for clinical review, these screens show the app workflow used in our demonstrations.

Record and review before sending
Users frame the ultrasound image and review the clip before sending it. Image quality is an essential starting point for assessment.

A result category for clinical review
This example illustrates the result display. Interpretation and care decisions require a clinician and the wider clinical context.
Screens from the version presented in March 2026 may differ from the current app. Gauge numbers mark category thresholds, not a directly measured EF value. Timings in the guide are illustrative, not a processing-time guarantee.
Image source and further reading
EasyEF story and demonstrations at the 17th Cardiac Network Forum

02 / LEARNING TOGETHER
From shared sessions
to questions from practice
At Khon Kaen on 22 August 2025, the team joined discussions and small-group activities with healthcare personnel. Research and engagement with care teams both inform our approach to image capture and result interpretation.
03 / IN THE FIELD
Real stories from the field
We engage with professionals across four health regions through presentations, discussions, and small-group learning, keeping development close to care teams.
View all field records →
01 / REGION 14 August 2025
Chiang Rai Prachanukroh Hospital ↗
02 / REGION 67 August 2025
Chonburi Hospital ↗
03 / REGION 722 August 2025
Khon Kaen Hospital ↗
04 / REGION 1129 September 2025
Surat Thani Hospital ↗
Field activity records and photographs ·Network activities in 2025 · Multisite clinical evaluation is a separate planned workstream.
04 / EVIDENCE, IN CONTEXT
Evidence means more
with context
From clip testing to a hospital study, we use the findings to guide what comes next, particularly improvements in intermediate cardiac-function categories.
AI classification of cardiac function from ultrasound clips
Three-category classification: 177 correct results out of 184 test clips.
Comparison with a cardiologist in 218 participants
Overall accuracy in the Rayong cohort · Peer-review status unverified.
The studies use different data units and designs. Their headline figures should not be interpreted as a direct performance trend.

GPO IGNITE / 2025
An innovation milestone
GPO Ignite Program 2025 marks a milestone for Echo AI / EasyEF in advancing research toward a product and further health-innovation development.
Competitions and awards ↗05 / EXPLORE EASYEF
Explore our story
Development, study findings and field engagement
Explore the ideas, lessons, and next steps behind EasyEF
Clinical context, workflow, technology and evidence
Explore the ideas, lessons, and next steps behind EasyEF
BUILD THE NEXT CHAPTER
Help shape the next chapter
of cardiac assessment
Start with your organization’s question, then explore research, hospital evaluation, or technology development to address it.