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Study identifier: NCT07701369 Synced from ClinicalTrials.gov · July 28, 2026
● Recruiting

Relevance of Artificial Intelligence-Assisted Echocardiography for Left Ventricular Ejection Fraction Assessment in Geriatric Patients

Condition: Heart Failure  ·  Sponsor: Gérond'if

PhaseNA
Planned participants130
Who can joinAll sexes, 75 Years to no upper limit
Healthy volunteersNo

About this study

Heart failure (HF) is the leading cause of hospitalization among adults aged 80 years and older and represents a major diagnostic challenge in geriatric medicine due to frequently atypical clinical presentations and the presence of multiple comorbidities. Although transthoracic echocardiography (TTE) with measurement of left ventricular ejection fraction (LVEF) remains the gold standard for cardiac functional assessment, access to echocardiography is often limited in geriatric wards. Recent advances in artificial intelligence (AI) have enabled the development of portable ultrasound devices and automated image analysis software capable of providing reliable and reproducible LVEF measurements. AI-assisted automated LVEF assessment (AutoEF-AI) may therefore represent a valuable alternative to conventional echocardiography for the cardiac evaluation of older patients with heart failure.

This description comes directly from the study's public registry record.

Talk to the study team

Isabelle DUFOUR  ·  +33 (0) 185781011  ·  isabelle.dufour@gerondif.org

Prisca LUCAS, PhD MPH  ·  +33 (0)185737323  ·  prisca.lucas@gerondif.org

Always discuss trial participation with your own doctor first.

Locations (1)

Broca HospitalParis, FranceRecruiting

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Source record: clinicaltrials.gov/study/NCT07701369