Clin2
NCT07010952Likely a fitNot yet recruiting

Using AI to analyze heart ultrasounds in heart failure

Heart Failure With Preserved Ejection Fraction

Part of Heart & circulation clinical trials.

This study uses advanced AI to analyze heart ultrasound images from patients with heart failure. It aims to find better ways to measure heart function, which could help tailor treatments. If you were hospitalized for heart failure, your existing ultrasound data might be used to improve care for others.

Summary written for real people, not researchers, by Clin2.

Phase
N/A
Enrollment
3,000 people
Ages
18 years and older
Study type
Observational

Who can take part

  • You are at least 18 years old.
  • You were admitted to the hospital for heart failure between January 1, 2017 and April 30, 2024.
  • You had a heart ultrasound (echocardiogram) within 48 hours of being admitted, and the images are good quality.
  • Your heart failure type is either HFpEF (the heart pumps normally but is stiff) or HFrEF (the heart does not pump as well as it should).
  • You do not have significant heart valve disease, congenital heart disease, a thickened heart muscle, restrictive or constrictive heart disease, a prior heart transplant or LVAD, or are not pregnant.
  • You are not currently in another interventional clinical trial that could interfere with this study.

View the official record on ClinicalTrials.gov

Quick eligibility check

Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.

Similar studies

Other trials that look related to this one.

NCT07701369Recruiting
AI-assisted heart ultrasound for older adults with heart failure

This trial tests whether artificial intelligence can help interpret heart ultrasounds in older patients with acute heart failure. It aims to make echocardiograms more accurate and easier to obtain in geriatric care.

Paris
NCT06444425Enrolling by invitation
AI test for heart function using ultrasound

This trial uses artificial intelligence to analyze heart ultrasound images. It aims to see if AI can detect heart function better than standard methods. You may be eligible if you are a cardiology patient having an ultrasound and can return for extra blood pressure checks.

Yiwu, Zhejiang
NCT07009639Recruiting
AI-powered heart ultrasound study

This study uses artificial intelligence to analyze heart ultrasound images from patients hospitalized with serious heart conditions. It aims to improve how doctors predict patient outcomes.

Cosenza
NCT07133516Recruiting
AI heart ultrasound study for adults ages 18-80

This study uses artificial intelligence to help evaluate heart ultrasounds. It is testing whether AI can accurately measure heart function in adults with various heart conditions, such as coronary disease, valve problems, high blood pressure, atrial fibrillation, heart failure, or cardiomyopathy.

Huainan, Anhui
NCT05558605Recruiting
AI ultrasound guidance for heart risk management

This trial tests whether using an artificial-intelligence (AI) tool during a heart ultrasound can help guide care for people at risk for heart problems. You might benefit if you have symptoms with exercise or heart risk factors, but you do not already have known heart failure or major heart disease.

Alice Springs, Northern Territory
NCT07057466Recruiting
Checking heart scans with artificial intelligence

This study uses AI to read electrocardiograms (heart rhythm tests) to see if they can detect certain heart structure problems earlier. If you are already scheduled for an echocardiogram (heart ultrasound), your data may be used to help improve detection.

Bristol

Hear when a new Heart Failure With Preserved Ejection Fraction trial opens

We’ll email you when one opens — at most once a week, no account needed, unsubscribe anytime.