Using AI to find early rheumatic heart disease

This study uses artificial intelligence (AI) to look at heart signals (electrocardiography or ECG) and ultrasound images of the heart to check for heart disease. It aims to better understand heart health in different groups of people.

This study uses an AI tool to look at your ECG (a simple heart test) to help find early signs of atrial fibrillation (an irregular heartbeat) or structural heart disease (changes in heart structure). It aims to see if the AI can help doctors catch these conditions sooner, even in people who don't yet have symptoms.

This trial tests whether an artificial intelligence (AI) program can help doctors hear and spot heart problems in children, compared to listening with a stethoscope alone. It takes place in schools in Qinghai Province, and all children get a heart ultrasound (echocardiogram) to check for congenital heart disease.

This study uses artificial intelligence (AI) to look at your heart tests (ECG and echo) and find people who might have a specific heart muscle disease called ATTR-CM. The goal is to catch it earlier so treatment can start sooner.

This study at Mayo Clinic is testing an artificial intelligence (AI) tool that analyzes echocardiograms (ultrasound of the heart) to find early signs of four types of heart muscle disease. If the AI flags a high-risk pattern, doctors can learn whether acting on that alert helps catch the condition sooner.

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.