Clin2
NCT07843004Possibly a fitRecruiting

AI screening for undiagnosed heart valve disease

Structural Heart AbnormalityValve Heart DiseaseHeart DiseasesCardiovascular Diseases

Part of Heart & circulation clinical trials.

This study tests whether an artificial intelligence (AI) tool can help find people who have undiagnosed heart valve problems by analyzing their electrocardiogram (ECG) results. If you visit the emergency room and have an ECG, the AI might help identify if you need further heart tests.

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

Phase
N/A
Enrollment
4,000 people
Ages
40 years and older
Study type
Interventional

Who can take part

  • You are 40 years old or older.
  • You had an ECG when you came to the emergency room.
  • You have not had an echocardiogram (heart ultrasound) in the past 2 years.
  • You have never been diagnosed with structural heart disease (a problem with the heart's valves or walls).

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.

NCT06511505Recruiting
Testing AI to find hidden heart conditions from ECGs

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.

Chicago, Illinois
NCT07856472Recruiting
AI heart test study for heart disease diagnosis

This study uses artificial intelligence to analyze heart tests (ECGs) to help diagnose and predict outcomes for people with heart disease. It may lead to better and faster detection of heart conditions.

Incheon, Incheon
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
NCT07405866Not yet recruiting
Using ECGio to check heart health in routine care

This study looks at whether a new tool called ECGio can help doctors spot heart conditions during routine checkups. If you have common risk factors like high blood pressure or diabetes, this might help catch problems earlier.

Bensalem, Pennsylvania
NCT07398950Enrolling by invitation
AI screening for a heart condition called ATTR-CM

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.

New Haven, Connecticut
NCT07449130Recruiting
AI screening for valve disease using chest CT scans

This study uses a computer AI to look at routine chest CT scans and find people who might have valvular heart disease (problems with the heart's valves). It aims to see if AI can help catch these issues early, so you can get the right care sooner.

Wuhan, Hubei

Hear when a new Structural Heart Abnormality trial opens

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