Clin2
NCT07599956Possibly a fitNot yet recruiting

AI Tool Training for Rheumatic Heart Disease Screening

Rheumatic Heart Disease

Part of Heart & circulation, Infections clinical trials.

This trial tests a new artificial intelligence system designed to help nurses at clinics more accurately and quickly screen for early rheumatic heart disease—a serious heart condition that can develop after untreated strep infections. The study aims to improve detection rates and help more patients get care they need.

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

Phase
N/A
Enrollment
62 people
Ages
Any age
Study type
Interventional

Who can take part

  • You work as a nurse screener at a participating ADUNU facility (a clinic or health center in the ADUNU program)
  • You have a designated nursing screener role in the ADUNU program
  • You are willing to learn and use the new AI screening tool as part of your regular work
  • No other restrictions—the trial welcomes all eligible staff who meet the above criteria

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.

NCT07351656Recruiting
AI heart checks for young adults, adults, and pregnant women

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.

Rochester, Minnesota
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
NCT07529860Not yet recruiting
AI tool to detect heart amyloidosis using ultrasound

This trial tests whether artificial intelligence can help doctors spot cardiac amyloidosis (a protein buildup in the heart) using heart ultrasound images. If you have signs of a thickened heart wall and possible amyloidosis, this study could help confirm your diagnosis faster and more accurately.

NCT07021599Not yet recruiting
AI versus sonographer for heart failure ultrasound analysis

This trial compares artificial intelligence (AI) to a trained sonographer for analyzing heart ultrasound images in people with heart failure. The goal is to see if AI can provide accurate reports faster or more consistently.

Hong Kong, Shatin
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
NCT07486271Recruiting
AI in Aortic Regurgitation trial

This trial uses artificial intelligence to help measure aortic regurgitation, a heart valve problem. It aims to improve how doctors assess and treat this condition.

Hong Kong, New Territories

Hear when a new Rheumatic Heart Disease trial opens

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