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DELINEATE-Prospective

Deep Learning for Echo Analysis, Tracking, and Evaluation Prospective Evaluation (DELINEATE-Prospective)

Who can join

Ages 18 and older · All sexes

Inclusion Criteria:

* Attending cardiologist employed by Columbia University, ColumbiaDoctors, or NewYork Presbyterian Hospital who reads transthoracic echocardiograms in the Columbia echocardiography laboratory
* Provided informed consent to take part in the questionnaires or pivotal study

Exclusion Criteria:

* Physician in training (cardiology fellow or advanced imaging fellow)

About the study

Heart disease is the leading cause of death in the United States, and echocardiography (or "echo") is the most common way doctors look at the heart. Echo is safe, painless, and can detect major heart problems, including weak heart pumping and valve disease.

Valve disease, especially aortic stenosis (narrowing) and mitral regurgitation (leakage), is common in older adults but often goes undiagnosed. While echo is the main tool for finding valve problems, it takes time, requires expert training, and results can vary between readers.

Recent advances in artificial intelligence (AI), especially deep learning (DL), have shown promise in automatically analyzing heart images. However, past research hasn't fully tackled key echo techniques-like color Doppler and spectral Doppler-that are crucial for measuring how blood moves through heart valves. AI tools also face challenges in being used in everyday medical practice because of workflow issues, lack of real-world testing, and concerns about how the algorithms make decisions.

At Columbia University Irving Medical Center, researchers have built a large database of heart tests over the last six years and developed AI programs to analyze echocardiograms. The current study will test whether providing AI analysis to cardiologists in real time during echo reading can make the process faster and more consistent.

Sponsor: Columbia University · Participants: 50 · Started: Apr 15, 2026

Contact the study team

• Heidi S Hartman, MD · Phone: 212-305-3068
• Michelle Castillo, BS · Phone: 212-305-9161

Official record on ClinicalTrials.gov — NCT07197736

Locations in the U.S.

Conditions

• Aortic Valve Disease
• Mitral Valve Insufficiency
• Aortic Valve Stenosis
• Heart Valve Diseases
• Tricuspid Valve Insufficiency
• Aortic Valve Insufficiency
• Cardiovascular Disease

From ClinicalTrials.gov, data retrieved Sep 29, 2026. Each study sets its own eligibility; the study team decides who can join.