The Current and Future State of AI Interpretation of Medical Images | NEJM Skip to main content
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The development of robust artificial intelligence models for echocardiography has been
limited by the availability of annotated clinical data. Here, to address this challenge and …

Bias in health care has been well documented and results in disparate and worsened
outcomes for at-risk groups. Medical imaging plays a critical role in facilitating patient …

Abstract Background and Objective Aortic valve calcification (AVC) is a strong predictor of
adverse cardiovascular events and is correlated with the degree of coronary artery stenosis …

OBJECTIVE: Coronary artery disease (CAD) is a major global cause of death, greatly
affecting life expectancy and quality of life for populations. With the advent of artificial …

An echocardiogram is a sophisticated ultrasound imaging technique employed to diagnose
heart conditions. The transthoracic echocardiogram, one of the most prevalent types, is …

Cardiovascular disease (CVD), particularly coronary heart disease (CHD), is the leading
cause of death in the US, with a high economic impact. Coronary artery calcium (CAC) is a …

Atrial fibrillation (AF) often escapes detection, given its frequent paroxysmal and
asymptomatic presentation. Deep learning of transthoracic echocardiograms (TTEs), which …

Objectives Utilising readily available clinical variables, we aimed to develop and validate a
novel machine learning (ML) model to predict severe coronary calcification, and further …

Coronary Heart Disease (CHD) is reported to be one of the world's deadliest diseases. Early
prediction or detection and diagnosis of the disease can help prevent, cure, and reduce the …