The Current and Future State of AI Interpretation of Medical Images | New England Journal of
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Opportunistic CT screening leverages robust imaging data embedded within abdominal and
thoracic scans that are generally unrelated to the specific clinical indication and have …

Abstract Machine learning (ML) refers to computational algorithms that iteratively improve
their ability to recognize patterns in data. The digitization of our healthcare infrastructure is …

Background: Coronary artery calcium (CAC) can be identified on nongated chest computed
tomography (CT) scans, but this finding is not consistently incorporated into care. A deep …

Recent advances in artificial intelligence (AI) for cardiac computed tomography (CT) have
shown great potential in enhancing diagnosis and prognosis prediction in patients with …

evolved separately and have never worked together well. Thus, it is not surprising that
radiologists often work with disjointed system integrations and clashing user interfaces …

Background Coronary artery calcium (CAC) is a strong predictor of cardiovascular events
across all racial and ethnic groups. CAC can be quantified on nonelectrocardiography …

Multiple applications for machine learning and artificial intelligence (AI) in cardiovascular
imaging are being proposed and developed. However, the processes involved in …

This article presents some of the most important developments in the field of digital medicine
that have appeared over the last 12 months and are related to cardiovascular medicine. The …

AF is the most common clinically relevant cardiac arrhythmia associated with multiple
comorbidities, cardiovascular complications (eg stroke) and increased mortality. As artificial …