American Heart Association’s first scientific statement on artificial intelligence (AI) underscores value of technology’s new clinical insights on CVD patient outcomes
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Artificial intelligence (AI) may transform cardiovascular medicine. For now, though, many challenges remain, and few AI tools have been proven to improve care, according to a new American Heart Association scientific statement published today in Circulation, the Association's flagship, peer-reviewed journal.
A recent study co-authored by Dr. Matthew Segar, a third-year cardiovascular disease fellow at The Texas Heart Institute and led by his research and residency mentor, University of Texas Southwestern Medical Center's Dr. Ambarish Pandey, utilized a machine learning-based approach to identify, understand, and predict diuretic responsiveness in patients with acute decompensated heart failure (ADHF).