Key result
Clinicians were twice as likely to correctly diagnose low ejection fraction when they followed the advice of an artificial intelligence tool.
Answers are grounded in this paper and cite their sources.
Artificial intelligence and clinical decision support systems show significant potential to improve the early detection and diagnostic accuracy of heart failure.
No abstract yet. The journal hasn't published one we can show.
No takes yet. Share an insight, caveat, or question.
Pooja Chowdary Yerram (2023) conducted a letter in Heart Failure. Artificial Intelligence (AI) vs. Standard clinical care / non-heart failure specialists was evaluated. Clinicians were twice as likely to correctly diagnose low ejection fraction when they followed the advice of an artificial intelligence tool.
Synapse has enriched 10 related papers. Consider them for comparative context: