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Enhancing the diagnosis of functionally relevant coronary artery disease with machine learning

Medicine and Health

Enhancing the diagnosis of functionally relevant coronary artery disease with machine learning

C. Bock, J. E. Walter, et al.

This paper reveals how machine learning (ML) can enhance the diagnosis of functionally relevant coronary artery disease (fCAD), outperforming cardiologists and potentially reducing unnecessary imaging procedures. The innovative approaches presented by Christian Bock, Joan Elias Walter, Bastian Rieck, and colleagues could shape the future of cardiac healthcare.

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