RT Book, Section A1 Manrai, Arjun K. A1 Kohane, Isaac S. A2 Loscalzo, Joseph A2 Fauci, Anthony A2 Kasper, Dennis A2 Hauser, Stephen A2 Longo, Dan A2 Jameson, J. Larry SR Print(0) ID 1190513858 T1 Machine Learning and Augmented Intelligence in Clinical Medicine T2 Harrison's Principles of Internal Medicine, 21e YR 2022 FD 2022 PB McGraw-Hill Education PP New York, NY SN 9781264268504 LK accessmedicine.mhmedical.com/content.aspx?aid=1190513858 RD 2024/03/28 AB Machine learning has reshaped our consumer lives, with self-driving vehicles, conversant digital assistants, and machine translation services so ubiquitous that they are at risk of not being considered particularly intelligent for much longer. Will the algorithms underlying these technologies similarly transform the art and practice of medicine? There is hope that modern machine-learning techniques—especially the resurgence of artificial neural networks in deep learning—will foster a sea change in clinical practice that augments both the sensory and diagnostic powers of physicians while, perhaps paradoxically, freeing physicians to spend more time with their patients by performing laborious tasks.