Deep Medicine
How Artificial Intelligence Can Make Healthcare Human Again
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5.0 • 1件の評価
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- ¥2,600
発行者による作品情報
One of America's top doctors reveals how AI will empower physicians and revolutionize patient care.
“A compulsively readable, elegantly written, important account, Deep Medicine will fundamentally change the way you view the future of medical technologies and their impact on our lives.” -Siddhartha Mukherjee, author of The Emperor of All Maladies
Medicine has become inhuman, to disastrous effect. The doctor-patient relationship—the heart of medicine—is broken: doctors are too distracted and overwhelmed to truly connect with their patients, and medical errors and misdiagnoses abound.
In Deep Medicine, leading physician Eric Topol reveals how artificial intelligence can help. AI has the potential to transform everything doctors do, from notetaking and medical scans to diagnosis and treatment, greatly cutting down the cost of medicine and reducing human mortality. By freeing physicians from the tasks that interfere with human connection, AI will create space for the real healing that takes place between a doctor who can listen and a patient who needs to be heard.
Innovative, provocative, and hopeful, Deep Medicine shows us how the awesome power of AI can make medicine better, for all the humans involved.
PUBLISHERS WEEKLY
Cardiologist Topol (The Patient Will See You Now) looks at how the use of artificial intelligence is changing medicine in a sometimes challenging but enlightening treatise. Central to his discussion is the conviction that the practice of medicine is in need of a paradigm shift toward doctors being better equipped to understand and empathize with their patients. Arguing that artificial intelligence could help achieve this goal, Topol explains how AI is already used in various medical specialties. He underscores its effectiveness in pattern reading, the major task of pathologists, radiologists, and dermatologists, as well as less developed uses in the mental health and surgical fields. These descriptions are amply supported with studies and graphs, though lay readers may find some of these difficult to understand. Topol also explores AI's potential effects on health provider systems, apps that monitor patient biometrics, and the collection of health data. He concludes with an impassioned plea for doctors to use the time freed up by AI advances to get to know their patients better as people, and not just medical conundrums. Topol's tour through AI's present and future health applications will be of greatest interest to medical professionals, but anyone with an avid curiosity about the future of medicine will find this worthwhile.
