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AI and Cancer Care

AI and Cancer Care : When Machines Meet Modern Medicine. AIとがんのケア

・ISBN 978-1-4214-5562-4 hard US$ 34.95

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お気に入り
著者・編者Nabhan, Chadi,
出版社(Johns Hopkins U. Pr., US)
出版年月2027.01
ページ数328 pp.
言語ENG
ニュース番号<773-420>

解説

A riveting account of how the intersection of cutting-edge technology, artificial intelligence, and human-centered medicine is redefining the fight against cancer.

Modern medicine is increasingly implementing artificial intelligence in patient care, yet few areas feel its impact immediately or personally as cancer care. In AI and Cancer Care, acclaimed oncologist and physician Chadi Nabhan, MD, MBA, provides a lively and authoritative guide to how AI is reshaping the way cancer is detected, diagnosed, treated, and managed, and what these changes mean for patients, caregivers, clinicians, and health systems.

Through timely research and storytelling, Dr. Nabhan provides easy explanations of core AI concepts such as machine learning, deep learning, large language models, and generative AI, emphasizing how these tools function in real clinical settings. Dr. Nabhan explains how AI is already influencing cancer screening, imaging, pathology, drug development, precision oncology, clinical trials, regulatory decision-making, and care delivery. Enriched by patient stories, and expert interviews, the book tackles the urgent ethical questions of our time: How do we mitigate algorithmic bias? What does transparency look like in a digital diagnosis? And how do we ensure that technological progress never eclipses human judgment? Rather than presenting AI as a replacement for medical professionals, Nabhan frames it as a set of tools that can support better decisions, reduce inefficiencies, and improve communication across the cancer care continuum.

By addressing what AI can and cannot do today, while considering future directions, AI and Cancer Care offers readers an introduction to understand a rapidly evolving field that is increasingly impacting cancer outcomes. It is an essential resource for anyone with interest in the role of innovation and artificial intelligence in one of medicine's most complex and consequential domains.