株式会社極東書店トップ商品一覧Generative Intelligence in Healthcare: Transforming Patient Care with AI Creativity.

商品詳細

Generative Intelligence in Healthcare: Transforming Patient Care with AI Creativity.

Generative Intelligence in Healthcare: Transforming Patient Care with AI Creativity.

・ISBN 978-1-032-88740-1 hard GB£ 171.99

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お気に入り
電子版あり 大学・学術機関向け電子ブック(eBook)ISBN 9781003539483
著者・編者Gupta, Sakshi / Gupta, Umesh / Sharma, Moolchand / Malik, Kamal (eds.),
シリーズ (Artificial Intelligence for Sustainable Engineering and Management)
出版社 (CRC Press, UK)
出版年月2025
ページ数370 pp.
言語ENG
ニュース番号<A03-77831>

解説

This book explores the intersection of artificial intelligence and healthcare with a focus on generative intelligence. The book will introduce the concept of generative intelligence and its transformative potential in patient care, showcasing applications that go beyond conventional AI approaches.

Generative Intelligence in Healthcare: Transforming Patient Care with AI Creativity delves into the use of generative models for personalized medicine, data analytics, and predictive modelling, providing real-world examples of how AI creativity can revolutionize treatment strategies and diagnostic processes. It focuses on the origin and basics of generative AI, generative AI models, and possible areas in healthcare where generative AI can work. It discusses how generative AI model will help healthcare providers automatically generate prescriptions, discharge summaries, and patient conditions. The unique strength of this book lies in its comprehensive examination of ethical considerations and regulatory frameworks, ensuring a responsible and transparent integration of generative intelligence in healthcare. By addressing current challenges and envisioning future directions, this book serves as a valuable resource for healthcare professionals, researchers, and policymakers seeking to harness the full potential of AI creativity to enhance patient outcomes.

The book is written for graduate students, researchers, and professionals in biomedical engineering, electrical engineering, signal process engineering, biomedical imaging, and computer science.