Healthcare Transformation using Artificial Intelligence

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Healthcare Transformation using Artificial Intelligence

Morris, Robert JT

ウェブストア価格 ¥32,524（本体¥29,568）
Academic Press Inc（2025/07発売）
外貨定価 US$ 150.00
ポイント 295pt

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製本 Paperback:紙装版/ペーパーバック版／ページ数 260 p.
言語 ENG
商品コード 9780443289699
DDC分類 362.10285

Full Description

Healthcare Transformation Using Artificial Intelligence provides insights into executing healthcare transformation through AI, and deploying health technology at scale. It focuses on improving patient outcomes while managing costs, highlighting selected use of AI and contrasting it with a "tech push" approach. Through interactions with leading clinicians and healthcare administrators, this book presents the most urgent challenges facing patients, such as lifestyle, self-empowerment, adherence, knowledge, and behavior change, and clinicians, including information overload, time scarcity, rapidly changing guidelines, care quality, and administrative burdens.

The book explains recent AI breakthroughs and critically evaluates their promise, showing how AI can be successfully deployed to address these challenges. Real deployments, scaling, and evidence-gathering illustrate the best bets for AI in healthcare. Innovation is moving fast, but patient safety, clinical trials, and regulatory approvals ensure appropriate adoption. This resource is valuable for health professionals, scientists, researchers, practitioners, and students wishing to expand their knowledge in this field.

1. Introduction
2. The healthcare enterprise and its most pressing current clinical and operational challenges
3. The challenges of the healthcare business model, and how AI could help:
4. The greatest burden of disease and cost-drivers: chronic diseases and their complications. How AI could result in a leap
5. Use-case Area 1 - Medical Imaging: the vanguard of AI in Healthcare
6. Use-case Area 2 - Lifestyle changes: the biggest lever
7. Use-case Area 3 - Mental Health as a compelling area for hybrid AI approaches:
8. Use-case Area 4 - Aging:
9. Generative AI, its promises and perils, and why we are just at the beginning:
10. The key to successful AI breakthroughs and scalable deployment: Data
11. How AI should be delivered and barriers to adoption:
12. Safety, Regulation and Ethics
13. How AI can transform care in emerging economies:
14. Conclusions Appendix: A basic tutorial and set of references on AI techniques.