Healthcare Transformation using Artificial Intelligence
Autor Robert JT Morrisen Limba Engleză Paperback – 17 iul 2025
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.
- Chronicles the healthcare system's problems, along with the most promising transformational AI techniques that can be used
- Describes data science and AI technologies and why or when they work, including examples and references
- Gives simple and understandable descriptions, in each application area, of how the technologies actually work
- Includes examples and case studies of applying AI to achieve better patient outcomes while lowering costs
Preț: 733.55 lei
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129.82€ • 152.25$ • 113.83£
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Specificații
ISBN-13: 9780443289699
ISBN-10: 0443289697
Pagini: 260
Dimensiuni: 191 x 235 mm
Greutate: 0.59 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0443289697
Pagini: 260
Dimensiuni: 191 x 235 mm
Greutate: 0.59 kg
Editura: ELSEVIER SCIENCE
Cuprins
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.
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.