AI for Healthcare

The Essential Guide to Understanding the AI Revolution in Healthcare
1. Auflage 2026
ISBN: 978-1-041-34860-3
Verlag: Taylor & Francis

Buch, Englisch, 280 Seiten, Format (B × H): 178 mm x 254 mm

AI for Healthcare provides a comprehensive, evidence-based guide to how artificial intelligence is transforming medicine. Structured in three parts, the book first demystifies core technologies (machine learning, deep learning, large language models, and AI agents) through concrete clinical examples.

It then examines real-world applications already deployed in hospitals worldwide, including diagnostic imaging, predictive medicine, connected health, digital mental health therapies, AI-powered disability assistance, and hospital operations optimization.

The final part addresses the conditions for responsible implementation, including ethics, trust-building, cybersecurity, and regulatory frameworks. Each chapter is enriched with exclusive interviews featuring physician-researchers and technology leaders from institutions such as Stanford, Harvard, and MIT, as well as operational case studies from innovative technology companies and clinics.

The book bridges the gap between technical possibility and clinical reality. It is written for healthcare professionals, hospital decision-makers, health technology leaders, researchers, and policymakers who need to understand, evaluate, and act on AI within their organizations. Readers will gain a clear, jargon-free understanding of what AI can and cannot do today, the critical questions to ask before any deployment, and a practical framework for successfully implementing AI while keeping patients at the center.

Zielgruppe

Professional Practice & Development

Autoren/Hrsg.

Klein, Thomas

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
• Wirtschaftswissenschaften Betriebswirtschaft Organisationstheorie, Organisationssoziologie, Organisationspsychologie
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Gesundheitswirtschaft
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Wirtschaftswissenschaften Betriebswirtschaft Management Wissensmanagement

Inhaltsverzeichnis

PART A: FUNDAMENTALS Chapter 1. Understanding the acceleration of Artificial Intelligence Chapter 2. The AI Agentic paradigm Chapter 3. AI in Healthcare: a delicate revolution with high stakes Chapter 4. Medical data: fueling innovation in healthcare PART B: REAL-WORLD APPLICATIONS Chapter 5. Revolutionizing diagnosis and medical imaging Chapter 6. Predictive medicine: anticipating to save lives Chapter 7. AI agentic approach to revolutionize personalized care Chapter 8. Connected health: a digital revolution for all Chapter 9. AI serving hospitals Chapter 10. Digital therapies: a new era for mental health Chapter 11. AI and disability: towards greater autonomy PART C: RESPONSIBLE IMPLEMENTATION Chapter 12. Building trust: ethics at the heart of AI in healthcare Chapter 13. Cybersecurity and AI Chapter 14. Emerging technologies and the future of healthcare Chapter 15. The support system: AI powering what happens before and around care CONCLUSION: Together for Tomorrow’s Health

Über Autor(innen)

Thomas Klein is an expert in artificial intelligence. Based in the United States, he supports organizations worldwide in their strategic adoption of AI, with particular expertise in the digital transformation of the healthcare sector.

An engineering graduate of Télécom Nancy, Thomas Klein completed his education with several high-level training courses in France and abroad. He studied at the University of Leicester in the United Kingdom. He began his career as a consultant, contributing to major digital transformation projects for the French government. He then served as Director of Digital Transformation, leading projects for European institutions. He also trained in artificial intelligence applied to healthcare at MIT and Harvard with certification programs. These courses reinforce the expertise he has acquired in the field through numerous projects deployed in hospitals and healthcare organizations.

His commitment to AI in healthcare was demonstrated with the implementation of the first global solution combining mixed reality and artificial intelligence to help autistic children develop their social skills. This innovation illustrates his vision of technology truly serving human well-being and inclusion.
With solid experience in digital transformation gained in a variety of environments, Thomas Klein joined Microsoft France in 2020. His arrival coincided with the acceleration of AI, ideally positioning his expertise at the heart of this technological revolution. At Microsoft France, his achievements earned him several awards, including the Platinum Award and the Technology Solution Excellence Award. These accolades testify to his ability to orchestrate complex transformations and guide customers toward successful AI adoption, particularly in the healthcare sector. He has spoken at HIMSS, the world's leading healthcare and innovation trade show, to present his vision of AI in hospitals.

Alongside his role at Microsoft, Thomas Klein put his expertise to work for the common good as a municipal councilor to the Mayor of Suresnes, in charge of Responsible Artificial Intelligence. In this role, which is unique in France, he spearheaded a pioneering approach to integrating AI into local public services, notably organizing the first conference on "AI and My City." This experience gave him an intimate understanding of the challenges of accessibility and ethics in AI for all citizens.

Based in the United States since 2024, Thomas Klein has been putting his expertise at the service of organizations around the world. His mission: to support them in building a strategic vision of responsible AI and harness its full potential.

His career path reflects a deep conviction: technology must serve humanity. This multidimensional experience, combining technical innovation, strategic vision, and ethical commitment, makes him a leading voice for deciphering the issues, opportunities, and challenges of artificial intelligence in the transformation of the healthcare sector.