AI for Healthcare
The Essential Guide to Understanding the AI Revolution in Healthcare
By Thomas Klein. A clear, evidence-based guide to how artificial intelligence is transforming medicine, and what it takes to put it to work responsibly. Hardcover, paperback and ebook. Published by Routledge / Productivity Press.
About the Book
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Artificial intelligence is already reshaping healthcare. Yet most professionals still lack a clear, practical guide to what AI can do today, where its limits are, and how to implement it responsibly.
AI for Healthcare bridges the gap between technical possibility and clinical reality. It explains machine learning, large language models and AI agents through concrete clinical examples, then follows them into hospitals around the world where they are already in use.
Three parts: Fundamentals, Real-World Applications, and Responsible Implementation. Each chapter is enriched with exclusive interviews with physician-researchers and technology leaders from Stanford, Harvard, MIT and beyond.
From the author
“Artificial Intelligence: these two words provoke passionate reactions. For some, they evoke a bright future where all diseases will be conquered. For others, they sound like a threat, heralding the end of human medicine. As is often the case, the reality lies somewhere in between. With this book, I aim to offer a clear perspective on AI in healthcare and a grounded analysis of its uses, so that everyone can understand and share in its benefits.” — Thomas Klein
Inside the Book
AI Beyond the Myths
What AI really is, what it can already do in medicine, and what it will never do: machine learning, large language models and AI agents, explained without jargon.
Augmented Diagnosis
How AI detects the invisible in medical images, helping clinicians diagnose earlier and more accurately, from radiology to retinal scans.
The Smart Hospital
From patient flow to continuous monitoring in intensive care, how AI frees clinicians from paperwork and gives time back to patients.
Mental Health & Inclusion
Digital therapies that detect early signs of depression, and neural implants, exoskeletons and assistive tools that give autonomy and a voice back to people with disabilities.
Predictive Medicine
From wearables and connected sensors to early-warning algorithms: how AI anticipates disease before the first symptoms appear.
Ethics & Trust
Ethics, trust and cybersecurity: protecting data, ensuring transparency and accountability, and making AI a lever for equal access to care.
Who This Book Is For
Healthcare Professionals
Hospital Leaders
Health Technology Teams
Researchers & Students
Policymakers
Innovators & Curious Readers
Expert Voices
Stanford
Prof. Curtis P. Langlotz, Radiology & AI
Harvard
Prof. Vikram Patel, Global Health
MIT
Prof. Rosalind Picard, Affective Computing
WashU
Dr. Shinjini Kundu, Medical Imaging & AI
AP-HP
Dr. J.-E. Bibault & Prof. A. Mignon, Paris hospitals
Alan
Charles Gorintin, co-founder of Alan and Mistral AI advisor
Tech
Matthieu Masselin (Wandercraft) & Olivier Oullier (Inclusive Brains)
Novant
Sebastien Girard (Novant Health) & Rémi Kasprzyk, nurse and entrepreneur
Invite Thomas to Speak
Will AI replace doctors? Why it's the wrong question, and what healthcare should really be asking.
Keynotes & panels
Beyond the hype: what large language models and AI agents can realistically contribute to medicine.
Conferences & workshops
The ethics of AI in healthcare: trust, transparency, bias, accountability and regulation.
Interviews, podcasts & op-eds
Get in Touch
