"Intelligence-based healthcare: An essential guide with case studies of artificial intelligence for the healthcare leader and provider" is an essential guide with an introduction to data science and artificial intelligence to provide the reader with a quick orientation and education on AI in healthcare. This book also offers a framework for success in planning, deployment, implementation, and evaluation of AI models in healthcare. In 25 chapters "Intelligence-based healthcare: An essential guide with case studies of artificial intelligence for the healthcare leader and provider" both introduces the reader to artificial in medicine and healthcare, and AI concepts. To render AI more understandable and relatable to the reader, case studies are used as a learning strategy to illustrate the aforementioned AI concepts. The cases implement AI in solving a very specific problem, clinical or operational, in clinical medicine or healthcare. Both cases that illustrate successful implementation of AI as unsuccessful application cases with important lessons learned are included. Each chapter can be read independently and therefore the book is a valuable resource for researchers, health professionals, postgraduate students, post doc researchers and faculty members in the fields of artificial intelligence in medicine and healthcare, and all those who wish to broaden their knowledge in the allied field.

Provides access to research of front-line leaders of close to 100 centers of AI in medicine from around the world

Couples concepts of artificial intelligence and applications of these AI tools in clinical medicine and healthcare that is not overly technical but synergistic is unique

Presents case studies in a systematic manner for all stakeholders to understand the in-depth thinking is a first-of-its-kind book to render AI much more relatable and transparent

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