Machine Learning and AI in Medicine: Enhancing Diagnosis, Prognosis, and Therapeutics

AI in Medicine is a forward-thinking exploration of how artificial intelligence is reshaping the healthcare landscape. The book covers a wide range of topics, from machine learning and natural language processing to robotics and personalized medicine, illustrating the diversity of AI’s applications in clinical and research settings. Each chapter is dedicated to a different aspect of AI in medicine, including its role in diagnostics, decision-making, patient management, and drug development. The book offers both theoretical insights and practical examples, showcasing how AI technologies are already being used to improve healthcare outcomes. In addition to its focus on technological advancements, AI in Medicine also explores the ethical dilemmas and regulatory challenges that come with the widespread adoption of AI in healthcare systems. With contributions from experts in both AI and medical fields, this book provides an interdisciplinary approach that bridges the gap between technology and clinical practice. It is an essential read for those looking to understand not only the current state of AI in medicine but also its future potential in transforming healthcare delivery worldwide.