Artificial Intelligence in Healthcare: Transforming Medicine (Paperback) (ISBN-13: 9798865356967)

"Artificial Intelligence in Healthcare: Transforming Medicine" is your comprehensive guide to the revolutionary fusion of healthcare and AI. This book delves deep into the transformative impact of AI on the medical field, exploring its applications, benefits, challenges, and the promising future it holds.

Chapter 1 provides an insightful introduction to AI in healthcare, tracing the evolution of healthcare and AI, discussing the pivotal role AI plays in this industry, and presenting a balanced view of its benefits and challenges.

Chapter 2 takes you through the fundamentals of machine learning and its applications in healthcare. It covers supervised learning in medical diagnosis, unsupervised learning, and reinforcement learning for treatment optimization.

Chapter 3 is a journey into the world of Natural Language Processing (NLP) in medical records. It explains the intricacies of text data preprocessing, named entity recognition, sentiment analysis, and the role of medical chatbots and virtual health assistants.

Chapter 4 explores the dynamic applications of computer vision in healthcare. It discusses image classification for radiology, object detection for surgical assistance, facial recognition in patient identification, and real-time monitoring with video analytics.

Chapter 5 dives into predictive analytics and disease forecasting, covering predictive modeling in healthcare, early disease detection, readmission risk prediction, and even epidemic outbreak forecasting.

Chapter 6 delves into the realm of robotics and automation in healthcare. It covers surgical robots, teleoperation, robotic rehabilitation, and AI-driven medical robots while also addressing the challenges and ethical considerations in this field.

Chapter 7 sheds light on the critical aspects of data privacy and ethical concerns, encompassing patient data protection, ethical AI in healthcare, bias and fairness in medical AI, and regulatory compliance.

Chapter 8 offers captivating case studies in AI-enabled healthcare, covering AI applications in hospitals, drug discovery and development, AI-assisted radiology, and the fascinating world of personalized medicine and genomics.

Chapter 9 provides a glimpse into the future, exploring AI-integrated medical devices, the role of quantum computing in healthcare, AI's impact on mental health, and AI-powered healthcare delivery models.

Chapter 10 addresses the real-world challenges of implementation and adoption, covering staff training and change management, integration with existing healthcare systems, cost and ROI considerations, and the art of addressing patient concerns.

With a comprehensive scope, insightful case studies, and in-depth coverage of AI's role in reshaping healthcare, this book offers a valuable resource for healthcare professionals, AI enthusiasts, and anyone intrigued by the powerful synergy of technology and medicine. Explore the potential, tackle the challenges, and prepare for a future where AI and healthcare are inseparable partners in the pursuit of improved patient care and well-being.