AI-Driven Healthcare: Applications, Ethics, and Challenges in Modern Medicine

“AI-Driven Healthcare: Applications, Ethics, and Challenges in Modern Medicine” is a forward-thinking guide that explores the integration of artificial intelligence in the healthcare industry. The book provides an in-depth analysis of AI technologies and their applications in improving healthcare outcomes, from diagnostics to treatment and patient care management. It covers a broad spectrum of topics, including machine learning, deep learning, data analytics, and automation, all of which are rapidly reshaping the healthcare landscape.
The book begins by introducing the foundational concepts of AI and its role in healthcare, followed by an exploration of the various AI-driven solutions that are currently being implemented in clinical and operational settings. These include AI in medical imaging, predictive models for disease detection, personalized treatment plans, and the use of virtual assistants in healthcare administration.
Additionally, the book examines the challenges of adopting AI in healthcare, including issues related to data quality, algorithm transparency, and ethical concerns. It provides practical examples and case studies from healthcare systems worldwide, illustrating both the benefits and limitations of AI applications. This book is designed for healthcare professionals, technologists,policymakers, and anyone interested in understanding how AI is shaping the future of medicine. It offers a comprehensive roadmap for leveraging AI technologies to enhance healthcare delivery and achieve better patient outcomes.