This comprehensive book brings together a diverse collection of insights from experts in medicine, computer science, and data analytics to explore the evolving role of artificial intelligence (AI) in the healthcare sector. The chapters delve into various facets of AI applications, from legal considerations and mathematical foundations to the practical implementations of machine learning and deep learning in healthcare
Artificial Intelligence in Trends, Applications, and Future Directions is structured into several parts, each addressing crucial aspects of AI in healthcare. It first discusses the challenges and future scope of AI in healthcare systems and goes on to review the mathematical foundations and big data that form the basis of AI applications. The subsequent parts cover data processing and collection, AI application in diagnosis and treatment, imaging and disease detection, robotics, automation, pharmaceutical and biomedical applications, ethical considerations, and future trends and directions. The diverse range of topics covered reflects the complexity and richness of this field, providing readers with a well-rounded perspective on the subject matter.
Designed to bridge the gap between the technical intricacies of AI and the real-world implications for healthcare professionals, researchers, and policymakers, this book provides readers with a multidimensional understanding of how AI is transforming healthcare, shaping the present, and guiding the future of medical practices. The book will serve as a catalyst for further exploration, collaboration, and innovation in leveraging AI for the betterment of healthcare practices worldwide.