This book presents the groundbreaking ways artificial intelligence (AI) is revolutionizing the healthcare industry and delves into how AI technologies are enhancing patient care, improving diagnostic accuracy, and streamlining healthcare operations. With real-world examples of how AI is being used in hospitals, clinics, and research institutions around the world as well as insights from leading experts who provide readers with access to cutting-edge knowledge and diverse perspectives on the future of medicine, the book provides a comprehensive overview of the innovations driving the future of medicine. Healthcare is facing big challenges including the growing demand for medical services, the need for more accurate diagnoses, and the pressure to reduce costs. AI can help solve these problems by making healthcare more efficient, precise, and accessible to everyone. Appropriate for healthcare professionals, technology enthusiasts, or simply curious readers about the future of healthcare, this book offers a clear and engaging look at how AI is reshaping the medical landscape for the better. Specifically, the book covers various aspects of AI in healthcare, including diagnostics, treatment planning, patient monitoring, hospital management, and public health. In addition, the book presents the ethical, legal, and societal implications, providing a well-rounded discussion that considers both the opportunities and challenges of AI in healthcare.

Offers practical advice on implementation including overcoming common challenges and optimizing the benefits of AI Discusses how AI is being used in various healthcare applications, from diagnostics to patient care Explores future trends in AI and healthcare, offering a look into the upcoming innovations that will shape the industry

Autorentext

Suman Kumar Swanrkar, Ph.D., is an Assistant Professor in the Department of Computer Science and Engineering at Shri Shankaracharya Institute of Professional Management and Technology in Raipur, India. He received his Ph.D. (CSE) from Kalinga University, Nayaraipur and his M.Tech. (CSE) from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India. He has contributed to book chapters published by Elsevier and Springer and is a member of IEEE, IAENG, ASR, IFERP, ICSES, Internet Society, UACEE, IAOP, IAOIP, EAI, and CSTA. Dr. Swanrkar's research interests include intelligent data analysis, nature-inspired computing, machine learning, and soft computing.

Yogesh Kumar Rathore, Ph.D., is an Assistant Professor in the Department of Computer Science and Engineering at Shri Shankaracharya Institute of Professional Management and Technology in Raipur, India. He completed his Ph.D. in Information Technology from the National Institute of Technology, Raipur. Before that, he completed his M. Tech. from Chhattisgarh Swami Vivekanand Technical University and his B. Eng. from Pt. Ravishankar Shukla University. He has published two edited books, contributed chapters to internationally edited books, and authored a textbook on data mining. Dr. Rathore has also been involved in patenting with three Indian patents published and two USA-granted patents, showcasing his expertise in the field of computer science engineering.

Tien Anh Tran, Ph.D., is a Senior Researcher at Seoul National University, Seoul City, South Korea and an Assistant Professor in the Department of Marine Engineering at the Vietnam Maritime University in Haiphong, Vietnam. He is an Honorary Professor at the School of Computing Science and Engineering at Galgotias University, India and an Honorary Adjunct Professor in the School of Computer Science and Engineering at Lovely Professional University (LPU), India. He received his B. Eng. and M.Sc at Vietnam Maritime University and his Ph.D. at Wuhan University of Technology, Wuhan, China. He is an Editor/Guest Editor for the reputation journals indexed in SCI/SCIE was one of five outstanding scientists in Vietnam to be nominated for the Ta Quang Buu prize by the National Foundation for Science and Technology Development (NAFOSTED).

Pratikkumar (Pratik) Chunawala serves as a Principal Cloud Architect at Amazon Web Services (AWS) Professional Services, where he has made significant contributions to the field of cloud computing and digital transformation. His work focuses on leading large-scale cloud migrations and modernizations, particularly for Fortune 100 companies. By developing sophisticated cloud architectures, Pratik has enabled global enterprises to optimize operational efficiencies, reduce costs, and implement secure, scalable cloud solutions. His leadership in these transformative projects has positioned him as a key innovator in the realm of cloud migration, influencing the adoption of advanced cloud technologies on an international scale.

Harshvardhan Chunawala is a Solutions Architect and former Cloud Infrastructure Architect at Amazon Web Services (AWS). With expertise in building and securing cloud infrastructures, Harshvardhan has developed cutting-edge solutions for some of the leading companies in the United States, spanning industries such as Financial Services, Healthcare and Life Sciences, Media, Games, and Entertainment. His pioneering work has earned him recognition as an industry leader in secured cloud computing, making him a sought-after expert in the field.

Inhalt

Introduction to Artificial Intelligence in Healthcare.- AI in Medical Imaging and Diagnostics.- AI in Personalized Medicine.- AI in Patient Monitoring and Management.- AI in Clinical Decision Support Systems.- AI in Healthcare Operations and Administration.- AI in Drug Discovery and Development.- Ethical and Societal Implications of AI in Healthcare.- Implementing AI in Healthcare: Challenges and Solutions.- Future Directions of AI in Healthcare.- Conclusion: The Transformative Power of AI in Healthcare.