Artificial Intelligence-Based System Models in Healthcare provide a comprehensive and insightful guide to the transformative applications of AI in the healthcare system. As technological advancements reshape medical practices, this handbook serves as a roadmap for researchers, healthcare professionals, and technology enthusiasts in the evolving healthcare delivery of AI-based systems. The contributor's and editors' knowledge provides a valuable resource to help understand how AI-based solutions will improve patient care and inspire the advancements of cutting-edge solutions.

This book is edited into three sections, focusing on healthcare systems and AI-based system models. The first section explores the introduction to healthcare systems, focusing on the fundamental role of technology in reshaping the healthcare landscape. This section offers a unique perspective, emphasizing the integration of technology into healthcare ecosystems. The second part takes a deep dive into specific AI-based system model applications. From valuable insights into how AI systems offer valuable insights into the potential impact of patient outcomes, it also delves into topics of machine learning, image analysis, and biomedical text processing. The final section covers the future landscape of AI applications in healthcare practices. This section concludes by exploring the frontiers of AI-driven healthcare innovations and how they will aid the future of healthcare.

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A. Jose Anand, Ph.D., is a professor in the Department of ECE, KCG College of Technology, Chennai, Tamil Nadu, India. He obtained a Ph.D. in information and communication engineering from Anna University in 2017. He published several papers in national and international journals and also published books on polytechnic & engineering subjects.

K. Kalaiselvi, Ph.D., is an associate professor in the Department of Computer Applications, Saveetha College of Liberal Arts and Sciences, Chennai, Tamil Nadu, India. She has completed a mini-project on mobile tracking systems and delivered lectures at national and international conferences on her current research areas. She developed E-Content for the Database Management Systems course, SAP Course. In addition, she received the ‘Senior Woman Educator & Scholar Award’ in 2020.

Jyotir Moy Chatterjee, Ph.D., is an assistant professor in the Department of CSE, Graphic Era University, Dehradun, Uttarakhand, India. Additionally, he is an assistant professor in the Department of IT at the Lord Buddha Education Foundation, Kathmandu, Nepal. His research interests include machine learning and the Internet of Things. He is also the Young Ambassador of the Scientific Research Group of Egypt for 2020-2021.

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