Artificial Intelligence Methods and Applications Enabling Healthcare 5.0

Artificial intelligence (AI) technology is rapidly gaining popularity across various industries, not just in large corporations but also in our everyday lives. The healthcare sector has particularly benefited from the advancements in AI, as it has revolutionized the way diagnostic information is compiled and utilized to understand and treat diseases. Artificial Intelligence Methods and Applications Enabling Healthcare 5.0 discusses the cutting-edge AI technology that is revolutionizing healthcare education. It explores how AI can enhance, broaden, and update the current healthcare standard, as it uncovers uncharted territory in the quest for the best applications of AI in healthcare. The book synthesizes recent advancements in healthcare decision-making and prediction, which are reshaping the focus of AI in this field. In addition, the book covers how AI is revolutionizing disease diagnosis and treatment within the medical community, providing unparalleled accuracy and efficiency. Lastly, real-time case studies and innovative work are included to offer a glimpse into the future possibilities and scope of AI in healthcare. This book will appeal to a wide range of readers, including those in healthcare, manufacturing, e-commerce, and automation, among others. Technology enthusiasts will also discover valuable insights into the significant progress being made in this field. There remains a constant pursuit of optimal solutions for real-time applications and this book aims to provide answers to this ongoing quest for innovation.

Dr. Abhinav Juneja is a Professor and Director CRPC at KIET Group of Institutions, Ghaziabad, India. He has over 24 years of experience teaching postgraduate and undergraduate engineering students. Dr. Juneja earned his Doctorate in Computer Science and Engineering from M.D. University, Rohtak in 2018 and has a master's in Information Technology from GGSIPU, Delhi. He has research interests in the field of software reliability, IoT, machine learning, and soft computing. He has published several papers in reputed national and international journals and has mentored several research-oriented projects. Dr. Manish Bhardwaj is a Research Professor in the CSIT, KIET Group of Institutions, Ghaziabad, India. He is a qualified individual with around 15 years of experience in teaching and R&D with specialization in Computer Science and Engineering. He received his PhD from Dr. Abdul Kalam Technical University (AKTU), Lucknow, India, and his MTech (CSE) from SRM University, Chennai. Dr. Bhardwaj has completed research and academic work in the areas of Computer Science, Simulations, Mobile Ad Hoc Network Protocols, and Wireless Sensor Networks. He has published nearly 78 research papers in various international journals/conferences and has contributed to nearly 165 international conferences and journals as General Chair, International Scientific Committee Member/Keynote Speaker/reviewer/(Scopus-indexed journals and conferences), and editorial board member/review in reputed journals. He is associated with several international organizations like Vinfuture Foundation (Vietnam), ASDF Foundation (United Kingdom), and Providence University (Taiwan). Dr. Bhardwaj has been an editor of four books and contributed 25 book chapters for various renowned publishers. He has contributed nearly 35 patents (31 national + 4 international). Dr. Samad Noeiaghdam is a Research Professor at the Institute of Mathematics, Henan Academy of Sciences, Zhengzhou, China. He has authored over 150 published papers in various fields of Applied Mathematics, Numerical Analysis, Biomathematical Problems, and Computational Mathematics. He is recognized among the world's top 2% of scientists by Stanford University and serves as a member of editorial board, guest editor and reviewer for numerous high-impact WOS/Scopus journals.

Preface. About the Editors. List of Contributors. Part I: Foundations and Fundamentals. 1. Emerging Technologies in AI for Healthcare Systems. 2. AI Tools in the Health Care Industry. 3. Transforming Healthcare: The Role of Artificial Intelligence and IoT in Shaping the Future of Medicine. Part II: Core AI Technologies in Healthcare. 4. Deep Learning for Next Generation Healthcare. 5. Implications of Deep Learning in Cyber Threat Intelligence and Medical Imaging. 6. Natural Language Processing in Healthcare: Trends, Applications, and Future Directions. 7. Generative AI in Healthcare Systems: A New Frontier in Medical Technology. Part III: Advanced Computing Paradigms. 8. Green Cloud Computing and Artificial intelligence: New Generation in Innovative Healthcare. 9. AI/IoT/ML for Medical Science Service and Application. Part IV: Drug Discovery and Development. 10. Artificial Intelligence in Drug Discovery and Development. 11. The Role of AI in Drug Discovery. Part V: Clinical Applications and Diagnostics. 12. LLM-Driven Healthcare Analytics: Automating Queries and Enhancing Clinical Insights. 13. MediQuery: AI Reliable Medical Retrieval-Augmented Generation System. 14.Artificial Intelligence models in Oral Cancer Risk Management: Technology and Challenges. 15. Cancer Prediction Using Naïve Bayes Theorem. 16. Cancer Detection using Deep Learning. Part VI: Specialized Applications. 17. Health Impacts of Food Insecurity: Insights from Large-Scale Health Datasets. 18. SoundSync: Harnessing AI-Composed Music for Therapeutic Healing in Medical Care. Part VII: Future Perspectives and Human Development. 19. AI-Powered Soft Skills Development. Index.