Artificial Intelligence Methods and Applications Enabling Healthcare 5.0

1. Auflage 2026
ISBN: 978-1-032-84802-0
Verlag: Taylor & Francis

Buch, Englisch, 344 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Demystifying Technologies for Computational Excellence

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 Health 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.

Zielgruppe

Professional Reference

Autoren/Hrsg.

Juneja, Abhinav

Bhardwaj, Manish

Noeiaghdam, Samad

Inhaltsverzeichnis

Section 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. Section 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. Section 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. Section IV: Drug Discovery and Development. 10. Artificial Intelligence in Drug Discovery and Development. 11. The Role of AI in Drug Discovery. Section V: Clinical Applications and Diagnostics. 12. LLM-Driven Healthcare Analytics: Automating Queries and Enhancing Clinical Insight. 13. MediQuery: AI Reliable Medical Retrieval-Augmented Generation System. 14.Artificial Intelligence models in oral cancer risk management: Technology & Challenges. 15. Cancer Prediction Using Naïve Bayes Theorem. 16. Cancer Detection using Deep Learning. Section VII: 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. Section VII: Future Perspectives and Human Development. 19. AI-Powered Soft Skills Development for Future Medical and Engineering Innovators.

Über Autor(innen)

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 holds a Master's degree in Information Technology from GGSIPU, Delhi. His research interests include Software Reliability, IoT, Machine Learning, and Soft Computing. Dr. Juneja has published numerous papers in reputed national and international journals and has mentored several research-oriented projects for postgraduate and undergraduate students.

Dr. Manish Bhardwaj is a Research Professor in the CSIT Department at the KIET Group of Institutions, Ghaziabad, India. He has 15 years of experience in teaching and research and development, specializing in Computer Science and Engineering. Dr. Bhardwaj received his Ph.D. from Dr. Abdul Kalam Technical University (AKTU), Lucknow, India, and completed his M.Tech in Computer Science and Engineering from SRM University, Chennai, India. His academic and research interests include Computer Science, Simulations, Mobile Ad Hoc Network Protocols, and Wireless Sensor Networks. He has published nearly 78 research papers in various international journals and conferences and has contributed to approximately 165 international conferences and journals as a General Chair, International Scientific Committee Member, Keynote Speaker, Reviewer (for Scopus-indexed journals and conferences), and Editorial Board Member. He is associated with several international organizations, including the Vinfuture Foundation (Vietnam), ASDF Foundation (United Kingdom), and Providence University (Taiwan). Dr. Bhardwaj has edited four books and contributed 25 book chapters for renowned publishers. Additionally, he has filed nearly 35 patents (31 national and 4 international).

Dr. Samad Noeiaghdam is a Research Professor at the Institute of Mathematics, Henan Academy of Sciences, Zhengzhou, China, and a Professor of Applied Mathematics at Irkutsk National Research Technical University, Irkutsk, Russia. He has authored over 120 published papers in various fields, including numerical analysis, bio-mathematical models, fuzzy mathematics, numerical optimization, solving ill-posed problems, integral equations, differential equations, partial differential equations, MHD problems, and heat and mass transfer problems. Dr. Noeiaghdam is a member of the editorial and reviewer boards of several journals indexed by Web of Science (WOS) and Scopus.