Dr. Afroze Ansari, Dr. K.V. Parthasarathi, Rasmi Ranjan Khansama, Prof. Dinesh Jamthe
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Release Date: To be updated | Copyright:©2026 | Pages: 745
ISBN10: 0 | ISBN13: 0
AI and Smart Technologies for Early Detection and Treatment of Human Diseases explores the transformative role of artificial intelligence, machine learning, and emerging smart technologies in modern healthcare. The book highlights innovative approaches for disease prediction, early diagnosis, personalized treatment, medical imaging analysis, wearable health monitoring, and intelligent clinical decision support systems. It presents recent advancements in AI-driven healthcare solutions that improve accuracy, efficiency, and accessibility in disease management. Covering applications across various medical domains, this book provides valuable insights for researchers, healthcare professionals, engineers, and students interested in leveraging intelligent technologies to enhance early detection, prevention, and treatment of human diseases.
This book covers a wide range of topics related to the integration of artificial intelligence and smart technologies in healthcare. It includes AI-based disease prediction models, machine learning algorithms for medical diagnosis, deep learning applications in medical imaging, intelligent health monitoring systems, wearable devices, and IoT-enabled healthcare solutions. The coverage extends to personalized medicine, remote patient monitoring, clinical decision support, robotic healthcare systems, and data-driven treatment strategies. It also discusses challenges such as data security, ethical considerations, and future trends in AI-powered healthcare. The book provides comprehensive knowledge for advancing early disease detection and effective treatment methodologies.
Dr. Afroze Ansari is an Assistant Professor in the Department of Computer Science & Engineering, Faculty of Engineering & Technology, Khaja Bandanawaz University, Kalaburagi, Karnataka. She holds B.E. (CSE), M. Tech. (CSE), and Ph.D. in Computer Science & Engineering from Visvesvaraya Technological University, Belagavi, Karnataka. She has over 23 years of teaching experience in the field of Computer Science and Engineering. Her areas of expertise include Computer Networking, Machine Learning, and Programming. Her research interests focus on machine learning-based medical disease diagnosis. Dr. Ansari has published numerous research papers in reputed international journals, conferences, and national seminars. She is the author of two books and has contributed four chapters in internationally published books. She has completed multiple NPTEL certification courses with Silver Medals and has served as a resource person in various Faculty Development Programs (FDPs). She actively contributes to academic and institutional activities as an organizing committee member at department, college, and university levels.
Dr. K.V. Parthasarathi, M. Pharm., Ph.D., is a distinguished professor of Pharmaceutical Analytical Chemistry at K.S. Rangasamy College of Pharmacy, KSR kalvinagar, Thiruchencode, The Tamilnadu Dr. M. G. R. Medical University with over 15 years of teaching experience and specialist in drug testing and quality control. He is well-versed in *Pharmaceutical Analysis: Modern Techniques and Methodologies*, a comprehensive resource that delves into the latest developments in the field of pharmaceutical analysis. His research is widely respected for its thorough exploration of chromatographic methods, spectroscopy, and the validation of pharmaceutical processes, offering significant contributions that are highly valued by the scientific community. Throughout his career, Dr. Parthasarathi has become known for his ability to bridge the gap between theoretical research and practical industry applications. His work on high-performance liquid chromatography (HPLC), gas chromatography (GC), Nuclear magnetic resonance spectroscopy (NMR) and various spectroscopy techniques has set new standards in the field of pharmaceutical analysis, particularly for regulatory compliance, product quality assurance and explorer different types of analytical, regulatory, pharma software.
Rasmi Ranjan Khansama is an academician, researcher, and innovator specializing in Machine Learning, Deep Learning, Data Science, and Artificial Intelligence. He currently serves as Head of the Department of Computer Science at Government Degree College, Tuni, Andhra Pradesh, India. He holds an M. Tech in Information Technology from the University of Hyderabad and has published several research papers in reputed international journals and conferences. He is also associated with multiple patented innovations in AI-based systems, blockchain-based data storage, and assistive technologies. In addition, he has served as an expert for the BRICS Future Skill Challenge and ITSSB WorldSkills initiatives.
Prof. Dinesh Jamthe completed his B.E. degree in Information Technology from Rashtrasant Tukadoji Maharaj Nagpur University, Maharashtra, India, in 2005, followed by an M.E. degree in Wireless Communication & Computing from G. H. Raisoni College of Engineering, RTMNU University, in 2012. He is currently pursuing Ph.D. in Computer Science & Engineering from Indian Institute of Information Technology (IIITN), Nagpur, Maharashtra. With over 19 years of academic and professional experience, he is presently working as an Assistant Professor in the Department of Computer Science and Engineering at Priyadarshini Bhagwati College of Engineering, Nagpur. His research area includes Networking, Network Security, Data Science, ML/DL in Healthcare System.
