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(IFTM University, India.)
Dr. Ashish Nagila is an Assistant Professor in the Department of Computer Science and Engineering at the School of Computer Science and Applications, IFTM University, Moradabad, India. His research interests include Artificial Intelligence, Deep Learning, intelligent transportation systems, computer vision, and predictive analytics. He actively contributes to academic research focused on intelligent computing solutions for real-world applications.
Short Description / Abstract Next-Generation AI-Driven Healthcare Systems for Disease Prediction, Diagnosis and Therapeutic Optimization explores the transformative role of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) in modern healthcare. The book covers AI-based approaches for disease prediction, early diagnosis, risk assessment, medical image analysis, remote health monitoring, disease progression prediction, and personalized therapeutic optimization. It addresses applications involving chronic diseases, cancer, cardiovascular disorders, diabetes, kidney and liver diseases, neurological conditions, infectious diseases, and respiratory illnesses. The volume also examines emerging technologies such as multimodal deep learning, the Internet of Things (IoT), Explainable AI, federated learning, and intelligent clinical decision support systems. Furthermore, it highlights challenges related to data quality, privacy, algorithmic bias, model interpretability, ethical implementation, and clinical validation. This book serves as a valuable reference for researchers, academicians, healthcare professionals, postgraduate students, and technology practitioners interested in developing reliable, transparent, and patient-centred AI-driven healthcare solutions.