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(Amity University, India)
Nisha Rathore is a dedicated academician and researcher serving as an Assistant Professor at Amity University Chhattisgarh, Raipur with over six years of teaching experience in Computer Science and Engineering. She holds an M.Tech. from NIT Patna and specializes in brain-computer interfaces, soft computing, computer networks, fuzzy logic, and machine learning. She has qualified GATE and UGC-NET and has published over 25 research papers in reputed journals and international conferences. She has 10 published and granted patents, authored 10 book chapters, co-authored three books, and edited five books. She is an active member of IEEE, IAENG, IAEEEE, IFERP, ISTE, CSTA, and IIC, promoting innovation in emerging technologies.
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.