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(ICFAI University, India)
Dr. Palak Keshwani is an Assistant Professor in the Department of Computer Science and Engineering at ICFAI University, Raipur, with over 16 years of academic and research experience. Her research interests span Wireless Sensor Networks (WSNs), Image Processing, Energy-Efficient Computing, and Machine Learning. She has published several research papers in reputed national and international journals and has presented her work at prestigious conferences. In addition to her research contributions, she is the author of academic books and actively contributes to advancements in the field of Computer Science and Engineering through teaching, research, and scholarly activities.
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.