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The Rise of Self-Learning AI in Healthcare: The Dawn of Adaptive, AI-Driven Healthcare is a response to this unfolding paradigm shift. It explores how adaptive AI technologies are reshaping everything from diagnosis and treatment planning to remote monitoring, rehabilitation, and drug discovery. Unlike conventional models, self-learning AI thrives in complexity, improves with data, and holds the potential to democratize access, personalize interventions, and enhance decision-making across the care continuum.This book was written to provide a holistic view of the current landscape and future directions of self-learning AI in medicine. It brings together core technical principles with practical use cases, ethical considerations, and reflections on clinical impact. Each chapter delves into a specific domain-ranging from personalized therapy and federated learning to mental health support and regulatory challenges-offering insights into how intelligence that learns can transform medicine that heals.
Über den Autor / die Autorin
Dr. Subarsha Banerjee is a researcher at JIS University, Agrapara, specializing in AI, graph theory, and data science in healthcare. His work explores self-learning systems and their real-world impact, with a focus on ethical, adaptive technologies that advance personalized, intelligent medicine.
