The Role of Generative AI in Cognitive Diseases Diagnosis, Treatment Planning, and Future Healthcare

This book provides an in-depth exploration of how generative AI is transforming the diagnosis, treatment planning, and future of cognitive healthcare . By integrating cutting-edge artificial intelligence with medical science, it highlights how AI-driven innovations are enhancing early detection, intervention strategies, and personalized treatment for neurological disorders such as Alzheimer's, Parkinson's, and dementia . Cognitive diseases pose significant challenges due to late-stage diagnoses, limited treatment efficacy, and the complexity of neurological disorders. This book addresses these critical issues by showcasing the role of AI-generated medical imaging, synthetic data, and biomarker discovery in improving diagnostic accuracy and advancing research. It introduces AI-powered digital twins, neuro rehabilitation, and cognitive therapy , demonstrating how machine learning models can predict disease progression and optimize patient care. Readers will gain insights into how AI is reshaping healthcare workflows , from GANs, VAEs, and diffusion models in medical imaging to AI-assisted patient monitoring and rehabilitation programs . Ethical considerations, such as bias in AI models, patient privacy, and regulatory frameworks , are also discussed, ensuring a balanced perspective on AI adoption in healthcare. Designed for an interdisciplinary audience , this book serves as both an academic reference and a practical guide for medical professionals, AI researchers, healthcare innovators, and policymakers . Whether you are a clinician looking to integrate AI into your practice, a researcher exploring AI applications in medicine, or a technology leader shaping the future of healthcare, this book equips you with the knowledge to harness generative AI for improved cognitive disease management .