Artificial Intelligence is revolutionizing the field of neurology and neurosurgery by enhancing diagnostic accuracy, treatment planning, and surgical precision. AI-powered algorithms analyze complex neuroimaging data to detect subtle patterns, enabling earlier identification of conditions like stroke, brain tumors, and neurodegenerative diseases. In the realm of artificial intelligence in neurology and neurosurgery, AI integrates with robotics to optimize precision during surgical procedures, reducing risks and improving patient outcomes. Machine learning models further contribute by predicting patient responses to therapies, facilitating more personalized treatment strategies. The continuous integration of AI in neurological research and practice is driving innovation, offering transformative solutions to the complex challenges associated with brain and nervous system care.
Title : Perception and individuality
Ken Ware, NeuroPhysics Therapy Institute, Australia
Title : Narrative medicine: A communication therapy for the communication disorder of Psychogenic Non-Epileptic Seizures (PNES) also known as Functional Seizures (FS)
Robert B Slocum, University of Kentucky HealthCare, United States
Title : Futurey on neurology
Luiz Moutinho, University of Suffolk, United Kingdom
Title : The foundation and architecture of Personalized & Precision Medicine (PPM) in clinical neurology: Towards curative and neurodegenerative disease-modifying treatment for multiple sclerosis
Sergey Suchkov, R&D Director of the National Center for Human Photosynthesis, Mexico
Title : Predictors of neurological recovery following traumatic spinal cord
W S El Masri, Keele University, United Kingdom
Title : The vision neurology as bio-recursion and brain-blockchain
Dobilas Kirvelis, Lithuanian Scientific Society, Lithuania