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 : ACE-dependent Alzheimer’s Disease (AD)
Sergei M Danilov, University of Illinois, United States
Title : Essential roles, mechanisms and consequences of vascular dementia
Yong Xiao Wang, Albany Medical College, United States
Title : Neuroimaging by evaluation nerverenovate and neuroplasticity of acupuncture in children with cerebral palsy
Zhenhuan Liu, Guangzhou University of Chinese Medicine, China
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 : Who cares …… for the carers
Jaqueline Tuppen, COGS Club, United Kingdom