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 : Scalp acupuncture with functional electrical stimulation for the treatment children with autism spectrum disorder
Zhenhuan Liu, Guangzhou University of Chinese Medicine, China
Title : Perception and individuality in patient cases identifying the ongoing evolution of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS)
Ken Ware, NeuroPhysics Therapy, Australia
Title : A structure-based strategy to target pathogenic α-synuclein in Parkinson’s disease
Salvador Ventura, Autonomous University of Barcelona, Spain
Title : Rabies: Challenges in taming the beast
Alan C Jackson, University of Calgary, Canada
Title : Designing and managing intelligent and ethical transformed health and social care ecosystems
Bernd Blobel, University of Regensburg, Germany
Title : Understanding Alzheimer's disease biomarkers across diverse populations - Opportunities and Insights for novel prevision medicine approaches
Sid O Bryant, Texas College of Osteopathic Medicine and University of North Texas Health Science Center Fort Worth, United States