13th Edition of International Conference on Neurology and Brain Disorders
October 19-21, 2026
Artificial Intelligence in Neurology and Neurosurgery
The application of Artificial Intelligence (AI) in neurology and neurosurgery is reshaping how neurological disorders are diagnosed and treated. AI tools assist in analyzing electrophysiological signals and neuroimaging scans with remarkable accuracy, improving early detection and intervention. In surgical contexts, AI-driven robotics enhance precision and efficiency, especially in intricate procedures like brain and spinal surgeries. Predictive analytics supported by machine learning enables tailored treatment plans, considering the unique characteristics of each patient. AI also fosters advancements in neurorehabilitation, with intelligent systems aiding recovery through adaptive therapies. This evolving technology is setting new benchmarks for excellence in neurological healthcare.
Ken Ware
NeuroPhysics Therapy Institute and Research Centre, Australia
Yong Xiao Wang
Albany Medical College, United States
Joe Sam Robinson
Mercer University, United States
Toru Kondo
Hokkaido University, Japan
Isao Okunishi
Kinjirushi Co., Ltd, Japan
Thomas J Webster
Brown University, United States
Younok Dumortier Shin
OnusBio, United StatesSubmit your abstract Today
Title : Spring break: A true story of hope and determination
Steven Benvenisti, Davis, Saperstein Salomon, PC, United States
Title : The role of compromised cerebrospinal fluid circulation in sleep apnea
Joe Sam Robinson, Mercer University, United States
Title : ADNP regulates cortical development: Mechanism of ADNP syndrome/autism
Kazuhito Toyooka, Drexel University College of Medicine, United States
Title : Nervous system effects in chemicals with immediately dangerous to life or health values
Sudha P Pandalai, National Institute for Occupational Safety and Health, United States
Title : Clinical outcomes of AI-augmented cognitive rehabilitation in dementia and mild cognitive impairment
Esra Al, NewDays, United States
Title : Atypical presentation of Juvenile myoclonic epilepsy in a 16-year-old female: A case report
George Diaz, Memorial Healthcare Systems, United States