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
Daniel Curry
Texas Children’s Hospital, United States
Steven Benvenisti
Davis, Saperstein Salomon, PC, United States
Younok Dumortier Shin
OnusBio, United States
Jessica Marchant
Texas Woman's University, United StatesSubmit your abstract Today
Title : Narrative medicine: A communication therapy for the communication disorder of Functional Seizures (FS) [also known as Psychogenic Non-Epileptic Seizures (PNES)]
Robert B Slocum, University of Kentucky HealthCare, 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
Title : Triple-network dysfunction, ME/CFS, and the NeuroPhysics Treatment Process “A dynamical systems perspective on psychophysical organization and environmental interaction”
Ken Ware, NeuroPhysics Therapy Institute and Research Centre, Australia
Title : In silico in vitro and in vivo study of geraniol role in Alzheimer's disease
Bhuvanesh Baniya, Mohanlal Sukhadia University, India
Title : Prince transform: a wave-mechanical framework for real-time EEG analysis and early seizure prediction using chirp and drift detection
Mustafa A Khan, Sevaro Health Inc., United States
Title : Gut-brain axis in autism spectrum disorder: MicroRNAs as a critical mediator of pathogenesis
Rahem Rahmati, Shahrekord University of Medical Sciences, Iran (Islamic Republic of)