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.
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 : ADNP regulates cortical development: Mechanism of ADNP syndrome/autism
Kazuhito Toyooka, Drexel University College of Medicine, United States
Title : Mild cognitive impairment (MCI) in Parkinson’s disease: Prevalence given MDS criteria
Cay Anderson Hanley, iPACES, United States
Title : Modeling early neurologic trajectories after elevated leg positioning (ELP): A secondary analysis of the LEG-UP randomized feasibility study
Kayode Ahmed, The University of Texas MD Anderson Cancer Center, United States
Title : Neuro-exergaming for non-verbal autism spectrum: A case study of neuropsychological function after 15 sessions of pedal-n-play iPACES
Cay Anderson Hanley, iPACES, United States
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