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 : 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 : 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 : ACE-dependent Alzheimer’s Disease (AD)
Sergei M Danilov, University of Illinois, United States
Title : Examining the effects of prenatal neurotoxin exposure on the development of the prefrontal cortex and its impact on executive functioning and attentional capacities in children
David Joseph Sperbeck, Private practice, United States
Title : Managing healthcare transformation towards personalized, preventive, predictive, participative precision medicine ecosystems
Bernd Blobel, University of Regensburg, Germany