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 : Managing healthcare transformation towards personalized, preventive, predictive, participative precision medicine ecosystems
Bernd Blobel, University of Regensburg, Germany
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 : Nanoparticles passing the blood brain barrier to treat cancer, infection, and more
Thomas J Webster, Brown University, United States
Title : Transcranial painless neurorehabilitation scalp acupuncture electrical stimulation for neuroregulation of autism spectrum disorder
Zhenhuan Liu, Guangzhou University Chinese Medicine, China
Title : Effects of prenatal androgen exposure on Purkinje cell morphology in the cerebellum of female rats
Kiran Ghotra, Lake Erie College of Osteopathic Medicine, United States