13th Edition of International Conference on
Neurology, Brain Health & Neurological Disorders
June 24-26, 2027 | Rome, Italy
Artificial Intelligence in Neurology and Neurosurgery
Artificial Intelligence is revolutionizing the field of neurology and neurosurgery by enhancing diagnostic accuracy, treatment planning, and surgical precision. AI-powered algorithms analyze complex neuroimaging data to detect subtle patterns, enabling earlier identification of conditions like stroke, brain tumors, and neurodegenerative diseases. In the realm of artificial intelligence in neurology and neurosurgery, AI integrates with robotics to optimize precision during surgical procedures, reducing risks and improving patient outcomes. Machine learning models further contribute by predicting patient responses to therapies, facilitating more personalized treatment strategies. The continuous integration of AI in neurological research and practice is driving innovation, offering transformative solutions to the complex challenges associated with brain and nervous system care.
Ken Ware
NeuroPhysics Therapy, Australia
Yong Xiao Wang
Albany Medical College, United States
Sid O Bryant
Texas College of Osteopathic Medicine and University of North Texas Health Science Center Fort Worth, United States
Luiz Moutinho
University of Suffolk, United Kingdom
Bernd Blobel
University of Regensburg, Germany
Salvador Ventura
Autonomous University of Barcelona, Spain
Zhenhuan Liu
Guangzhou University of Chinese Medicine, ChinaSubmit your abstract Today
Title : Neuromodulation of scalp electroacupuncture in the treatment of autism spectrum disorder
Zhenhuan Liu, Guangzhou University of Chinese Medicine, China
Title : Managing healthcare transformation towards intelligent and ethical personalized, preventive, predictive, participative precision medicine ecosystems
Bernd Blobel, University of Regensburg, Germany
Title : Defining the genetic landscape of developmental and Epileptic encephalopathy in Egyptian children using whole exome sequencing
Hisham Megahed, The National Research Center, Egypt
Title : The action potential as a soliton: A geometric derivation from the de Broglie relation with anatomical and clinical implications
Mustafa A Khan, Sevaro Health Inc., United States
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 : Translational insights into molecular mechanisms and neurodegeneration: Bridging experimental models and clinical realities
Benjamin Adebisi Temidayo, Institute of Anatomy Cell Biology Brain and Neurodegeneration, Nigeria