Artificial Intelligence in Clinical Neurophysiology: Current Advances, Challenges, and Future Perspectives
Introduction Artificial Intelligence in Clinical Neurophysiology is fundamentally transforming the field, revolutionizing how neurologists and clinical neurophysiologists interpret electroencephalography (EEG), electromyography (EMG), nerve conduction studies (NCS), and neuroimaging data. The integration of machine learning (ML) and deep learning algorithms has evolved from experimental research to practical clinical applications, with AI systems now achieving diagnostic accuracy […]