The integration of Artificial Intelligence (AI) methods with neuroscience has catalyzed a shift in diagnosing and handling neurological disorders. This paper provides an in-depth review of six seminal studies that explore AI methodologies' application across various neurology domains. Drawing upon diverse datasets and employing cutting-edge machine learning algorithms, these studies offer profound insights into the intricate mechanisms underlying neurological diseases. From neuroimaging analysis to symptom classification and prognostic prediction, AI-driven approaches demonstrate remarkable efficacy in augmenting diagnostic accuracy and prognostic capabilities, thereby revolutionizing clinical practice and enhancing patient outcomes.