Artificial intelligence (AI) is transforming neurology by enhancing diagnosis, treatment, and research. AI algorithms analyze vast data to detect neurological disorders, improve diagnostic accuracy, and optimize treatment plans. AI excels in neuroimaging, identifying abnormalities in brain scans and tracking changes over time. It also aids in brain-computer interfaces (BCIs), enabling communication for individuals with severe neurological impairments. AI's integration into neurology has revolutionized care, offering personalized treatment strategies and improving patient outcomes. AI-driven simulations predict treatment outcomes, while machine learning models assist in early disease detection and personalized medicine. However, challenges such as data quality, ethical concerns, and ensuring AI's generalizability across diverse populations remain. Despite these challenges, AI holds immense potential to reshape neurological healthcare, improving precision, efficiency, and patient care. The synergy between AI and neurology promises a future where technology and compassion converge to deliver better care for patients with neurological disorders. AI's role in neurology is expanding, with applications in drug development, research, and clinical decision-making. As AI technologies advance, they will continue to unlock new insights into the complexities of neurological disorders, leading to improved quality of life for patients.Artificial intelligence (AI) is transforming neurology by enhancing diagnosis, treatment, and research. AI algorithms analyze vast data to detect neurological disorders, improve diagnostic accuracy, and optimize treatment plans. AI excels in neuroimaging, identifying abnormalities in brain scans and tracking changes over time. It also aids in brain-computer interfaces (BCIs), enabling communication for individuals with severe neurological impairments. AI's integration into neurology has revolutionized care, offering personalized treatment strategies and improving patient outcomes. AI-driven simulations predict treatment outcomes, while machine learning models assist in early disease detection and personalized medicine. However, challenges such as data quality, ethical concerns, and ensuring AI's generalizability across diverse populations remain. Despite these challenges, AI holds immense potential to reshape neurological healthcare, improving precision, efficiency, and patient care. The synergy between AI and neurology promises a future where technology and compassion converge to deliver better care for patients with neurological disorders. AI's role in neurology is expanding, with applications in drug development, research, and clinical decision-making. As AI technologies advance, they will continue to unlock new insights into the complexities of neurological disorders, leading to improved quality of life for patients.