Artificial Intelligence in Neurology and Neuro-Ophthalmology: Current Applications and Future Directions

Artificial intelligence (AI) is revolutionizing neuro-ophthalmology by enhancing diagnostic accuracy and clinical decision-making. Techniques like deep learning, convolutional neural networks, and transfer learning effectively detect conditions such as optic neuropathies, papilledema, and glaucoma through imaging analysis. AI also supports patient triage, monitors disease progression, and streamlines workflows. However, challenges remain, including limited datasets, validation issues, algorithmic bias, and ethical concerns. As AI technologies advance and integrate into clinical practice, they have the potential to improve diagnosis, reduce disparities, and transform neuro-ophthalmology, offering promising future directions for this rapidly evolving field.