Neuro-ophthalmology involves complex interactions between the visual system and neurological pathways, requiring detailed clinical assessment and interpretation of multiple diagnostic findings. Artificial intelligence may provide new computational approaches for analyzing imaging, visual-field data, clinical records, and other information relevant to neuro-ophthalmic disorders.
This session will explore AI applications in optic neuropathies, visual pathway disorders, optic-disc abnormalities, visual-field analysis, and other neuro-ophthalmic conditions. Discussions will examine machine-learning approaches for identifying patterns that may support differential diagnosis and disease monitoring.
The session will also address the challenges of limited datasets, disease complexity, interpretability, and clinical validation. Experts will consider how AI can assist specialists in integrating diverse clinical information while preserving the importance of comprehensive neurological and ophthalmic evaluation.