AI in Ophthalmology
December 1, 2025
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1 min read
What problem are we solving?
The reasoning landscape of the generative AI tools within ophthalmology are understudied.
What we are doing
Evaluating the reasoning capabilities of large language models in ophthalmology.
Authors
Ehsan Misaghi
(he/him)
Clinician-Scientist Trainee
Ehsan Misaghi is an MD/PhD Candidate at the University of Alberta working at the intersection of ophthalmology, genetics, and artificial intelligence.
His research focuses on inherited retinal disease and genotype–phenotype correlations in ocular disease, with an emphasis on mechanistic insight and translational relevance.
Alongside research, he builds and evaluates practical AI tools for clinical and educational settings, and he leads medical AI education, research, and community-building through the AI in Medical Systems Society (AIMSS) and related initiatives.
His goal is to advance rigorous, clinically useful research and translate it into improved diagnostics, care pathways, and responsible innovation.