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.
Recent Publications
Deliberative multi-agent large language models improve clinical reasoning in ophthalmology
arXiv
(2026)
Mentorship Needs and Satisfaction of MD-PhD and MD-MSc Trainees with Marginalized Identities: The Canadian Experience.
BMC medical education
(2025)
Genetic Variants in PIKFYVE: A Review of Ocular Phenotypes.
Experimental eye research
(2025)
Curved Multiplanar Reformatting Allows the Accurate Histological Delineation of Hippocampal Subfields.
Hippocampus
(2024)
Training Outcomes and Satisfaction in Canadian MD/PhD and MD/MSc Programs: Findings from a National Survey.
Clinical and investigative medicine. Medecine clinique et experimentale
(2024)
Latest Presentations/Talks/Lectures
AI-Enhanced Teaching: Fostering Reflection in Health Education
2025-12-10
Twists and Turns: What Retinal Vessel Tortuosity is Trying to Tell Us
2025-12-05
Fostering Critical AI Literacy and Collaborative Practice in Interprofessional Education
2025-11-01
Integrating Generative AI into Authentic Learning Experiences in Health Professional Education
2025-10-29
AI in Research: Technical Skills Workshop
2025-10-03