AI in Research: Technical Skills Workshop
October 3, 2025
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0 min read
Abstract
This interactive workshop introduced practical AI tools to streamline literature reviews, support data analysis, assist with writing, and more while focusing on ethical use and academic integrity.
This event was open to all WCHRI members and their trainees, but was geared towards students conducting women’s and children’s health research at the University of Alberta. The session combined hands-on activities, demos, and discussion so the attendees leave with concrete strategies and tools they can start using right away.
Whether they are new to AI or already experimenting with it, they gained insights into best practices, common pitfalls, and the latest tools shaping research today.
Location
Edmonton, AB, Canada
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.