Applications of AI in Medicine: Practical Use-Cases in Psychiatry
November 12, 2024
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1 min read
Abstract
This invited talk surveyed high-yield AI use-cases in psychiatry (including risk prediction, triage, phenotyping, and
language-model-enabled workflows) and the evidence standards needed for responsible adoption.
Location
Calgary, AB, Canada
Invited University of Calgary Psychiatry Grand Rounds presentation on practical AI applications in psychiatry and how to evaluate the supporting evidence.
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.