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A scoping review of artificial intelligence within pharmacy education
May H Abdel Aziz1, Casey Rowe2, Robin Southwood3
1University of Texas at Tyler, Ben and Maytee Fisch College of Pharmacy, Department of Pharmaceutical Sciences and Health Outcomes, Tyler, TX, USA.
Objectives:
This scoping review aimed to summarize the available literature on the use of artificial intelligence (AI) in pharmacy education and identify gaps where additional research is needed.
Findings:
Seven studies specifically addressing the use of AI in pharmacy education were identified. Of these 7 studies, 5 focused on AI use in the context of teaching and learning, 1 on the prediction of academic performance for admissions, and the final study focused on using AI text generation to elucidate the benefits and limitations of ChatGPT use in pharmacy education.
Summary:
There are currently a limited number of available publications that describe AI use in pharmacy education. Several challenges exist regarding the use of AI in pharmacy education, including the need for faculty expertise and time, limited generalizability of tools, limited outcomes data, and several legal and ethical concerns. As AI use increases and implementation becomes more standardized, opportunities will be created for the inclusion of AI in pharmacy education.
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