Introduction: Artificial Intelligence (AI) is rapidly reshaping healthcare education, particularly in pharmacy, by supporting adaptive learning systems, enhancing clinical simulations, and improving learner engagement. This review investigates the evolution of AI in pharmacy education, its current implementations, and emerging trends. Methods: A systematic review of literature was conducted using PubMed, Scopus, and Google Scholar to identify peer-reviewed studies from 2015 to July 2025. Search terms included “artificial intelligence,” “pharmacy education,” “adaptive learning,” and “virtual patient simulation.” Articles were selected based on relevance to the integration of AI in pharmacy education, and findings were synthesized to outline key technologies, implementation approaches, benefits, challenges, and illustrative case studies. Conclusion: AI offers promising opportunities to enhance pharmacy education through personalized instruction, realistic simulation experiences, and intelligent academic support. However, its adoption also presents notable challenges, including concerns around ethical use, data protection, and equitable access to technology. For educators, curriculum developers, and policymakers, understanding both the advantages and limitations of AI is crucial. Future progress will depend on cross-disciplinary collaboration and continuous evaluation to ensure AI-driven innovations align with educational goals and uphold learner-centered values.
Patil et al. (Wed,) studied this question.