The integration of artificial intelligence (AI) is significantly transforming clinical, community, and hospital pharmacy practices. This review categorizes AI applications into six stages: basic, intermediate, sophisticated, localized, multidisciplinary, and pervasive, reflecting their diverse impacts on pharmacy practice. At the basic stage, AI automates routine tasks such as data entry and prescription management. Intermediate applications use predictive analytics to enhance drug interaction screening and therapeutic outcomes. Sophisticated AI involves advanced algorithms for drug discovery and personalized medicine. Localized AI applications, such as adherence tracking tools in community pharmacies, focus on specific operational needs. Multidisciplinary AI integrates data from various sources to improve patient safety and care across different healthcare settings. Pervasive AI represents a comprehensive integration into all facets of pharmacy, facilitating intelligent and seamless interactions between technology and healthcare. Artificial intelligence is improving pharmacy practices by facilitating drug discovery, enhancing patient safety, and supporting medication adherence. In clinical settings, AI enables tailored medication management through detailed data analysis. Community pharmacies use AI to monitor patient adherence and reduce adverse drug events. Hospital pharmacies benefit from AI in anticipating drug shortages and optimizing inventory management. Future advancements in AI are expected to further decrease costs, enhance efficiency, and enable more personalized care through sophisticated data analysis and AI-powered drug discovery. To fully utilize these advancements, ongoing AI education and training for pharmacists are essential. Overall, AI promises to revolutionize pharmacy practice, improving patient care and the effectiveness of the healthcare system.

Keywords: AI, Artificial Intelligence, cost-effective, adverse drug events, catalyst, patient adherence