Artificial Intelligence (AI) In Pharmacy

Abstract

Artificial Intelligence (AI) has emerged as a transformative technology in the pharmaceutical and healthcare sectors, offering significant improvements in efficiency, accuracy, and patient outcomes. This review explores the current and future applications of AI in pharmacy practice, drug discovery, and healthcare delivery. By leveraging machine learning, deep learning, and automation, AI enables the analysis of vast datasets to accelerate drug development, optimize clinical trials, and personalize treatment plans. The article highlights key AI tools, including robotic pharmacy systems for automated dispensing and AI-driven diagnostic models in radiology, cardiology, and ophthalmology. Furthermore, it examines the evolving role of pharmacists, who are shifting from routine dispensing tasks to patient-centric clinical services supported by predictive analytics. While AI presents immense opportunities to reduce medication errors and operational costs, challenges such as data privacy, algorithmic bias, and the need for regulatory frameworks remain. The review concludes that the integration of AI is not merely an enhancement but a fundamental reshaping of pharmacy practice, necessitating new educational curricula and hybrid workflows where human expertise complements computational intelligence.

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