Artificial Intelligence (AI) is revolutionizing the field of pharmacy, offering innovative solutions across drug discovery, formulation development, clinical decision-making, and patient care. This review explores the multifaceted role of AI in modern pharmacy, highlighting its applications in drug design, predictive modeling, precision medicine, and pharmaceutical supply chains. Machine learning algorithms, natural language processing, and data analytics have accelerated processes such as compound screening, pharmacovigilance, and personalized therapy development. Furthermore, AI enhances clinical outcomes through automated systems in medication dispensing, adherence monitoring, and health informatics integration. Despite its transformative potential, the implementation of AI in pharmacy also poses ethical, regulatory, and technical challenges that require careful navigation. This review outlines current advancements, evaluates real-world use cases, and discusses future prospects of AI in pharmaceutical sciences and healthcare systems.
*Sayali Chinchawade (2026) studied this question.