Pharmacists and AI: A Collaborative Future in Patient Care

Abstract

The integration of Artificial Intelligence (AI) tools in the pharmacy field has revolutionized drug discovery, clinical decision-making, personalized medicine, and pharmaceutical operations. This review article explores the significance, impact, and knowledge of AI in pharmacy, highlighting its transformative potential in enhancing efficiency, accuracy, and patient care. AI-driven technologies, including machine learning (ML), deep learning (DL), and natural language processing (NLP), are being utilized for drug repurposing, predictive analytics, adverse drug reaction monitoring, and automated dispensing systems. The significance of AI lies in its ability to analyze vast datasets, accelerate research, and optimize treatment protocols. The impact of AI is evident in improved medication adherence, reduced errors, cost-effective drug development, and precision medicine. However, challenges such as data privacy, regulatory compliance, and the need for interdisciplinary expertise remain critical considerations. This article also assesses the current knowledge gaps and future prospects of AI in pharmacy, emphasizing the need for continuous education and collaboration between pharmacists, data scientists, and policymakers. By harnessing AI’s potential, the pharmacy sector can achieve groundbreaking advancements in healthcare delivery and therapeutic outcomes