aspg-41-4503-1792223364 20261017074924 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Metaheuristic Optimization Review MOR 3066-280X 2026 7 2 Ahmed Abdelfatah Department of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmacy, Mansoura University, Mansoura 35516, Egypt Drug classification in clinical pharmacy is increasingly important for organizing medication knowledge, supporting therapeutic decisions, and improving patient-centered pharmaceutical care. As healthcare data become more complex, traditional rule-based classification approaches may be insufficient for interpreting heterogeneous drugrelated information, including medication histories, molecular descriptors, clinical indicators, adverse-event records, prescription patterns, and patient-specific risk factors. This review examines how artificial intelligence, machine learning, deep learning, feature selection, optimization, and decision-support systems contribute to drug classification in clinical pharmacy. The review discusses the role of intelligent models in medication safety assessment, drug–drug interaction monitoring, personalized therapy, pharmacy-service planning, and operational medication management. It also highlights major challenges related to data quality, interpretability, generalizability, workflow integration, and ethical implementation. Overall, intelligent drug classification can strengthen clinical pharmacy practice when computational models are transparent, clinically meaningful, and aligned with professional pharmaceutical judgment. 2026 13 27 4503 https://creativecommons.org/licenses/by/4.0/ 10.54216/MOR.070202 https://americaspg.com/journal/41/article/4503 https://americaspg.com/storage/articles/manuscripts/01M2K9JBTJNBVN9MSMXRB0YV9B.pdf