ABSTRACT:
This review systematically explore the evolving role of artificial intelligence ,in pharmacovigilance, synthesizing current application that harness its potential for efficiency and insights, while critically examine the key challenges that requires careful governance to navigate the associated risk. Pharmacovigilance (PV) system is crucial for insuring drug safety, but they face increasing pressure from the exponential growth of complex, diverse data sources (ex. Electronic health records, spontaneous repots and social media). Artificial intelligence (AI) has become a game changer in pharmacovigilance (PV). AI methods, including natural language processing (NLP), machine learning (ML), and deep learning (DL), allow for automated case handling, signal detection, adverse drug reaction (ADR) forecasting, and risk management. This review discusses how AI has evolved, its applications, benefits, and limitations in pharmacovigilance, as well as future directions for promoting safe and effective medication use.