This review discusses the application of AI in drug safety and efficacy assessment, highlighting its potential to improve clinical trial outcomes. AI techniques analyze vast datasets to predict adverse events, treatment responses, and operational risks. Despite high performance in studies, challenges such as data bias and limited generalizability remain. Addressing these issues can enhance drug development efficiency and patient safety. AI is poised to play a crucial role in future pharmacovigilance and personalized medicine.
Patidar* et al. (Mon,) studied this question.