Journal of Pharmacovigilance and Quality Assurance ISSN: 3108-2343 (Online)

Authors: Dr. Satish Chandra Tiwari, Dinesh Kumar2

Abstract: Pharmacovigilance, the science and activities related to the detection, assessment, understanding, and prevention of adverse effects or any other drug-related problems, is crucial for ensuring the safety of pharmaceutical products. As the volume of health-related data continues to grow, the integration of artificial intelligence (AI) and machine learning (ML) technologies has become instrumental in revolutionizing pharmacovigilance surveillance. This paper provides a comprehensive review of the impact of AI and ML in enhancing pharmacovigilance, emphasizing their applications, challenges, and future prospects.

Keywords: Pharmacovigilance, Artificial Intelligence (AI), Machine Learning (ML), Drug Safety, Signal Detection, Predictive Analytics, Natural Language Processing (NLP), Data Mining, Real-World Evidence (RWE), Personalized Medicine.