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Abstract

REVOLUTIONIZING DRUG SAFETY: THE ROLE OF AI IN PHARMACOVIGILANCE

Vishal Pandey*, Fozia Khanum, Alfisha, Manmohan Singhal, Neeraj Kumar Sethiya and Bhavna Kumar

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Abstract

This article investigates the use of artificial intelligence (AI) in pharmacovigilance, the process of monitoring and evaluating the safety of medications. The use of AI in pharmacovigilance can improve the efficiency and accuracy of adverse drug event detection, signal identification, and risk management. Machine learning algorithms have the ability to analyse massive volumes of data from diverse sources, such as electronic health records, social media, and other digital platforms, to identify potentially harmful occurrences and patterns. AI can also aid in signal validation, prioritization, and assessment. However, challenges remain, including data quality, regulatory requirements, and ethical considerations. Despite these challenges, the integration of AI in pharmacovigilance is expected to continue to grow, providing new opportunities for improved patient safety and drug development.

Keywords: Artificial intelligence, Pharmacovigilance, Adverse drug reactions, Machine learning, Patient safety.


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