Paper Key : IRJ************799
Author: Boddula Mounisha
Date Published: 18 Mar 2024
Abstract
AI (XAI) is a methodology that complements the black box of artificial intelligence, and its necessity has recently been highlighted in various fields. The purpose of this research is to identify studies in the field of pharmacovigilance using XAI. AI can improve the efficiency and accuracy of signal detection, enabling pharmacovigilance teams to prioritize and investigate according to patient illness like diabetic retinopathy and chronic disease and take most important safety concerns. As technology continues to advance, it is important for healthcare providers and researchers to continue exploring the potential benefits and limitations of AI in pharmacovigilance in order to maximize its impact on patient safety. Finally, key challenges for several research issues for the use of XAI in pharmacovigilance were identified. Although artificial intelligence (AI) is actively used in drug surveillance and patient safety, gathering adverse drug reaction information, extracting drug-drug interactions, and predicting effects, XAI is not normally utilized.
DOI LINK : 10.56726/IRJMETS50110 https://www.doi.org/10.56726/IRJMETS50110