An Overview of Artificial Intelligence and Explainability in Pharmacovigilance

Abstract

Artificial intelligence (AI) technologies have recently played an essential role in the health sector. One of the most important uses of these technologies is determining drug side effects. The purpose of side-effect studies is to increase the safety and effectiveness of drugs. Early detection of side effects can provide patients with a better treatment option and a better roadmap for healthcare providers. Therefore, side-effect studies are an essential tool for the healthcare industry. Drug side effects can be a serious problem for patients, and in some cases, even life-saving drugs can become unusable due to their side effects. Therefore, early detection and prevention of side effects are vital. Artificial intelligence and explainable artificial intelligence (XAI) technologies provide faster, more accurate, transparent, and explainable results compared to traditional methods of determining the side effects of drugs. These technologies can detect the side effects of drugs by analyzing large amounts of data and can also be used in developing new drugs. With the use of these technologies, the determination of drug side effects can be performed more quickly and effectively. These technologies also eliminate the limitations encountered in traditional methods used to detect the side effects of drugs.