Open AccessASPECTS OF UTILIZATION AND LIMITATIONS OF ARTIFICIAL INTELLIGENCE IN DRUG SAFETY
Author(s) -
T Sujith,
Thammineni Chakradhar,
Sravani Marpaka,
K Sowmini
Publication year - 2021
Publication title -
asian journal of pharmaceutical and clinical research
Language(s) - English
Resource type - Journals
eISSN - 2455-3891
pISSN - 0974-2441
DOI - 10.22159/ajpcr.2021.v14i8.41979
Subject(s) - risk analysis (engineering) , pharmacovigilance , computer science , field (mathematics) , action (physics) , resource (disambiguation) , artificial intelligence , data science , business , drug , medicine , pharmacology , computer network , physics , mathematics , quantum mechanics , pure mathematics
Previously, it was thought that computers cannot perform the works on its own and need the human intelligence but now it is possible with the help of artificial intelligence (AI). AI has the potential to impact nearly every aspect of medical science. As pharmacovigilance (PV) deals with data concerning drug safety, it is being considered the field to be enormously transforming in near future with the emergence of AI. This article explores and gives an overall review of the researches done to implement AI technologies in PV activities. Among many of the PV activities, case processing is the most resource-consuming area, and signal detection is considered to be a poorly functioning area due to various limitations. Introducing AI will potentially fulfill the limitations in these areas and help us to use the resources in a focused way to get the real-world risk-benefit ratio for a better understanding of the safety profile of drugs and to take timely action for the well-being of people.