ASPECTS OF UTILIZATION AND LIMITATIONS OF ARTIFICIAL INTELLIGENCE IN DRUG SAFETY

Autor:	Chakradhar T, Sujith T, Sowmini K, Sravani Marpaka
Rok vydání:	2021
Předmět:	Pharmacology Drug Risk analysis (engineering) Computer science media_common.quotation_subject Pharmaceutical Science Pharmacology (medical) media_common
Zdroj:	Asian Journal of Pharmaceutical and Clinical Research. :34-39
ISSN:	2455-3891 0974-2441
DOI:	10.22159/ajpcr.2021.v14i8.41979
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::bf776029b68259c21210563625cf73a3 https://doi.org/10.22159/ajpcr.2021.v14i8.41979 Zobrazit plný text záznamu