ARTIFICIAL INTELLIGENCE - REVOLUTIONIZING CLINICAL TRIAL PROCESS Authors: Juneja A , CHATURVEDI S, SHRIVASTAV S* , DHAR H AND BERI A
ABSTRACT
Artificial intelligence (AI) is a term that refers to the use of computers and technologies to
replicate intelligent human behavior and critical thinking in a way that is equivalent to that of a
human. John McCarthy coined the term AI in 1956, which he defined as "the science and
engineering of creating intelligent machines." To solve not just particular but also complicated
issues, artificial intelligence (AI) employs personalised information and learns from the solution
it produces. Incredible advances in computer capacity, along with advances in AI technology,
have the potential to change the healthcare industry. The amount of health and 'omics-related
data' produced and stored has increased dramatically during the last several decades. In clinical
trials, patient data may be gathered in real time and analysed using a variety of artificial
intelligence (AI) techniques; mobile devices can also be utilized to improve aspects of disease
diagnosis and treatment. Furthermore, AI may be employed in the discovery of novel
pharmaceuticals or drug repurposing, as well as in the rapid detection and treatment of various
ailments, as well as in the identification of data-driven hypotheses for researchers. In this article,
we look at how artificial intelligence is beginning to transform the field of life sciences.
Keyword: Artificial intelligence, Clinical trials, Deep learning, Drug Development,
Machine learning Publication date: 01/12/2022 https://ijbpas.com/pdf/2022/December/MS_IJBPAS_2022_6545.pdfDownload PDFhttps://doi.org/10.31032/IJBPAS/2022/11.12.6545