The Intersection of Artificial Intelligence with Pharma and Biochemistry: Implications of CHATGPT in Scientific Research

Abstract

By means of this document, it was possible to analyze the main characteristics of the volume of scientific production related to the study of the variables Artificial Intelligence and Pharmacy. A bibliometric analysis was proposed to analyze details such as Year of Publication, Country of Origin of the publication, Area of Knowledge in which the published research is carried out and the Type of Publication most frequently used by the authors of each document published in high-impact journals indexed in the Scopus database during the period between 2017 and 2022. Among the main findings, it was possible to determine that, for the execution of the different research methodologies, the report of 202 scientific documents related to the study of the use of AI in the area of Pharmacy and Biochemistry was achieved. The maximum number of publications made in a year was 56 papers submitted in 2022. The country of origin of the institutions that reported the highest number of records in Scopus was the United States, with 44 documents. The area of knowledge with the greatest influence at the time of executing the research projects that resulted in scientific publications was Medicine, which contributed great theoretical material in a total of 93 publications. Finally, the type of publication most frequently used to publicize findings from the analysis of the aforementioned variables was the Journal Article, which represented 39% of the total scientific production.