Mapping the Bibliometrics Landscape of AI in Medicine: Methodological Study.

ABSTRACT:

Background

Artificial intelligence (AI), conceived in the 1950s, has permeated numerous industries, intensifying in tandem with advancements in computing power. Despite the widespread adoption of AI, its integration into medicine trails other sectors. However, medical AI research has experienced substantial growth, attracting considerable attention from researchers and practitioners.

Objective

In the absence of an existing framework, this study aims to outline the current landscape of medical AI research and provide insights into its future developments by examining all AI-related studies within PubMed over the past 2 decades. We also propose potential data acquisition and analysis methods, developed using Python (version 3.11) and to be executed in Spyder IDE (version 5.4.3

SUBMITTER: Shi J 

PROVIDER: S-EPMC10746970 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature