The Evolution of Artificial Intelligence in Medical Informatics: A Bibliometric Analysis

3Citations
Citations of this article
12Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Artificial intelligence (AI) and medical informatics research fields have considerable overlap, with technologies supporting different health issues in different contexts. In this work, we aimed to map out and understand the contributions of AI in medical informatics over time. To that, we applied bibliometric analysis with scientific literature since the 1970s. The production of papers exponentially increased over time, and we found periods with similar characteristics of the content. We also identified different clusters of technologies and applications varying according to the periods and related keywords. We hypothesized some future directions for the use of AI in medical informatics.

Cite

CITATION STYLE

APA

Penteado, B. E., Fornazin, M., & Castro, L. (2021). The Evolution of Artificial Intelligence in Medical Informatics: A Bibliometric Analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12981 LNAI, pp. 121–133). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-86230-5_10

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free