The use of artificial intelligence for automating or semi-automating biomedical literature analyses: A scoping review.

Journal: Journal of biomedical informatics
Published Date: May 13, 2023

Abstract

OBJECTIVE: Evidence-based medicine (EBM) is a decision-making process based on the conscious and judicious use of the best available scientific evidence. However, the exponential increase in the amount of information currently available likely exceeds the capacity of human-only analysis. In this context, artificial intelligence (AI) and its branches such as machine learning (ML) can be used to facilitate human efforts in analyzing the literature to foster EBM. The present scoping review aimed to examine the use of AI in the automation of biomedical literature survey and analysis with a view to establishing the state-of-the-art and identifying knowledge gaps.

Authors

  • Álisson Oliveira Dos Santos
    Federal University of São João del-Rei, Campus Centro-Oeste Dona Lindu, Divinópolis, Minas Gerais, Brazil. Electronic address: alissonmfc@ufsj.edu.br.
  • Eduardo Sérgio da Silva
    Laboratório de Parasitologia e Doenças Parasitárias, Campus Centro-Oeste Dona Lindu, Universidade Federal de São João Del-Rei (UFSJ), Divinopolis, MG, Brazil.
  • Letícia Machado Couto
    Federal University of São João del-Rei, Campus Centro-Oeste Dona Lindu, Divinópolis, Minas Gerais, Brazil.
  • Gustavo Valadares Labanca Reis
    Federal University of Ouro Preto, School of Medicine, Campus Morro do Cruzeiro, Ouro Preto, Minas Gerais, Brazil.
  • Vinícius Silva Belo
    Federal University of São João del-Rei, Campus Centro-Oeste Dona Lindu, Divinópolis, Minas Gerais, Brazil. Electronic address: viniciusbelo@ufsj.edu.br.

Keywords

External Resources

Popular Topics
Recent Journals