AI in peer review: can artificial intelligence be an ally in reducing gender and geographical gaps in peer review? A randomized trial.

ABSTRACT:

Background

Gender and geographical disparities have been widely reported in the peer-review process of biomedical journals. Artificial Intelligence (AI) is increasingly transforming the publishing system; however, its potential to identify suitable reviewers, and whether it might reduce, replicate or reinforce existing biases in peer review has never been comprehensively investigated. This study sought to determine the usefulness of AI in identifying expert scientists in medicine taking into consideration gender and geographical diversity, equity and inclusion (DEI).

Methods

The title and abstract of 50 research articles published in high-impact biomedical journals between November 2023 and September 2024 were fed into a large language model software (GPT-4o), which was prom

SUBMITTER: Teixeira AL 

PROVIDER: S-EPMC12557967 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature