Generative AI in peer review process for occupational health.

ABSTRACT:

Background

Generative Artificial Intelligence (AI) tools in academic writing can augment and speed up the proofing process by improving sections of the manuscript. This was the first known instance where the effectiveness and efficiency of Generative AI were quantified.

Aims

To determine the effectiveness and efficiency of these tools in providing feedback and recommendations to the first drafts of eight published occupational health papers.

Methods

To assess effectiveness, manuscripts were reviewed by Microsoft Copilot, ChatGPT (GPT-3.5), Google Gemini 1.0 and five human reviewers in February 2024. Anonymized reviews were scored by two expert panel members using a self-developed structured scoring system. The quality of feedback was rated on its relevance, completene

SUBMITTER: Lim GH 

PROVIDER: S-EPMC12370398 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature