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Related Experiment Video

Updated: Sep 17, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

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Generative AI in peer review process for occupational health.

G H Lim1, M L Tan2, V C W Hoe3

  • 1Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549.

Occupational Medicine (Oxford, England)
|July 2, 2025
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Summary

Generative AI tools enhance academic writing proofing, proving more effective for feedback than humans. While humans excel at recommendations, AI offers significant time efficiencies for manuscript improvement.

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Area of Science:

  • Occupational Health
  • Academic Publishing
  • Artificial Intelligence

Background:

  • Generative Artificial Intelligence (AI) tools can significantly improve academic manuscript proofing.
  • This study quantifies the effectiveness and efficiency of AI in manuscript review for the first time.

Purpose of the Study:

  • To evaluate the effectiveness and efficiency of Generative AI tools in providing feedback and recommendations on occupational health manuscript drafts.
  • Comparison of AI tools (Microsoft Copilot, ChatGPT, Google Gemini 1.0) against human reviewers.

Main Methods:

  • Manuscripts were reviewed by AI tools and human reviewers in February 2024.
  • Feedback and recommendations were scored by expert panels on relevance, completeness, accuracy, and constructiveness.
  • Efficiency was measured by review time; statistical analysis was performed.

Main Results:

  • Generative AI tools were significantly more effective in providing feedback (P < 0.001).
  • Human reviewers were significantly better at providing recommendations (P < 0.01).
  • AI tools demonstrated superior time-efficiency but required output verification for accuracy.

Conclusions:

  • Generative AI can enhance manuscript speed and accuracy, improving knowledge dissemination in occupational health.
  • AI integration offers potential for greater efficiencies in the publication process.