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February 10, 2026Health Affairs Scholar5 citationsOpen Access

Using AI to Improve Peer-review and Research Integrity in Scientific Journals

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HBH. BauchnerFRF. Rivara

Key Points

  • The aim is to explore how AI can improve the efficiency and effectiveness of peer-review and uphold research integrity.
  • Reviewed current challenges in peer-review processes
  • Analyzed AI technologies applicable to editorial tasks
  • Evaluated potential impacts of AI on research integrity
  • Identified significant inefficiencies and biases in current peer-review processes
  • Demonstrated AI can assist with manuscript evaluations
  • Highlighted the need for AI to address integrity issues in scientific publications

Abstract

Abstract Peer-review is inefficient, biased, and often ineffective. However, its importance in maintaining research integrity, at a time when the public has less faith in science, is clear, since journals are the principal conduit for communicating the results of research to the scientific community and the public. Given the number of published manuscripts in the biomedical sciences now exceeds 3M per year it is no longer possible for human editorial and peer-review alone to ensure integrity. New approaches are needed, including the use of AI to assist in editorial and peer-review.

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Cite This Study

Bauchner et al. (2026) studied this question.

synapsesocial.com/papers/698acaf07c832249c30ba9b5https://doi.org/10.1093/haschl/qxag028
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