Commentary Research and Evidence Ethics, Regulation, and Responsible Use

Stop pretending AI peer review isn’t happening

April 21, 2026 By Editor-in-Chief: Johnson Thomas, MD, FACE, FEAA 8 min read
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5 Key Takeaways

  • 1

    The peer review system faces challenges like reviewer shortages and biases, prompting the need for improvements.

  • 2

    AI has potential to enhance peer review, yet its use is currently prohibited by major organizations like NIH and Science.

  • 3

    Studies show AI can improve review quality by providing actionable feedback, increasing reviewer engagement, and maintaining acceptance rates.

  • 4

    AI excels in objective evaluations, allowing human reviewers to focus on subjective judgments, thus optimizing the review process.

  • 5

    A collaborative model combining AI and human reviewers could address current inefficiencies and enhance the overall quality of scientific evaluations.

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