Research Letter

Invisible Text Injection and Peer Review by AI Models

JAMA Network Open 10.1001/jamanetworkopen.2025.52099

January 16, 2026 at 11:00 AM EST

Read the full article

This quality improvement study assesses the vulnerability of leading commercial large language models to invisible text injection manipulation in simulated medical peer review.

Corresponding Author: Jungyo Suh, MD, Department of Urology, Asan Medical Centre, Ulsan University College of Medicine 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (uro_jun@amc.seoul.kr).

Link to the article in your story

We encourage you to link out to this article in your story using the link below. It includes an access token that will give free access to the article for your readers up to one year after publication. (The link will be live after the article publishes and embargo is lifted.)

Please see the article for additional information, including full author list, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.

Need more information? Contact us.

Editor's Picks