Affiliation Bias in Peer Review of Abstracts by a Large Language Model-Reference-Cited by-同舟云学术

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Affiliation Bias in Peer Review of Abstracts by a Large Language Model

Published:2024-01-16 Issue:3 Volume:331 Page:252
ISSN:0098-7484
Container-title:JAMA
language:en
Short-container-title:JAMA

Author:

von Wedel Dario¹,Schmitt Rico A.²,Thiele Moritz²,Leuner Raphael²,Shay Denys³,Redaelli Simone¹,Schaefer Maximilian S.¹

Affiliation:

1. Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts

2. Berlin Exchange Medicine e.V., Charité–Universitätsmedizin Berlin, Berlin, Germany

3. Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts

Abstract

This study assesses affiliation bias in peer review of medical abstracts by a commonly used large language model.

Publisher

American Medical Association (AMA)

Subject

General Medicine

Link

https://jamanetwork.com/journals/jama/articlepdf/2813511/jama_von_wedel_2023_ld_230083_1704388773.37789.pdf

Reference6 articles.

1. Stop the peer-review treadmill: I want to get off.;Dance;Nature,2023

2. Guidance for authors, peer reviewers, and editors on use of AI, language models, and chatbots.;Flanagin;JAMA,2023

3. Fighting reviewer fatigue or amplifying bias? considerations and recommendations for use of ChatGPT and other large language models in scholarly peer review.;Hosseini;Res Integr Peer Rev,2023

4. Effect of blinded peer review on abstract acceptance.;Ross;JAMA,2006

5. Evaluating the application of large language models in clinical research contexts.;Perlis;JAMA Netw Open,2023

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1. Generative AI-assisted Peer Review in Medical Publications: Opportunities Or Trap (Preprint);2024-09-02

2. Assessing ChatGPT's ability to emulate human reviewers in scientific research: A descriptive and qualitative approach;Computer Methods and Programs in Biomedicine;2024-09

3. Author's reply: AI in medicine, bridging the chasm between potential and capability;Digestive and Liver Disease;2024-06

4. The Evaluation of Generative AI Should Include Repetition to Assess Stability;JMIR mHealth and uHealth;2024-05-06

5. Affiliation Bias in Peer Review of Abstracts;JAMA;2024-04-09

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