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AI beats human sleuth at finding problematic images in research papers [nature.com]:

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" rel="url2html-1259245">https://doi.org/10.1038/d41586-023-02920-y

1. David, S. Preprint at bioRxiv https://doi.org/10.1101/2023.09.03.556099 [doi.org] (2023).

2. Bik, E. M., Casadevall, A. & Fang, F. C. mBio7, e00809-16 (2016).

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Journal Reference:
Sholto David. A Quantitative Study of Inappropriate Image Duplication in the Journal Toxicology Reports [$], bioRxiv (DOI: 10.1101/2023.09.03.556099 [doi.org])
The Prevalence of Inappropriate Image Duplication in Biomedical Research Publications, mBio (DOI: 10.1128%2FmBio.00809-16 [doi.org])

Original Submission