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AI-generated images pose new challenges to scientific integrity by creating realistic but fabricated data that traditional detection and peer-review methods may miss. Researchers must scrutinize published images, report anomalies objectively, and support post-publication review to maintain trust. This requires awareness of current tool limitations and the evolving risks of accessible generative technologies in bioscience research.
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