The Synthetic Image Crisis in Science

Enrico M Bucci¹, Angelo Parini^{2

3}

Affiliations

¹ Department of Biology, Sbarro Institute - Temple University, Philadelphia, Pennsylvania, USA.
² Institut Hospitalo-Universitaire (IHU) HealthAge, Toulouse, France.
³ Institute of Metabolic and Cardiovascular Diseases (I2MC), INSERM, University of Toulouse, UPS, Toulouse, France.

Editorial

Enrico M Bucci et al. Am J Hematol. 2025 Jul.

. 2025 Jul;100(7):1114-1117.

doi: 10.1002/ajh.27697. Epub 2025 Apr 28.

Enrico M Bucci¹, Angelo Parini^{2

3}

¹ Department of Biology, Sbarro Institute - Temple University, Philadelphia, Pennsylvania, USA.
² Institut Hospitalo-Universitaire (IHU) HealthAge, Toulouse, France.
³ Institute of Metabolic and Cardiovascular Diseases (I2MC), INSERM, University of Toulouse, UPS, Toulouse, France.

No abstract available

Keywords: artificial intelligence; images; manipulation.

References

1. ORI ‐ The Office of Research Integrity USA, “NOT‐OD‐16‐040 ‐ Findings of Research Misconduct Issued by Department of Health and Human Services,” 2015, https://grants.nih.gov/grants/guide/notice‐files/NOT‐OD‐16‐040.html.
1. J. Gu, X. Wang, C. Li, et al., “AI‐Enabled Image Fraud in Scientific Publications,” Patterns 3 (2022): 100511.
1. B. E. Fan, N. T. E. Kwok, D. T. Y. Chen, et al., “Artificial Intelligence‐Generated Peripheral Blood Film Images Using Generative Adversarial Networks and Diffusion Models,” American Journal of Hematology 98 (2023): 1499–1502.
1. C. Chauhan and G. Currie, “The Impact of Generative Artificial Intelligence on Research Integrity in Scholarly Publishing,” American Journal of Pathology 194 (2024): 2234–2238.
1. J. Hartung, S. Reuter, V. A. Kulow, M. Fähling, C. Spreckelsen, and R. Mrowka, “Experts Fail to Reliably Detect AI‐Generated Histological Data,” Scientific Reports 14 (2024): 28677.