ArticleArchives of toxicology2026
AIComet: a reliable automated scoring program for DNA damage assessment in the comet assay.
Article in Archives of toxicology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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9 authors.
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Abstract
The alkaline comet assay is widely used to assess genotoxicity in biomonitoring studies but lacks standardized scoring system and shows high inter-laboratory variability. Visual scoring is time-consuming, operator-dependent, and limited in sensitivity to low DNA damage levels. We developed a fully automated, open-access scoring model for comet assay analysis to address these limitations. The AIComet model performances were assessed and the model was compared to manual scoring performed in-house on the lymphocytes of 327 healthy volunteers, and compared to visual scoring by 11 trained investigators on open-access images from (Møller et al. 2023). The influence of a larger number of nuclei scored on the sensitivity of the results was evaluated. AIComet showed excellent results for comet classification and detection. Correlation with manual scoring by our laboratory investigator was excellent with a y = 1.02x - 0.155 linear regression equation and 0.92 R
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