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Correction: Effect of emphysema on AI software and human reader performance in lung nodule detection from low-dose chest CT
European Radiology Experimental volume 8, Article number: 94 (2024)
Correction to: European Radiology Experimental
https://doi.org/10.1186/s41747-024-00459-9, published online 20 May 2024
In the original article, the results section “Performance evaluation and comparison” displays two statements that the authors wish to clarify to remove ambiguity:
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1.
On page 6, “Sensitivity of AI was not significantly different for either the emphysema (p = 0.320) or the non-emphysema group (p = 0.090).”, should instead read: “Sensitivity was not significantly different between the emphysema and non-emphysema group for either AI (p = 0.80) or human reader (p = 0.54).”
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2.
On page 7, “Also, the nodule detection sensitivity in emphysema tended to be higher for AI than the human reader, but there were no significant differences for either the emphysema (p = 0.310) or the non-emphysema group (p = 1.000).” should instead read: “Also, the nodule detection sensitivity in emphysema tended to be higher for AI than the human reader, but no significant differences were found between the emphysema and the non-emphysema group for either AI (0.94) or human reader (p = 0.29).”
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Sourlos, N., Pelgrim, G., Wisselink, H.J. et al. Correction: Effect of emphysema on AI software and human reader performance in lung nodule detection from low-dose chest CT. Eur Radiol Exp 8, 94 (2024). https://doi.org/10.1186/s41747-024-00494-6
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DOI: https://doi.org/10.1186/s41747-024-00494-6