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. Author manuscript; available in PMC: 2022 Aug 1.
Published in final edited form as: Lancet Digit Health. 2022 Apr 1;4(5):e299. doi: 10.1016/S2589-7500(22)00066-8

Correction to Lancet Digit Health 2022; 4: e256–65

PMCID: PMC9340583  NIHMSID: NIHMS1808410  PMID: 35370106

Lin A, Manral N, McElhinney P, et al. Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study. Lancet Digit Health 2022; 4: e256–65—In this Article, the final sentence of the Results should have read “The optimum cutoff for low-attenuation plaque burden was 4%; patients with a low-attenuation plaque burden of 4% or higher had a 2·5-times increased risk of myocardial infarction compared with patients with a burden below 4% (unadjusted HR 2·51, 1·38–4·73; p=0·0023; appendix p 15).” This correction has been made as of March 31, 2022.

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