Future lung cancer prediction using low-dose chest computed tomography
- PMID: 37577305
- PMCID: PMC10413016
- DOI: 10.21037/tlcr-23-235
Future lung cancer prediction using low-dose chest computed tomography
Keywords: Lung cancer (LC); computed tomography; deep learning.
Conflict of interest statement
Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://tlcr.amegroups.com/article/view/10.21037/tlcr-23-235/coif). The authors have no conflicts of interest to declare.
Comment on
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Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography.J Clin Oncol. 2023 Apr 20;41(12):2191-2200. doi: 10.1200/JCO.22.01345. Epub 2023 Jan 12. J Clin Oncol. 2023. PMID: 36634294 Free PMC article.
References
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- International Agency for Research on Cancer. 15-Lung-fact-sheet. 2020. Available online: https://gco.iarc.fr/today/data/factsheets/cancers/15-Lung-fact-sheet.pdf
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