Role of sex in lung cancer risk prediction based on single low-dose chest computed tomography
Role of sex in lung cancer risk prediction based on single low-dose chest computed tomography
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London: Nature Publishing Group UK
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Language
English
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London: Nature Publishing Group UK
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Contents
A validated open-source deep-learning algorithm called Sybil can accurately predict long-term lung cancer risk from a single low-dose chest computed tomography (LDCT). However, Sybil was trained on a majority-male cohort. Use of artificial intelligence algorithms trained on imbalanced cohorts may lead to inequitable outcomes in real-world settings....
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Role of sex in lung cancer risk prediction based on single low-dose chest computed tomography
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TN_cdi_doaj_primary_oai_doaj_org_article_8da84f841e364dc3a6bb10eb8b981e85
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8da84f841e364dc3a6bb10eb8b981e85
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-023-45671-6
