Role of sex in lung cancer risk prediction based on single low-dose chest computed tomography

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 le...

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Detalles Bibliográficos
Autores principales: Simon, Judit, Mikhael, Peter, Tahir, Ismail, Graur, Alexander, Ringer, Stefan, Fata, Amanda, Jeffrey, Yang Chi-Fu, Shepard, Jo-Anne, Jacobson, Francine, Barzilay, Regina, Sequist, Lecia V., Pace, Lydia E., Fintelmann, Florian J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10616081/
https://www.ncbi.nlm.nih.gov/pubmed/37903855
http://dx.doi.org/10.1038/s41598-023-45671-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10616081/
https://www.ncbi.nlm.nih.gov/pubmed/37903855
http://dx.doi.org/10.1038/s41598-023-45671-6

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