Confounders mediate AI prediction of demographics in medical imaging

Deep learning has been shown to accurately assess “hidden” phenotypes from medical imaging beyond traditional clinician interpretation. Using large echocardiography datasets from two healthcare systems, we test whether it is possible to predict age, race, and sex from cardiac ultrasound images using...

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Detalles Bibliográficos
Autores principales: Duffy, Grant, Clarke, Shoa L., Christensen, Matthew, He, Bryan, Yuan, Neal, Cheng, Susan, Ouyang, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780355/
https://www.ncbi.nlm.nih.gov/pubmed/36550271
http://dx.doi.org/10.1038/s41746-022-00720-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780355/
https://www.ncbi.nlm.nih.gov/pubmed/36550271
http://dx.doi.org/10.1038/s41746-022-00720-8

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