Incorporating algorithmic uncertainty into a clinical machine deep learning algorithm for urgent head CTs

Machine learning (ML) algorithms to detect critical findings on head CTs may expedite patient management. Most ML algorithms for diagnostic imaging analysis utilize dichotomous classifications to determine whether a specific abnormality is present. However, imaging findings may be indeterminate, and...

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Detalles Bibliográficos
Autores principales: Yoon, Byung C., Pomerantz, Stuart R., Mercaldo, Nathaniel D., Goyal, Swati, L’Italien, Eric M., Lev, Michael H., Buch, Karen A., Buchbinder, Bradley R., Chen, John W., Conklin, John, Gupta, Rajiv, Hunter, George J., Kamalian, Shahmir C., Kelly, Hillary R., Rapalino, Otto, Rincon, Sandra P., Romero, Javier M., He, Julian, Schaefer, Pamela W., Do, Synho, González, Ramon Gilberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10010506/
https://www.ncbi.nlm.nih.gov/pubmed/36913348
http://dx.doi.org/10.1371/journal.pone.0281900

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10010506/
https://www.ncbi.nlm.nih.gov/pubmed/36913348
http://dx.doi.org/10.1371/journal.pone.0281900

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