Screening Patient Misidentification Errors Using a Deep Learning Model of Chest Radiography: A Seven Reader Study.
We aimed to evaluate the ability of deep learning (DL) models to identify patients from a paired chest radiograph (CXR) and compare their performance with that of human experts. In this retrospective study, patient identification DL models were developed using 240,004 CXRs. The models were validated...
| Publicado en: | Journal of Imaging Informatics in Medicine Vol. 38; no. 2; pp. 694 - 703 |
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| Autores principales: | , , , , , , , , |
| Formato: | diagnostic images equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
Apr2025
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| Acceso en línea: | Ver este registro en EBSCOhost |