Assessment of the effect of a comprehensive chest radiograph deep learning model on radiologist reports and patient outcomes: a real-world observational study

OBJECTIVES: Artificial intelligence (AI) algorithms have been developed to detect imaging features on chest X-ray (CXR) with a comprehensive AI model capable of detecting 124 CXR findings being recently developed. The aim of this study was to evaluate the real-world usefulness of the model as a diag...

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Detalles Bibliográficos
Autores principales: Jones, Catherine M, Danaher, Luke, Milne, Michael R, Tang, Cyril, Seah, Jarrel, Oakden-Rayner, Luke, Johnson, Andrew, Buchlak, Quinlan D, Esmaili, Nazanin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Radiology and Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8689166/
https://www.ncbi.nlm.nih.gov/pubmed/34930738
http://dx.doi.org/10.1136/bmjopen-2021-052902

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8689166/
https://www.ncbi.nlm.nih.gov/pubmed/34930738
http://dx.doi.org/10.1136/bmjopen-2021-052902

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