Evaluating the performance of artificial intelligence software for lung nodule detection on chest radiographs in a retrospective real-world UK population

OBJECTIVES: Early identification of lung cancer on chest radiographs improves patient outcomes. Artificial intelligence (AI) tools may increase diagnostic accuracy and streamline this pathway. This study evaluated the performance of commercially available AI-based software trained to identify cancer...

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Detalles Bibliográficos
Autores principales: Maiter, Ahmed, Hocking, Katherine, Matthews, Suzanne, Taylor, Jonathan, Sharkey, Michael, Metherall, Peter, Alabed, Samer, Dwivedi, Krit, Shahin, Yousef, Anderson, Elizabeth, Holt, Sarah, Rowbotham, Charlotte, Kamil, Mohamed A, Hoggard, Nigel, Balasubramanian, Saba P, Swift, Andrew, Johns, Christopher S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Radiology and Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10632826/
https://www.ncbi.nlm.nih.gov/pubmed/37940155
http://dx.doi.org/10.1136/bmjopen-2023-077348

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10632826/
https://www.ncbi.nlm.nih.gov/pubmed/37940155
http://dx.doi.org/10.1136/bmjopen-2023-077348

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