Evaluating progress in automatic chest X-ray radiology report generation

Artificial intelligence (AI) models for automatic generation of narrative radiology reports from images have the potential to enhance efficiency and reduce the workload of radiologists. However, evaluating the correctness of these reports requires metrics that can capture clinically pertinent differ...

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Detalles Bibliográficos
Autores principales: Yu, Feiyang, Endo, Mark, Krishnan, Rayan, Pan, Ian, Tsai, Andy, Reis, Eduardo Pontes, Fonseca, Eduardo Kaiser Ururahy Nunes, Lee, Henrique Min Ho, Abad, Zahra Shakeri Hossein, Ng, Andrew Y., Langlotz, Curtis P., Venugopal, Vasantha Kumar, Rajpurkar, Pranav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10499844/
https://www.ncbi.nlm.nih.gov/pubmed/37720336
http://dx.doi.org/10.1016/j.patter.2023.100802

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10499844/
https://www.ncbi.nlm.nih.gov/pubmed/37720336
http://dx.doi.org/10.1016/j.patter.2023.100802

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