A transparent artificial intelligence framework to assess lung disease in pulmonary hypertension

Recent studies have recognized the importance of characterizing the extent of lung disease in pulmonary hypertension patients by using Computed Tomography. The trustworthiness of an artificial intelligence system is linked with the depth of the evaluation in functional, operational, usability, safet...

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Detalles Bibliográficos
Autores principales: Mamalakis, Michail, Dwivedi, Krit, Sharkey, Michael, Alabed, Samer, Kiely, David, Swift, Andrew J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9990015/
https://www.ncbi.nlm.nih.gov/pubmed/36882484
http://dx.doi.org/10.1038/s41598-023-30503-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9990015/
https://www.ncbi.nlm.nih.gov/pubmed/36882484
http://dx.doi.org/10.1038/s41598-023-30503-4

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