Reproducibility of artificial intelligence models in computed tomography of the head: a quantitative analysis

When developing artificial intelligence (AI) software for applications in radiology, the underlying research must be transferable to other real-world problems. To verify to what degree this is true, we reviewed research on AI algorithms for computed tomography of the head. A systematic review was co...

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Detalles Bibliográficos
Autores principales: Gunzer, Felix, Jantscher, Michael, Hassler, Eva M., Kau, Thomas, Reishofer, Gernot
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2022
Materias:
Critical Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9613832/
https://www.ncbi.nlm.nih.gov/pubmed/36303079
http://dx.doi.org/10.1186/s13244-022-01311-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9613832/
https://www.ncbi.nlm.nih.gov/pubmed/36303079
http://dx.doi.org/10.1186/s13244-022-01311-7

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