Systematic Review of Artificial Intelligence for Abnormality Detection in High-volume Neuroimaging and Subgroup Meta-analysis for Intracranial Hemorrhage Detection

PURPOSE: Most studies evaluating artificial intelligence (AI) models that detect abnormalities in neuroimaging are either tested on unrepresentative patient cohorts or are insufficiently well-validated, leading to poor generalisability to real-world tasks. The aim was to determine the diagnostic tes...

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Detalles Bibliográficos
Autores principales: Agarwal, Siddharth, Wood, David, Grzeda, Mariusz, Suresh, Chandhini, Din, Munaib, Cole, James, Modat, Marc, Booth, Thomas C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10233528/
https://www.ncbi.nlm.nih.gov/pubmed/37261453
http://dx.doi.org/10.1007/s00062-023-01291-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10233528/
https://www.ncbi.nlm.nih.gov/pubmed/37261453
http://dx.doi.org/10.1007/s00062-023-01291-1

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