Deep learning algorithm in detecting intracranial hemorrhages on emergency computed tomographies

BACKGROUND: Highly accurate detection of intracranial hemorrhages (ICH) on head computed tomography (HCT) scans can prove challenging at high-volume centers. This study aimed to determine the number of additional ICHs detected by an artificial intelligence (AI) algorithm and to evaluate reasons for...

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Detalles Bibliográficos
Autores principales: Kundisch, Almut, Hönning, Alexander, Mutze, Sven, Kreissl, Lutz, Spohn, Frederik, Lemcke, Johannes, Sitz, Maximilian, Sparenberg, Paul, Goelz, Leonie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8629230/
https://www.ncbi.nlm.nih.gov/pubmed/34843559
http://dx.doi.org/10.1371/journal.pone.0260560

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8629230/
https://www.ncbi.nlm.nih.gov/pubmed/34843559
http://dx.doi.org/10.1371/journal.pone.0260560

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