Retrospective analysis and prospective validation of an AI-based software for intracranial haemorrhage detection at a high-volume trauma centre

Rapid detection of intracranial haemorrhage (ICH) is crucial for assessing patients with neurological symptoms. Prioritising these urgent scans for reporting presents a challenge for radiologists. Artificial intelligence (AI) offers a solution to enable radiologists to triage urgent scans and reduce...

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Detalles Bibliográficos
Autores principales: Zia, Adil, Fletcher, Calvin, Bigwood, Shalini, Ratnakanthan, Prasanna, Seah, Jarrel, Lee, Robin, Kavnoudias, Helen, Law, Meng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9674833/
https://www.ncbi.nlm.nih.gov/pubmed/36400834
http://dx.doi.org/10.1038/s41598-022-24504-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9674833/
https://www.ncbi.nlm.nih.gov/pubmed/36400834
http://dx.doi.org/10.1038/s41598-022-24504-y

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