Deep learning based automatic detection algorithm for acute intracranial haemorrhage: a pivotal randomized clinical trial

Acute intracranial haemorrhage (AIH) is a potentially life-threatening emergency that requires prompt and accurate assessment and management. This study aims to develop and validate an artificial intelligence (AI) algorithm for diagnosing AIH using brain-computed tomography (CT) images. A retrospect...

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Detalles Bibliográficos
Autores principales: Yun, Tae Jin, Choi, Jin Wook, Han, Miran, Jung, Woo Sang, Choi, Seung Hong, Yoo, Roh-Eul, Hwang, In Pyeong
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/PMC10082037/
https://www.ncbi.nlm.nih.gov/pubmed/37029272
http://dx.doi.org/10.1038/s41746-023-00798-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10082037/
https://www.ncbi.nlm.nih.gov/pubmed/37029272
http://dx.doi.org/10.1038/s41746-023-00798-8

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