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Decision effect of a deep-learning model to assist a head computed tomography order for pediatric traumatic brain injury

The study aims to measure the effectiveness of an AI-based traumatic intracranial hemorrhage prediction model in the decisions of emergency physicians regarding ordering head computed tomography (CT) scans. We developed a deep-learning model for predicting traumatic intracranial hemorrhages (DEEPTIC...

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Detalles Bibliográficos
Autores principales:	Heo, Sejin, Ha, Juhyung, Jung, Weon, Yoo, Suyoung, Song, Yeejun, Kim, Taerim, Cha, Won Chul
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/PMC9304372/ https://www.ncbi.nlm.nih.gov/pubmed/35864281 http://dx.doi.org/10.1038/s41598-022-16313-0

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