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...

Descripción completa

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

Internet

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

Ejemplares similares