Validation of a deep learning model for traumatic brain injury detection and NIRIS grading on non-contrast CT: a multi-reader study with promising results and opportunities for improvement.

Purpose: This study aimed to assess and externally validate the performance of a deep learning (DL) model for the interpretation of non-contrast computed tomography (NCCT) scans of patients with suspicion of traumatic brain injury (TBI). Methods: This retrospective and multi-reader study included pa...

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Bibliographic Details

Published in:	Neuroradiology Vol. 65; no. 11; pp. 1605 - 1618
Main Authors:	Jiang, Bin, Ozkara, Burak Berksu, Creeden, Sean, Zhu, Guangming, Ding, Victoria Y., Chen, Hui, Lanzman, Bryan, Wolman, Dylan, Shams, Sara, Trinh, Austin, Li, Ying, Khalaf, Alexander, Parker, Jonathon J., Halpern, Casey H., Wintermark, Max
Format:	diagnostic images research tables/charts Journal Article
Published:	Springer Nature Nov2023
Online Access:	View this record in EBSCOhost