Intracranial Densitometry-Augmented Machine Learning Enhances the Prognostic Value of Brain CT in Pediatric Patients With Traumatic Brain Injury: A Retrospective Pilot Study

• Main Authors: Young-Tak Kim (Author), Hakseung Kim (Author), Choel-Hui Lee (Author), Byung C. Yoon (Author), Jung Bin Kim (Author), Young Hun Choi (Author), Won-Sang Cho (Author), Byung-Mo Oh (Author), Dong-Joo Kim (Author)
• Format: Book
• Published: Frontiers Media S.A., 2021-11-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Background: The inter- and intrarater variability of conventional computed tomography (CT) classification systems for evaluating the extent of ischemic-edematous insult following traumatic brain injury (TBI) may hinder the robustness of TBI prognostic models.Objective: This study aimed to employ ful...