Additional file 7 of Prognostic value of machine learning for brain computed tomography as a predictor of neurologic outcomes after cardiac arrest: a systematic review and meta-analysis

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Authors: Kyung Hun Yoo, Juncheol Lee, Wonhee Kim, B S Kim, Elleah Jueun Chin, Jae Guk Kim, Hyun Young Choi, Jaehoon Oh
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Abstract

Supplementary Material 7: Supplementary Fig. 4. Forest plot of the pooled sensitivity of brain computed tomography timing before and after the 24-h mark. Subgroup differences were significant between groups (p = 0.0032).

Fields of Study & Subjects

Cardiac Arrest and Resuscitation Acute Ischemic Stroke Management Traumatic Brain Injury Research

Publication details

Journal / source
Figshare
Publication date
1 January 2026
Language
EN