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Jayun Cho

Showing results (41-50 of 48) with videos related to

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Scientific Reports|June 4, 2026
Comparison of early versus late tracheostomy in trauma patients: a multicenter propensity score-matched cohort studySoon Ki Min, Jin Young Lee, Seung Hwan Lee, et al.
Journal of Trauma and Injury|October 9, 2024
Epidemiology and outcomes of patients with penetrating trauma in Incheon Metropolitan City, Korea based on National Emergency Department Information System data: a retrsopective cohort studyYoungmin Kim, Byungchul Yu, Se-Beom Jeon, et al.
Scientific Reports|December 8, 2021
Artificial intelligence to predict in-hospital mortality using novel anatomical injury scoreWu Seong Kang, Heewon Chung, Hoon Ko, et al.
Journal of Korean Medical Science|July 1, 2025
Development and Validation of a Korean Trauma and Injury Severity Score (K-TRISS) Model for Predicting Trauma OutcomesJungsub So, Kyoungwon Jung, Junsik Kwon, et al.
International Journal of Surgery (London, England)|December 17, 2025
Effectiveness of hybrid emergency room system in patients with severe trauma: a systematic review and meta-analysisHongrye Kim, Youngmin Kim, Sebeom Jeon, et al.
ANZ Journal of Surgery|December 26, 2024
Epidemiology, timing, technique, and outcomes of tracheostomy in patients with trauma: a multi-centre retrospective studySoon Ki Min, Jin Young Lee, Seung Hwan Lee, et al.
Ebiomedicine|March 14, 2026
Accurate, fair, and generalisable scaling of injury severity score-based AI with demographics in terms of mortality in patients with trauma: multi-centre, multi-national retrospective cohort studyYunjeong Choi, Junepill Seok, Thomas Young-Chul Oh, et al.
Nature Communications|January 7, 2026
Prehospital real-time AI for trauma mortality prediction: a multi-institutional and multi-national validation studyNa-Eun Oh, Thomas Young-Chul Oh, Jeremy Hsu, et al.
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Showing results (41-50 of 48) with videos related to

Sort By:
Pageof 5
You have reached the last page of results.This site can display upto 48 results.
Scientific Reports|June 4, 2026
Comparison of early versus late tracheostomy in trauma patients: a multicenter propensity score-matched cohort studySoon Ki Min, Jin Young Lee, Seung Hwan Lee, et al.
Journal of Trauma and Injury|October 9, 2024
Epidemiology and outcomes of patients with penetrating trauma in Incheon Metropolitan City, Korea based on National Emergency Department Information System data: a retrsopective cohort studyYoungmin Kim, Byungchul Yu, Se-Beom Jeon, et al.
Scientific Reports|December 8, 2021
Artificial intelligence to predict in-hospital mortality using novel anatomical injury scoreWu Seong Kang, Heewon Chung, Hoon Ko, et al.
Journal of Korean Medical Science|July 1, 2025
Development and Validation of a Korean Trauma and Injury Severity Score (K-TRISS) Model for Predicting Trauma OutcomesJungsub So, Kyoungwon Jung, Junsik Kwon, et al.
International Journal of Surgery (London, England)|December 17, 2025
Effectiveness of hybrid emergency room system in patients with severe trauma: a systematic review and meta-analysisHongrye Kim, Youngmin Kim, Sebeom Jeon, et al.
ANZ Journal of Surgery|December 26, 2024
Epidemiology, timing, technique, and outcomes of tracheostomy in patients with trauma: a multi-centre retrospective studySoon Ki Min, Jin Young Lee, Seung Hwan Lee, et al.
Ebiomedicine|March 14, 2026
Accurate, fair, and generalisable scaling of injury severity score-based AI with demographics in terms of mortality in patients with trauma: multi-centre, multi-national retrospective cohort studyYunjeong Choi, Junepill Seok, Thomas Young-Chul Oh, et al.
Nature Communications|January 7, 2026
Prehospital real-time AI for trauma mortality prediction: a multi-institutional and multi-national validation studyNa-Eun Oh, Thomas Young-Chul Oh, Jeremy Hsu, et al.
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