Prehospital real-time AI for trauma mortality prediction: a multi-institutional and multi-national validation study.

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Title: Prehospital real-time AI for trauma mortality prediction: a multi-institutional and multi-national validation study.
Authors: Oh NE; Department of Electronics and Information Convergence Engineering, Kyung Hee University, Yongin, Republic of Korea.; Department of Biomedical Engineering, Kyung Hee University, Yongin, Republic of Korea., Oh TY; Trauma Service, Westmead Hospital, University of Sydney, Sydney, NSW, Australia., Hsu J; Trauma Service, Westmead Hospital, University of Sydney, Sydney, NSW, Australia., Kim DW; Department of Thoracic and Cardiovascular Surgery, Chonnam National University Hospital and Chonnam National University Medical School, Gwangju, Republic of Korea., Yu B; Traumatology, Gachon University College of Medicine, Department of trauma surgery, Gachon University Gil Medical Center, Incheon, Republic of Korea., Cho J; Department of Trauma Surgery, Gachon University Gil Medical Center, Incheon, Republic of Korea., Seok J; Department of Thoracic and Cardiovascular Surgery, Chungbuk National University Hospital, Cheongju, Republic of Korea.; Department of Thoracic and Cardiovascular Surgery, Chungbuk National University, College of Medicine, Cheongju, Republic of Korea., Lee JY; Department of Trauma Surgery, Chungbuk National University Hospital, Cheongju, Republic of Korea.; Division of Acute Care Surgery, Department of Surgery, Korea University Guro Hospital, Seoul, Republic of Korea.; Trauma Center, Armed Forces Capital Hospital, Seongnam, Republic of Korea., Jang W; Department of Electronics and Information Convergence Engineering, Kyung Hee University, Yongin, Republic of Korea.; Department of Biomedical Engineering, Kyung Hee University, Yongin, Republic of Korea., Kim J; Department of Electronics and Information Convergence Engineering, Kyung Hee University, Yongin, Republic of Korea.; Department of Biomedical Engineering, Kyung Hee University, Yongin, Republic of Korea., Femia RJ; Ronald O. Perelman Department of Emergency Medicine, New York University Grossman School of Medicine, New York, NY, USA., Testa PA; Ronald O. Perelman Department of Emergency Medicine, New York University Grossman School of Medicine, New York, NY, USA., Yon DK; Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.; Department of Pediatrics, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea., Sodickson DK; Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA.; Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA., Kang WS; Department of Trauma Surgery, Jeju Regional Trauma Center, Cheju Halla General Hospital, Jeju, Republic of Korea. wuseongkang@naver.com.; Department of Trauma Surgery, Gachon University Gil Medical Center, Incheon, Republic of Korea. wuseongkang@naver.com., Lee J; Department of Electronics and Information Convergence Engineering, Kyung Hee University, Yongin, Republic of Korea. gonasago@khu.ac.kr.; Department of Biomedical Engineering, Kyung Hee University, Yongin, Republic of Korea. gonasago@khu.ac.kr.
Source: Nature communications [Nat Commun] 2026 Jan 07; Vol. 17 (1), pp. 1464. Date of Electronic Publication: 2026 Jan 07.
Publication Type: Journal Article; Multicenter Study; Validation Study
Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2041-1723
DOI:10.1038/s41467-025-68198-y