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 study
This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2025-RS-2024-00438239) and the Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (RS-2024-00509257, Global AI Frontier Lab). In addition, this research was supported by the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (RS-2025-02220492).
Authors
- Paul Testa (ORCID: https://orcid.org/0000-0002-1512-9638)
- Daniel K. Sodickson (ORCID: https://orcid.org/0000-0002-2436-4664)
- Robert Femia (ORCID: https://orcid.org/0000-0001-8162-5085)
- Woocheol Jang (ORCID: https://orcid.org/0000-0003-4728-5448)
- Jayun Cho (ORCID: https://orcid.org/0000-0003-4804-4101)
- Jina Kim (ORCID: https://orcid.org/0000-0003-1140-6113)
- Junepill Seok
- Na-eun Oh
- Wu Seong Kang
- Thomas Young-Chul Oh
- Yunjeong Choi
- Dong Keon Yon
- Jinseok Lee
- Do Wan Kim
- Jehyeuk Ahn (ORCID: https://orcid.org/0009-0006-8937-4368)
- Byungchul Yu
- Jeremy Hsu
Institutions
- Gachon University (KR)
- Westmead Hospital (AU)
- Kyung Hee University (KR)
- Gachon University Gil Medical Center (KR)
- Gachon University Gil Hospital (KR)
- Chonnam National University Hospital (KR)
- Kyung Hee University Medical Center (KR)
- Chungbuk National University Hospital (KR)
- New York University (US)
Publication Details
- Journal
- EBioMedicine
- Published
- 2026-03-13
- DOI
- https://doi.org/10.1016/j.ebiom.2026.106206
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00