Enhanced Trauma Video Review With Computer Vision: Trauma Resuscitation Phase Segmentation and Procedure Detection
Computer vision can effectively automate TVR, enabling accurate phase segmentation and procedure detection. This approach has the potential to streamline TVR, promote adoption, and improve trauma care quality.
Authors
- Joshua A. Villarreal (ORCID: https://orcid.org/0000-0001-6380-4880)
- Jeffrey K. Jopling (ORCID: https://orcid.org/0000-0002-0694-1704)
- Dong-han Yao (ORCID: https://orcid.org/0000-0002-5468-807X)
- Ryan P. Dumas (ORCID: https://orcid.org/0000-0002-6566-1833)
- Andrew P. Bain (ORCID: https://orcid.org/0000-0001-5815-8810)
- Jinseong Heo (ORCID: https://orcid.org/0000-0003-2530-488X)
- Bahaa Succar
- Serena Yeung-Levy
- Xiaohan Wang (ORCID: https://orcid.org/0000-0002-8688-047X)
Institutions
- Johns Hopkins University (US)
- Baylor College of Medicine (US)
- Johns Hopkins Medicine (US)
- The University of Texas Southwestern Medical Center (US)
- Stanford University (US)
Publication Details
- Journal
- Annals of Surgery Open
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1097/as9.0000000000000631
- Primary Topic
- Trauma and Emergency Care Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00