Can Artificial Intelligence Improve the Appropriate Use and Decrease the Misuse of REBOA?
This proof-of-concept study shows that interpretable AI models can improve mortality in unstable blunt trauma patients by optimizing the use and decreasing the misuse of REBOA. To date, these models have been used to predict outcomes, but their groundbreaking use will be in prescribing interventions and changing outcomes.
Authors
- Dimitris Bertsimas (ORCID: https://orcid.org/0000-0002-1985-1003)
- Haytham M.A. Kaafarani (ORCID: https://orcid.org/0000-0002-4682-9135)
- Mary Bokenkamp (ORCID: https://orcid.org/0000-0001-7090-2016)
- Anthony Gebran (ORCID: https://orcid.org/0000-0003-3311-9908)
- Ander Dorken‐Gallastegi (ORCID: https://orcid.org/0000-0003-3566-5937)
- George C. Velmahos (ORCID: https://orcid.org/0000-0001-5459-0374)
- Jefferson A. Proaño-Zamudio (ORCID: https://orcid.org/0000-0001-8970-4642)
- Yu Ma (ORCID: https://orcid.org/0000-0001-8409-7222)
Institutions
- Massachusetts General Hospital (US)
- Massachusetts Institute of Technology (US)
Publication Details
- Journal
- Bioengineering
- Published
- 2025-09-25
- DOI
- https://doi.org/10.3390/bioengineering12101025
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00