AI-assisted decision-making in mild traumatic brain injury
GPT-4 demonstrates potential utility in clinical decision-making for mild TBI management, offering scientifically appropriate and comprehensible responses. However, critical errors and readability issues limit its immediate implementation in emergency settings without oversight by experienced medical professionals.
Authors
- Mahmut Fırat Kaynak (ORCID: https://orcid.org/0000-0002-1556-0815)
- Asım Enes Özbek (ORCID: https://orcid.org/0000-0003-4095-7985)
- Shabbir Ahmed (ORCID: https://orcid.org/0000-0003-0756-3239)
- Serkan Günay (ORCID: https://orcid.org/0000-0002-8343-0916)
- Yavuz Yiğit (ORCID: https://orcid.org/0000-0002-7226-983X)
- Baha Hamdi Alkahlout (ORCID: https://orcid.org/0000-0002-7101-5651)
Institutions
- Queen Mary University of London (GB)
- Hitit Üniversitesi (TR)
- Hamad General Hospital (QA)
- Primary Health Care (QA)
- Hamad Medical Corporation (QA)
- Kocaeli Üniversitesi (TR)
Publication Details
- Journal
- BMC Emergency Medicine
- Published
- 2025-03-12
- DOI
- https://doi.org/10.1186/s12873-024-01159-8
- Citations
- 2
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.31
Funders
- Qatar National Library