Evaluating ChatGPT o1’s Capabilities in Peripheral Nerve Surgery: Advancing Artificial Intelligence in Clinical Practice
As the performance of large language model AI continues to improve, it is becoming increasingly important that absolute experts assess the accuracy of the answers to ensure reliable and clinically sound integration into healthcare practices. This study underscores the potential of large language model AI in augmenting clinical decision-making in highly specialized fields like peripheral nerve surgery while demonstrating the ongoing importance of human expertise. Future research should explore ways to further refine AI capabilities and assess its integration into routine surgical workflows.
Authors
- Jonas Kolbenschlag (ORCID: https://orcid.org/0000-0003-2822-421X)
- Henrik Lauer (ORCID: https://orcid.org/0000-0002-6603-0443)
- Benedikt Schäfer (ORCID: https://orcid.org/0000-0002-4251-4128)
- Tim Leypold (ORCID: https://orcid.org/0000-0003-1985-8368)
- Justus P. Beier (ORCID: https://orcid.org/0000-0002-0179-1962)
- Vincent G. J. Guillaume (ORCID: https://orcid.org/0000-0002-2546-9417)
- Jörg Bahm
- Tekoshin Ammo
Institutions
- BG Klinik Tübingen (DE)
- Universitätsklinikum Aachen (DE)
- RWTH Aachen University (DE)
Publication Details
- Journal
- World Neurosurgery
- Published
- 2025-03-06
- DOI
- https://doi.org/10.1016/j.wneu.2025.123753
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00