,
Deparment of Neurosurgery, Cantonal Hospital Zenica , Zenica , Bosnia and Herzegovina
Department of Anatomy, School of Medicine, University of Zenica , Zenica , Bosnia and Herzegovina
Deparment of General Medicine, School of Medicine, University of Zenica , Zenica , Bosnia and Herzegovina
Deparment of Neurosurgery, Cantonal Hospital Zenica , Zenica , Bosnia and Herzegovina
Deparment of Surgery, School of Medicine, University of Zenica , Zenica , Bosnia and Herzegovina
Deparment of Neurosurgery, Cantonal Hospital Zenica , Zenica , Bosnia and Herzegovina
Deparment of Surgery, School of Medicine, University of Zenica , Zenica , Bosnia and Herzegovina
Department of Neurosurgery, University of Marburg , Marburg , Germany
Aim
This study provides a comprehensive review of the current literature on the use of ChatGPT, a generative Artificial Intelligence (AI) tool, in neurosurgery. The study examines potential benefits and limitations of ChatGPT in neurosurgical practice and education.
Methods
The study involved a systematic review of the current literature on the use of AI in neurosurgery, with a focus on
ChatGPT. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed to ensure a comprehensive and transparent review process. Thirteen studies met the inclusion criteria and were included in the final analysis. The data extracted from the included studies were analysed and synthesized to provide an overview of the current state of research on the use of ChatGPT in neurosurgery.
Results
The ChatGPT showed a potential to complement and enhance neurosurgical practice. However, there are risks and limitations associated with its use, including question format limitations, validation challenges, and algorithmic bias. The study highlights the importance of validating machine-generated content for accuracy and addressing ethical concerns associated with AI technologies. The study also identifies potential benefits of ChatGPT, such as providing personalized treatment plans, supporting surgical planning and navigation, and enhancing large data processing efficiency and accuracy.
Conclusion
The integration of AI technologies into neurosurgery should be approached with caution and careful consideration of
ethical and validation issues. Continued research and development of AI tools in neurosurgery can help us further understand their potential benefits and limitations.
This work is licensed under a Attribution-NonCommercial-NoDerivatives 4.0 International 
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