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Knowledge, interest and perspectives on Artificial Intelligence in Neurosurgery. A global survey
A Boaro1, E Mezzalira2, F Siddi1
1Section of Neurosurgery, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
Brain & Spine
|January 13, 2025
Summary
Neurosurgeons show low familiarity with Artificial Intelligence (AI) basics but express strong interest in its application. Educational initiatives are crucial for successful AI integration in neurosurgery.
Area of Science:
- Neurosurgery
- Artificial Intelligence
- Medical Technology
Background:
- Artificial Intelligence (AI) applications are rapidly expanding in healthcare.
- Neurosurgery, a technology-intensive field, is well-positioned for AI integration.
- Understanding AI fundamentals is essential for informed decision-making in neurosurgical AI adoption.
Purpose of the Study:
- To assess the global neurosurgical community's knowledge, confidence, and attitude toward AI concepts and applications.
- To investigate the influence of demographics and work environment on AI knowledge within neurosurgery.
Main Methods:
- A 24-item survey was distributed to neurosurgeons worldwide.
- The survey collected data on AI knowledge, confidence, interest, and attitudes towards AI in neurosurgery.
- Demographic and work-related factors were analyzed for their impact on AI knowledge.
Main Results:
- 250 responses were received from 61 countries.
- Only 42% correctly defined Machine Learning, 23% Deep Learning, and 23% Big Data features.
- A strong interest and positive attitude towards AI in neurosurgery were observed, with concerns about trustworthiness and liability, and barriers including funding, infrastructure, and knowledge gaps.
Conclusions:
- The neurosurgical community demonstrates limited familiarity with basic AI concepts.
- Despite low familiarity, there is significant interest and a positive outlook on AI implementation in neurosurgery.
- Systematic training and educational resources are vital for the successful integration of AI in neurosurgery.
