Decision Support Systems in Neurosurgery: Current Applications and Future Directions.

Area of Science:

• Neurosurgery
• Medical Technology
• Artificial Intelligence

Background:

• Artificial intelligence (AI) is rapidly advancing and widely applied across industries, including healthcare.
• AI is utilized in healthcare for organizational tasks, data analysis, and clinical decision support systems.
• Neurosurgery demands high precision, making it a prime area for AI integration.

Purpose of the Study:

• To review current AI applications in neurosurgery.
• To discuss the potential of AI-driven decision support systems in neurosurgical procedures.
• To explore future directions for AI in neurosurgery.

Main Methods:

• Review of existing AI methodologies in neurosurgery.
• Analysis of AI's role in neuronavigation and treatment decision support.
• Discussion of future AI system development considerations.

Main Results:

• AI offers significant benefits for neurosurgical navigation and precision.
• AI-assisted neuronavigation in deep brain stimulation (DBS) surgery improves efficiency and reduces errors.
• AI can decrease procedure length and the need for revision surgeries.

Conclusions:

• AI holds substantial promise for advancing neurosurgical techniques and patient outcomes.
• Future AI systems in neurosurgery must prioritize precision, usability, security, and explainability.
• Continued research and development are crucial for realizing AI's full potential in neurosurgery.