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

Mateusz Koryciński¹, Konrad A Ciecierski¹, Ewa Niewiadomska-Szynkiewicz¹

¹Institute of Control and Computation Engineering, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland.

Sensors (Basel, Switzerland)

|December 31, 2025

Summary

Artificial intelligence (AI) enhances neurosurgery by improving decision support and navigation. AI-assisted neuronavigation in deep brain stimulation (DBS) surgery reduces procedure time and risks of complications.

Keywords:

MRI artificial intelligence data analysis decision support systems neurosurgery

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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.