Artificial Intelligence in Neuroendovascular Procedures.

Area of Science:

• Neurosurgery
• Medical Imaging
• Artificial Intelligence

Background:

• Artificial intelligence (AI) is rapidly advancing, transforming various medical fields, including neuroendovascular interventions.
• Current neuroendovascular procedures rely on operator expertise for image interpretation and real-time decision-making.

Purpose of the Study:

• To review the current applications and future potential of AI in neuroendovascular procedures.
• To focus on AI-based image recognition, real-time procedural assistance, and future developments in the field.

Main Methods:

• Literature review of recent advances in AI applications for neuroendovascular interventions.
• Analysis of deep learning algorithms for vascular structure analysis and device detection.
• Evaluation of potential clinical utility of real-time AI assistance systems.

Main Results:

• Deep learning algorithms show accuracy in identifying vascular conditions like perforations and occlusions.
• AI demonstrates potential in assisting procedures such as carotid artery stenting and aneurysm coiling.
• AI integration with robotics and use in medical education are identified as future directions.

Conclusions:

• AI significantly enhances neuroendovascular procedures by improving image analysis and providing real-time assistance.
• AI applications promise to increase procedural safety, standardization, and ultimately improve patient outcomes.
• Continued technological advancements suggest a growing role for AI in neuroendovascular interventions.