Artificial intelligence-assisted middle meningeal artery embolization for chronic subdural hematoma with overlay...

Area of Science:

• Neurosurgery and Interventional Neuroradiology
• Medical Artificial Intelligence Applications

Background:

• Middle meningeal artery (MMA) embolization is effective for chronic subdural hematoma (CSH).
• Distal and multibranch penetration of embolic agents is crucial for optimal outcomes in MMA embolization.
• Artificial intelligence (AI) is increasingly explored for neuroendovascular procedures.

Purpose of the Study:

• To highlight the potential of an AI overlay feature in enhancing MMA embolization.
• To demonstrate how AI-assisted visualization improves procedural efficacy and safety.
• To showcase improved distal and multibranch penetration leading to larger embolization volumes.

Main Methods:

• Case study focusing on AI-assisted middle meningeal artery embolization.
• Utilized an AI system with an overlay feature for enhanced visualization and notifications.
• Demonstrated the impact of the overlay feature on achieving greater distal and multibranch penetration.

Main Results:

• The AI overlay feature significantly enhanced visualization and provided critical notifications.
• Improved safety was observed through features like reflux detection.
• Greater distal and multibranch penetration was achieved, leading to increased embolization volume and procedural efficacy.

Conclusions:

• AI-assisted MMA embolization, particularly with overlay visualization, can improve procedural efficacy and safety.
• The AI overlay feature facilitates better distal and multibranch penetration, enhancing treatment outcomes.
• AI support shows promise for improving clinical practice and training in MMA embolization.