Predicting future surgical steps during MCA aneurysm clipping using a multimodal transformer
By
Thomas J. On
Jonathan A. Tangsrivimol
Jiuxu Chen
Yuan Xu
Baoxin Li
Michael T. Lawton
Mark C. Preul
June 2, 2026
Clinical Scorecard: Forecasting Upcoming Surgical Procedures in MCA Aneurysm Clipping Through a Multimodal Transformer Approach
At a Glance
Category Detail
Condition Intracranial Aneurysm Clipping - Middle Cerebral Artery Aneurysm Clipping Key Mechanisms Target Population Care Setting
Key Highlights
Study evaluated 25 MCA aneurysm clipping surgeries with detailed methodology. Multimodal model achieved mean accuracy of 0.683 and weighted F1 score of 0.673. Guideline-Based Recommendations
Diagnosis
Follow guidelines for diagnosing MCA aneurysms. Management
Adhere to management protocols for MCA aneurysms. Monitoring & Follow-up
Implement monitoring strategies post-surgery. Risks
Consider risks associated with MCA aneurysm clipping. Patient & Prescribing Data
AI-driven models can enhance surgical decision-making by providing predictive insights.
Clinical Best Practices
Utilize multimodal approaches for surgical step prediction. Incorporate AI tools to improve operative efficiency. Ensure accurate annotation of surgical steps for model training to enhance predictive accuracy. Related Resources & Content
