Training Artificial Intelligence to Recognize Surgical Steps in Microscope-Based Videos of Middle Cerebral Artery Aneurysm Clipping

The CNN long short-term memory approach to identify steps in MCA aneurysm clipping from microneurosurgery videos is feasible. Although certain phases were challenging, targeted data collection and refined annotation enhanced model performance. This work shows the feasibility of automated surgical-phase recognition in microneurosurgery; applications include resident training and operative video analysis.