| Abstrakt: |
A recent study conducted by the Sheikh Zayed Institute for Pediatric Surgical Innovation focuses on the use of machine learning in microdiscectomy surgeries. Microdiscectomy is a common spine procedure in the US, but it is not exempt from potential complications. The study presents a video annotation methodology for microdiscectomy surgeries, which could be combined with computer vision and machine learning models to predict adverse events and anticipate outcomes. The researchers developed a standardized workflow for annotating surgical videos, which may facilitate the quantitative analysis of videos using supervised machine learning applications. Future work will focus on developing process modeling and outcome predictors to demonstrate the clinical relevance and impact of this workflow. [Extracted from the article] |
