Towards Automatic Direct Observation of Procedure and Skill (DOPS) in Colonoscopy

The quality of individual colonoscopy procedures is currently assessed by the performing endoscopist. In light of the recently reported quality issues in colonoscopy screening, there may be significant benefits in augmenting this form of self-assessment by automatic assistance systems. In this paper, we propose a system for the assessment of individual colonoscopy procedures, based on image analysis and machine learning. The system rates the procedures according to criteria of the validated Direct Observation of Procedure and Skill (DOPS) assessment, developed by the Joint Advisory Group on GI Endoscopy (JAG) in the UK, a system involving expert assessment of procedures based on an assessment form.