A Conceptual Framework of Subjective and Objective Fusion Assessment System for Surgical Robot Surgeons

With the continuous advancement of technology, Robot-Assisted Minimally Invasive Surgery (RAMIS) has gained increasing recognition and is considered one of the important trends in the future of surgery. However, there is still a lack of standardized, systematic, and comprehensive assessment systems for assessing the skills of surgeons in RAMIS. In this paper, we propose a conceptual framework of assessment system that combines subjective and objective measures, which focuses on the design of the assessment system and the design of the experimental paradigm. It is expected that through a scientifically designed comprehensive assessment system, the training efficiency in the field of robot-assisted minimally invasive surgery can be improved, enabling the rapid development of highly skilled surgeons in hospitals, thus promoting the advancement of robot-assisted minimally invasive surgery.