Beyond Pathology: A Procedure-Based Approach to Planning and Predicting Outcomes in Robotic Gynaecological Oncology Surgery

This study demonstrates that procedural requirements better predict operating time than traditional markers in robotic gynaecological surgery, representing a novel conceptual framework for surgical planning. However, the single-centre design and modest predictive accuracy compared to contemporary machine learning approaches indicate that comprehensive multi-centre prospective validation is essential before recommending widespread adoption. The excellent safety profile across all complexity levels supports the feasibility of robotic surgery in traditionally "complex" cases, though larger studies are needed to establish definitive safety parameters.