Introducing surgical intelligence in gynecology: Automated identification of key steps in hysterectomy.
Ishai LevinJudith Rapoport FermanOmri BarDanielle Ben AyounAviad CohenTamir WolfPublished in: International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics (2024)
The results of the present study demonstrate that a novel AI-based model achieves high accuracy for automated steps identification in hysterectomy. This lays the foundations for the next phase of AI, focused on real-time clinical decision support and prediction of outcome measures, to optimize surgeon workflow and elevate patient care.