Article

Deep learning-based recognition model for surgical phases of minimally invasive hysterectomy: A multicentre retrospective study

2026-05-17

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Objective</h4> To develop and validate a robust deep-learning model capable of fine-grained phase recognition in total hysterectomy, particularly the complex periuterine dissection phase. <h4>Design</h4> Multicentre retrospective observational study. <h4>Setting</h4> Japan. <h4>Sample</h4> Surgical videos (n = 764) from 43 institutions. <h4>Methods</h4> We developed a robust and general...

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Literature Corpus work: f975ffa5-d0e0-5af0-bedc-b1c33516dd70
DOI: 10.64898/2026.05.13.26353100

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