Performing Endometriosis is an autopathographic piece, written and performed by VR and directed by MM (coauthors of the present article). Divided into very short scenes (called Glimpses), Performing Endometriosis is …
Endometriosis (EMs) is a chronic disease affecting millions of women worldwide, yet its pathogenesis remains unclear, and current diagnostic methods are limited. This study based on the EMs dataset from …
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Minimally invasive gynecologic surgery (MIGS) has changed gynecologic care over the past thirty years by introducing techniques like multiport laparoscopy, robotic-assisted laparoscopy, and single-site surgery. MIGS offers advantages like reduced …
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To identify the factors influencing postoperative recurrence in endometriosis patients after laparoscopic surgery and to evaluate their clinical predictive performance for postoperative recurrence.
Background and Objectives: Endometriosis, a complex and often underdiagnosed gynecological condition, frequently manifests with ovarian involvement, posing significant clinical challenges. Current diagnostic protocols primarily rely on invasive techniques, thus highlighting …
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To develop a machine learning method for the automatic recognition of endometriosis lesions during laparoscopic surgery and evaluate its feasibility and performance.
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