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Numerous studies have shown that the diagnostic performance and reproducibility of visual recognition of endometriosis during laparoscopy are poor. The use of artificial intelligence (AI) seems relevant for exhaustive lesion …
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Sonovaginography (SVG) is a specialized ultrasound technique for evaluating certain locations of deep endometriosis (DE) in the posterior compartments. In this study, we assessed the diagnostic accuracy of saline/gel SVG …
Introduction Endometriosis is a common cause of infertility and affects reproductive outcomes through multiple mechanisms, including pelvic adhesions, altered pelvic anatomy, and inflammatory changes. The Endometriosis Fertility Index (EFI) was …
Reliable non-invasive biomarkers for endometriosis remain unavailable in routine practice, and their translational value depends on performance in symptomatic referral populations rather than only against healthy controls. We evaluated Nuclear …
Background: Endometriosis is a chronic estrogen-dependent inflammatory disease estimated to affect up to 190 million women of reproductive age worldwide based on clinical and population-based estimates, although only 22.3 million …
To address the need for more objective and reproducible preoperative diagnosis of deep infiltrating endometriosis (DIE), this study aimed to develop and validate a weighted ensemble machine learning (ML) model …
Endometriosis affects an estimated 5-10% of women of reproductive age and presents with substantial clinical and biological heterogeneity. Recent clinical guidelines have shifted toward symptom-guided diagnosis supported by expert imaging, …