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A systematic approach to standardizing the visual appearance of endometriotic lesions for artificial intelligence recognition.

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 …

Published: July 11, 2026, midnight
Diagnostic Performance of Saline/Gel Sonovaginography in Assessment of Deep Infiltrating Endometriosis at Posterior Compartments; A Systematic Review and Meta-Analysis.

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 …

Published: June 25, 2026, midnight
Validation of Endometriosis Fertility Index for the Prediction of Non-Assisted Reproductive Technology (ART) Pregnancy in Women With Endometriosis-Associated Infertility: A Prospective Cohort Study.

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 …

Published: June 19, 2026, midnight
NMR-based serum metabolite and lipoprotein profiling for endometriosis across clinically relevant and physiological comparator settings: assessment of diagnostic utility and exploratory biological signals.

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 …

Published: June 17, 2026, midnight
Epidemiology, Risk Factors, Diagnosis, and Comorbidities of Endometriosis: An Umbrella Review.

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 …

Published: June 12, 2026, midnight
An ensemble machine learning model based on magnetic resonance imaging features for diagnosing deep infiltrating endometriosis.

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 …

Published: May 29, 2026, midnight
Translational Assessment of Omics Approaches in Endometriosis: Bridging Molecular Discovery with Clinical Utility.

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, …

Published: May 28, 2026, midnight
Artificial intelligence potential in ovarian endometriosis imaging: a comparative meta-analysis of transvaginal ultrasound-based AI models and human readers.

Transvaginal ultrasound (TVUS) is widely used for diagnosing ovarian endometriosis but remains limited by significant operator dependency. This systematic review and meta-analysis evaluated the diagnostic accuracy of ultrasound-based artificial intelligence …

Published: May 26, 2026, midnight
Endo-MedSAM: a promptable vision foundation model adaptation for uterus segmentation on pelvic MRI in endometriosis.

Endometriosis is a common gynecologic condition in which pelvic MRI plays an important role in diagnosis and preoperative assessment. AI-enabled automated uterus segmentation on pelvic MRI could support endometriosis care …

Published: May 25, 2026, midnight
Deciphering the Diagnostic and Natural Therapeutic Implications of Necrosis by Sodium Overload and NK Signatures in Endometriosis Patients.

Endometriosis (EMT) is characterized by a chronic inflammatory disorder in the female reproductive system, posing significant challenges to global women's health. Necrosis by Sodium Overload (NESCO) is a novel immunogenic …

Published: May 18, 2026, midnight
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