Latest Articles

Publication Date
Development of an AI-based magnetic resonance imaging reading support program (AMP) for deep endometriosis diagnosis.

Diagnosis of endometriosis faces significant challenges including diagnostic delay and reliance on invasive procedures. Deep endometriosis (DE) poses additional difficulties in non-invasive diagnosis due to its subtle and complex imaging …

Published: Dec. 8, 2025, midnight
Personalized Estimation of Fatigue in Endometriosis Using Wrist-Worn Actigraphy Data and Hierarchical Bayesian Modeling.

Endometriosis is a common chronic condition associated with debilitating pain and fatigue. Wearable technology has the potential to improve symptom monitoring in endometriosis where symptom severity has been traditionally evaluated …

Published: Dec. 5, 2025, midnight
Diagnostic performance of the #Enzian classification via ultrasound compared to laparoscopic findings in endometriosis: a retrospective cohort study.

To assess the diagnostic performance of the ultrasound-based #Enzian classification in comparison with laparoscopic surgical findings in patients with endometriosis.

Published: Dec. 4, 2025, midnight
Deep endometriosis: evaluation of ENZIAN and #ENZIAN classification systems by MRI compared with surgery-a meta-analysis.

To assess the reproducibility and the diagnostic accuracy of MRI for the assessment of (#)ENZIAN classification in patients with deep endometriosis by means of a meta-analysis.

Published: Nov. 29, 2025, midnight
Integrating inflammatory biomarkers and demographic variables with machine learning to predict endometriosis risk.

This study explores the relationship between inflammatory biomarkers and the risk of endometriosis, aiming to develop a predictive model using National Health and Nutrition Examination Survey (1999-2006) data. The dataset …

Published: Nov. 27, 2025, midnight
Diagnostic accuracy of non-coding RNA for detecting endometriosis: A systematic review and meta-analysis.

Endometriosis diagnosis currently relies on invasive laparoscopy, creating a need for non-invasive alternatives. This study evaluates microRNAs (miRNAs) as potential diagnostic biomarkers for endometriosis through systematic evidence synthesis and performance …

Published: Nov. 24, 2025, midnight
Detection of peritoneal, ovarian, and bowel endometriosis using FTIR spectroscopy and machine learning.

This study evaluated the diagnostic potential of Fourier-transform infrared (FTIR) spectroscopy combined with machine learning for the detection of ovarian, bowel, and peritoneal endometriosis. The Boruta algorithm was applied to …

Published: Nov. 23, 2025, midnight
Trans epistemologies of adeno and endo pain: a history of perspective in gynaecology.

This is a creative-critical essay about the shape of menstrual pain set against 'the politics of the uterus' (Paul B Preciado), drawing from personal experiences of adenomyosis. The premise thinks …

Published: Nov. 19, 2025, midnight
Machine-learning-derived prediction models of recurrence of ovarian endometriosis after laparoscopic surgery.

Endometriosis is a long-term health problem that affects a significant number of women globally. Among the various forms of endometriosis, ovarian endometriosis (OEM) is the most prevalent. This research aimed …

Published: Nov. 10, 2025, midnight
Metabolome analysis as a potential source of endometriosis biomarkers with the use of multiomics approach in its diagnosis.

Endometriosis poses diagnostic challenges. This study aimed to analyze the metabolomic profiles of plasma and peritoneal fluid samples obtained from women with endometriosis compared to controls. Our multicenter study involved …

Published: Nov. 5, 2025, midnight
Link copied to clipboard!
Subscribe to Our Newsletter

Stay updated with our latest articles!