Latest Articles

An ultrasound-based machine learning model for predicting pelvic adhesions: A SHAP-enhanced XGBoost approach.

This study is the first to develop and evaluate a machine learning (ML) model for predicting pelvic adhesions based on ultrasound features, utilizing the SHapley Additive Explanations (SHAP) framework for …

Urinary microRNAs for the non-invasive diagnosis of endometriosis identified by next-generation sequencing and machine learning.

Endometriosis is a chronic gynecological disease associated with pain, infertility, and delayed diagnosis. Non-invasive biomarkers are urgently needed to facilitate earlier detection and reduce the reliance on diagnostic laparoscopy. MicroRNAs …

FTIR Spectroscopy Combined with Machine Learning Reveals Molecular Signatures Distinguishing three Phenotypes of Endometriosis.

Endometriosis is a chronic inflammatory disorder in which endometrial tissue grows outside the uterus, leading to pelvic pain and infertility. It remains a major challenge in women's health due to …

AI-Enhanced MRI Radiomics for Discriminating Active and Fibrotic Lesions to Support Therapeutic Decision-Making in Deep Endometriosis.

This study investigates whether quantitative analysis of preoperative Magnetic Resonance Imaging (MRI) scans can differentiate deep infiltrating endometriosis (DIE) lesion types (active or fibrotic) and associate them with reported pain …

ETS Homologous Factor (EHF) and Gamma Linolenic Acid (GLA): novel strategies for early diagnosis and treatment of endometriosis.

Identification and Subtype Analysis of Lipid Metabolism-Related Diagnostic Biomarkers for Endometriosis Based on WGCNA and Machine Learning.

Endometriosis (EM), a disorder driven by persistent systemic inflammation, impacts around 10% of women in their reproductive period, often diagnosed only via surgery. Metabolic alterations, particularly in lipid metabolism, may …

EGR1 promotes ferroptosis in endometriosis through transcriptional activation of HMOX1.

Endometriosis (EM) affects approximately 10% of women of reproductive age and remains a prevalent estrogen-dependent gynecological disorder with limited therapeutic efficacy and high recurrence rates. Ferroptosis-an iron-dependent, non-apoptotic form of …

Bioinformatics Analysis of Hypoxia-Related Mechanisms in Endometriosis: DDR2 as a Potential Diagnostic and Therapeutic Biomarker.

Endometriosis is a chronic gynecological disorder characterized by the presence of endometrial-like tissue outside the uterine cavity, causing chronic pain and infertility. Hypoxia plays a significant role in the progression …

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 …

AI-Driven Advances in Women's Health Diagnostics: Current Applications and Future Directions.

Background: Women's health has historically served as an incubator for major medical innovations yet often faces relative neglect in sustained funding and implementation. The rise of artificial intelligence (AI) and …