Latest Articles

A Decision Tree Model Integrating Ultrasound Sliding Sign Optimizes Surgical Planning for Stage IV Endometriosis: An Ambispective Cohort Study.

Urine and Serum miRNA Signatures for the Non-Invasive Diagnosis of Adenomyosis: A Machine Learning-Based Pilot Study.

Background: Adenomyosis remains difficult to diagnose non-invasively due to clinical overlap with endometriosis and the limited specificity of imaging techniques. This pilot study evaluated whether serum- and urine-derived microRNA (miRNA) …

Artificial intelligence-driven decision tree model for predicting quality of life determinants in women with endometriosis.

Endometriosis significantly impacts the quality of life (QoL) of affected women due to its complex symptomatology. This study aimed to develop a decision tree-based model to identify the key determinants …