Atypical endometriosis (AE) is a histologically distinct entity considered a potential precursor to Endometriosis-Associated Ovarian Cancer (EAOC). Preoperative diagnosis is challenging as imaging often fails to distinguish AE from benign …
Endometriosis (EM) is a condition that impacts roughly 10% of women within the reproductive age demographic on a global scale. Due to the limitations of conventional diagnostic techniques for endometriosis, …
The integration of robotic systems into minimally invasive surgery offers significant advantages, including enhanced precision, reduced invasiveness, and improved patient outcomes. However, sustaining these benefits requires optimization of operational efficiency …
Background: The individual and social burden of endometriosis is high, and the diagnosis is usually delayed by 7-10 years. Menstrual effluent (ME) represents an accessible and uniquely informative biofluid. This …
To explore the performance of ChatGPT version 4.0 (GPT-4) and Gemini Advanced (Gemini) large language models (LLMs) in addressing common patient questions after gynecology surgery with regards to accuracy, relevance, …
Background/Objectives: Chronic pelvic pain (CPP) is defined as pelvic pain lasting longer than six months and is a common yet often overlooked condition, affecting over 40% of women worldwide and …
Background/Objectives: Endometriosis is a chronic inflammatory disease characterized by ectopic endometrial tissue growth and is strongly associated with oxidative stress; however, systemic biomarkers reflecting this stress response remain limited. Advanced …
Endometriosis is a chronic inflammatory disease characterized by ectopic endometrial tissue growth, causing pain and infertility. Diagnosis is often delayed due to reliance on imaging and invasive methods, highlighting the …
This study aimed to construct and validate a nomogram for predicting natural pregnancy after hysteroscopy and laparoscopy in patients with tubal infertility and pelvic endometriosis, providing a basis for precise …
One-class classifier (OCC) models are widely applied to solve classification problems where control or class modeling from a target class is necessary. In this study, OCC models such as Data …