Female infertility is a complex health concern with a multitude of risk factors and aetiologies. This current narrative review was planned to highlight the various significant contributors to female infertility, …
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 …
Infertility is a common reproductive health issue, associated with increased risks of pregnancy complications. However, shared underlying risk factors such as age, BMI, PCOS, endometriosis, and lifestyle may partly explain …
Catamenial pneumothorax (CP) is a rare cause of recurrent spontaneous pneumothorax in women of reproductive age, typically linked to endometriosis. It usually occurs 24 h before or within 72 h …
The present review aims to ascertain whether reproductive disorders are associated with specific physical, mental, personality, and social traits. This information may be used to support or reject the hypothesis …
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 …
Background Endometriosis often requires surgery, especially in deep-infiltrating cases unresponsive to medical therapy. This study presents our institutional experience with robotic-assisted surgery (RAS) for endometriosis in Indian patients. Methodology This …
Artificial intelligence (AI) is revolutionizing how we practice medicine. In areas where we have traditionally struggled, such as diagnosing endometriosis, AI has significant potential to improve the breadth and accuracy …
Endometriosis is a chronic inflammatory disease characterized by the presence of endometrial-like tissue outside the uterine cavity. It affects approximately 10-15% of women of reproductive age globally and is characterized …
Predictive tools are lacking for pain-related outcomes after endometriosis surgery. The objective of this study was to develop and validate a machine learning-based clinical model to predict poor pain-related quality …