Digital symptom checkers (SCs) are increasingly used to support early symptom recognition and care-seeking, yet evidence on their cost-effectiveness remains limited. We conducted an economic evaluation of a digital SC …
Despite affecting 190 million women worldwide, endometriosis remains underdiagnosed, under-researched, and underfunded. Tackling awareness gaps, diagnostic delays, and inadequate treatment requires earlier education, increased funding, and recognition of endometriosis as …
Endometriosis is a disease characterized by fibrosis and adhesions. There are still no treatment methods targeting these conditions. One reason for this is the lack of useful animal models to …
Endometriosis (EM) is driven by immune dysregulation and macrophage dysfunction, yet the underlying mechanisms remain unclear. Here, metabolomic profiling revealed excessive itaconate accumulation in EM lesions, primarily due to elevated …
Ureteral endometriosis (UE) is a rare but potentially devastating manifestation of deep infiltrating endometriosis, often remaining asymptomatic until irreversible renal damage occurs. We present the case of a 42-year-old woman …
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 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 …
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 …
We present a case of a very rare benign ovarian tumor, a sclerosing stromal tumor (SST). In addition, we performed a review of the literature to describe the spectrum of …