Artificial intelligence (AI) may have the potential to improve existing diagnostic challenges in endometriosis imaging. To better direct future research, this descriptive review summarizes the general landscape of AI applications …
Endometriosis is marked by the ectopic growth, spread, and invasion of endometrial tissue beyond the uterus, resulting in recurrent bleeding, pain, reproductive challenges, and the formation of nodules or masses. …
The mechanisms behind endometriosis-related pain are not yet fully understood. To determine if there is a difference in the density of endometrial nerve fibers between women with endometriosis and healthy …
Synthetic sex hormones, estrogens and/or progestogens, have been widely administered without sufficient long-term studies for decades to millions of pregnant women around the world and although most were banned in …
Endometriosis is a chronic gynecological disorder characterized by significant pain and reduced quality of life (QOL). Current treatments, such as dienogest, are not fully effective, prompting the investigation of curcumin …
To analyse endometriosis diagnostic errors made by clinicians as reported by patients with endometriosis.
Endometriosis is a chronic condition that affects 10% of the people with a uterus. Due to the complex social and psychological impacts caused by this condition, people with endometriosis often …
Previous research has identified treatment attributes and outcomes for endometriosis patients, highlighting the need for tailored interventions to improve patient care. These studies emphasize the need to understand patient experiences, …
Endometriosis (EM) is the most common gynecological disease in women of childbearing age. This study aims to identify key genes and screen drugs that may contribute to EM treatment.