Do women with endometriosis have a higher use of antidepressants and anxiolytics, and more frequent psychiatric hospital contacts due to depression or anxiety, before and after receiving their endometriosis diagnosis, …
To assess the preoperative diagnostic accuracy of abdominal wall endometriosis (AWE) by general surgical teams and specialized endometriosis centers in assessing abdominal wall masses using clinical evaluation and imaging.
Endometriosis, particularly ovarian endometrioma, is associated with a 2-fold increased risk of ovarian cancer (OC), especially the clear cell and endometrioid subtypes. However, the absolute lifetime risk of OC in …
To systematically evaluate the methodological quality and diagnostic performance of artificial intelligence (AI) applications, specifically machine learning (ML) and deep learning (DL), in the diagnosis of endometriosis through imaging and …
BackgroundDespite many women learning about endometriosis on social media, posts about the condition often fail to reflect current evidence. With the content and credibility of online health messages being found …
Endometriosis is defined as endometrial tissue outside of the uterus. It is a debilitating, complex, and underdiagnosed condition, impacting approximately 10%-15% of reproductive-aged women worldwide. Endometriosis is associated with chronic …
Early diagnosis of endometriosis is crucial, yet limited literature exists on factors influencing women's decisions to seek diagnosis. This study explores the role of symptoms, health beliefs, and social influences …
Endometriosis diagnosis is often limited by the resolution of conventional imaging techniques (ultrasound/non-targeted MRI) as well as the invasiveness and recurrence risks associated with laparoscopy. To overcome these challenges, we …
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 …