Women's reproductive and endocrine disorders including Polycystic Ovary Syndrome (PCOS), endometriosis, thyroid disorders, infertility, and pregnancy-related complications remain a major global health burden. These conditions are especially difficult to manage …
Background and Objectives: Augmented reality (AR), mixed reality (MR), computer vision, artificial intelligence (AI), and three-dimensional (3D) modeling may be particularly relevant in fertility-preserving gynecologic surgery, where disease must be …
Artificial intelligence (AI) has emerged as a transformative tool in radiological diagnosis, particularly in urogynaecology and obstetric disorders where accurate and timely imaging is essential. This narrative review evaluates current …
Background: Endometriosis affects 10% of reproductive-aged women globally and is one of the major causes of infertility. It is a debilitating, chronic condition with an average diagnostic delay of up …
Ovarian endometriosis is a common manifestation of endometriosis associated with chronic pelvic pain and infertility. Although transvaginal ultrasound and magnetic resonance imaging are central to diagnosis, challenging cases may benefit …
Numerous studies have shown that the diagnostic performance and reproducibility of visual recognition of endometriosis during laparoscopy are poor. The use of artificial intelligence (AI) seems relevant for exhaustive lesion …
Endometriosis is a chronic, debilitating condition affecting approximately 10-15% of reproductive-aged women and it is often associated with significant diagnostic delays due to its heterogeneity and unreliable non-invasive tests. Artificial …
Endometriosis is a prevalent chronic inflammatory gynecological disorder affecting approximately 10% of reproductive-age women worldwide, characterized by endometrial-like tissue outside the uterine cavity. Ectopic lesion growth tracks closely with immune-inflammatory …
Transvaginal ultrasound (TVUS) is widely used for diagnosing ovarian endometriosis but remains limited by significant operator dependency. This systematic review and meta-analysis evaluated the diagnostic accuracy of ultrasound-based artificial intelligence …
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 …