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 …
Endometriosis is a common gynecologic condition in which pelvic MRI plays an important role in diagnosis and preoperative assessment. AI-enabled automated uterus segmentation on pelvic MRI could support endometriosis care …
Endometriosis (EMT) is characterized by a chronic inflammatory disorder in the female reproductive system, posing significant challenges to global women's health. Necrosis by Sodium Overload (NESCO) is a novel immunogenic …
Endometriosis is a prevalent gynecologic disorder associated with infertility and increased cancer risk, necessitating the development of sensitive and reliable diagnostic methods. Circulating microRNAs (miRNAs) have emerged as promising noninvasive …
To evaluate the feasibility, interobserver reproducibility, reporting efficiency, and perceived clinical impact of the Deep Pelvic Endometriosis Index (dPEI) when implemented as part of structured MRI reporting in routine clinical …
Uterine pain associated with labor, dysmenorrhea, or endometriosis is often driven by inflammation, which enhances nociceptive signaling and contributes to hyperalgesia. Although nonsteroidal anti-inflammatory drugs (NSAIDs) and glucocorticoids are commonly …
Background and Objectives: Endometriosis is a chronic, estrogen-dependent disorder characterized by the presence of functional endometrial tissue, comprising both glandular and stromal components, located outside the uterine cavity, affecting approximately …
Around 18% to 33% of couples with infertility present with tubal occlusion (blocked or damaged fallopian tubes) or hydrosalpinx (fluid-filled tubes). Diagnostic laparoscopy (keyhole surgery) with chromopertubation (methylene blue dye …
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 …
To decrease the existing diagnostic delay of pelvic endometriosis, the Society of Radiologists in Ultrasound (SRU) has proposed consensus criteria using augmented pelvic ultrasound (APU) technique and reporting guidelines based …