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 …
Preimplantation genetic testing for aneuploidy (PGT-A) is widely used to screen for embryo aneuploidy, enabling the selection and transfer of genetically normal embryos. Despite its potential to improve clinical outcomes, …
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 …
Menstruation has long been framed primarily as a hygiene issue, with mainstream products and public messaging emphasizing concealment and disposal of menstrual blood (MB). This has contributed to a culture …
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 …
Endometriosis is a systemic gynecological disorder affecting ~ 10% of reproductive-aged women and shares pathophysiological features with cardiovascular disease (CVD). However, its associations with cardiac remodeling and CVD risk, as …
Estradiol (E2), a sex steroid hormone molecule, plays a key role in regulating the actin and shape dynamics of cells in a multitude of normal and pathophysiological conditions. While cytoskeletal …
Cardiovascular disease is the leading cause of morbidity and mortality in women, and its development results from both traditional risk factors and female-specific determinants that emerge across the life course. …
Endometriosis is a chronic gynecological disorder that affects approximately 10% of women of reproductive age. In adolescents, it frequently remains underdiagnosed due to the heterogeneity of its clinical presentation. Pelvic …
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 …