Advances in cancer therapy, delayed parenthood, and an increasing number of reproductive disorders have intensified the need for the effective preservation of fertility. However, current clinical strategies such as ovarian …
What was done? A review of artificial intelligence (AI) applications for the imaging of uterine fibroids, endometriosis, and adenomyosis. What was found? AI models can assist with the recognition, segmentation, …
Endometriosis is a common gynecological pathology, with an incidence of nearly 10% in patients of reproductive age, and is still underdiagnosed. A thorough and well-spread diagnostic study of endometriosis based …
Diagnosis of endometriosis faces significant challenges including diagnostic delay and reliance on invasive procedures. Deep endometriosis (DE) poses additional difficulties in non-invasive diagnosis due to its subtle and complex imaging …
Background: Women's health has historically served as an incubator for major medical innovations yet often faces relative neglect in sustained funding and implementation. The rise of artificial intelligence (AI) and …
Biomaterials for drug delivery offer significant advantages over conventional medications, including enhanced cellular uptake, improved drug stability, targeted delivery, and controlled drug release. Cutting-edge nanodrugs delivery approaches such as drugs …
Women's risk of mental health conditions fluctuates across the lifespan with hormone-mediated reproductive transitions. Reproductive psychiatry, a relatively new subspecialty, focuses on preventing and treating these conditions throughout various reproductive …
Endometriosis is a chronic gynecological condition characterized by the presence of endometrial-like tissue outside the uterine cavity. Its diagnosis remains a significant clinical challenge, often delayed by 7 to 12 …