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 …
Menopause, endometriosis, miscarriage, and female infertility are health issues affecting women worldwide (nearly half the global population). The biomedical literature is human-readable and evergrowing with around 3.5K papers published daily. …
Gynecological diseases-encompassing polycystic ovary syndrome, endometriosis, infertility, and malignancies-represent a significant global health burden affecting women's quality of life, reproductive capacity, and long-term health outcomes. While traditional diagnostics rely on …
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 …