Improving the Diagnosis of Endometrial Cancer in Postmenopausal Women in Primary Care Settings Using an Artificial Intelligence-Based Ultrasound Detecting Model Frontiers
Endometriosis poses significant challenges for women of reproductive age, particularly due to its impact on ovarian reserve and fertility. In addition to endometriosis-associated infertility contributing to diminished ovarian reserve by …
Endometriosis significantly impacts the quality of life (QoL) of affected women due to its complex symptomatology. This study aimed to develop a decision tree-based model to identify the key determinants …
Many women with endometriosis turn to digital sources for information. Meanwhile, large language models (LLMs) appear capable of offering health advice. This study aimed to evaluate the potential in answering …
Endometriosis is a chronic condition defined by endometrium-like tissue outside the uterus, with symptoms including pain, infertility, and fatigue. Despite the high prevalence of disease, diagnosis is frequently delayed, in …
Endometriosis, a prevalent women's health condition, is associated with persistent pelvic pain and infertility. Despite ongoing research, its precise disease mechanism remains elusive, impeding the discovery of a definitive cure. …
Artificial intelligence (AI) may have the potential to improve existing diagnostic challenges in endometriosis imaging. To better direct future research, this descriptive review summarizes the general landscape of AI applications …
Could Artificial Intelligence Help Solve Climate Challenges? MSN
Artificial intelligence (AI) uses a process by which machines perform human-like functions such as automated clinical decisions. This may operate efficiently in gynecologic and obstetric emergencies. We aimed to review …
Real world perspectives on endometriosis disease phenotyping through surgery, omics, health data, and artificial intelligence Nature.com