To develop a machine learning method for the automatic recognition of endometriosis lesions during laparoscopic surgery and evaluate its feasibility and performance.
Gynecological diseases (GyD) are related to reproductive tissue disorders such as the cervix, vagina, fallopian tubes, and ovaries, which can affect fertility. Among these diseases, we can mention endometriosis, ovarian …
Sex-related differences influence key biological processes relevant to biomaterials research, including tissue regeneration, immune response, drug metabolism, and relevant diseases. Despite increasing recognition of sex as a critical biological variable, …
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 …
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 …