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 …
Predictive tools are lacking for pain-related outcomes after endometriosis surgery. The objective of this study was to develop and validate a machine learning-based clinical model to predict poor pain-related quality …
We present a case of a very rare benign ovarian tumor, a sclerosing stromal tumor (SST). In addition, we performed a review of the literature to describe the spectrum of …
To explore the performance of ChatGPT version 4.0 (GPT-4) and Gemini Advanced (Gemini) large language models (LLMs) in addressing common patient questions after gynecology surgery with regards to accuracy, relevance, …
Hysterectomy is the regimen of choice for benign gynecologic diseases, including uterine myoma, adenomyosis, endometriosis, and genital prolapse. Surgeons choose hysterectomy methods based on clinical situations or patients' preferences. Even …
Excision of deep infiltrating endometriosis in the parametrium involving pelvic nerves can be challenging and requires good anatomical knowledge and surgical strategy (1). Based on our experience, we have identified …
Objectives: The peritoneal cavity is a cavity outside the bloodstream, with a specific hormonal, immunological and microbiological micro-environment distinct from plasma. The mesothelial cells lining the peritoneal cavity react within …
Endometriosis is a chronic, systemic, oestrogen-dependent disease with major impacts on pain, fertility and quality of life. This Society of Endometriosis and Uterine Disorders and American Institute for Minimally Invasive …
To demonstrate nerve-guided dissection as an anatomical orientation strategy and the importance of tissue attributes in reconstructing safe dissection planes in deep endometriosis (DE) surgery, with postoperative AI-enhanced anatomical visualization …