To systematically evaluate the task-specific performance and clinical translational readiness of artificial intelligence (AI) applications across the preoperative, intraoperative, and postoperative phases of minimally invasive gynecologic surgery (MIGS).
To provide health care professionals with an evidence-based approach to the diagnosis and management of endometriosis and its associated symptoms.
The need for reliable preventive medicine tools is growing, especially for diseases with long diagnostic delays, such as endometriosis, which can take several years to diagnose. In this context, cellulose …
To characterize differences between individuals with and without mid-cycle pain in a registry cohort with endometriosis.
Appendix intussusception (AI), with ~200 reported cases, is a rare condition in which the appendix invaginates into the cecum [1]. Etiologies include benign and malignant pathologies including both intraluminal and …
Endometriosis (EMs) affects approximately 10% of reproductive-age women worldwide, yet its pathogenesis remains incompletely understood. Abnormal cell differentiation and somatic mutations in the ectopic endometrial microenvironment play critical roles in …
Peritoneal inclusion cysts (PICs) are benign cystic lesions typically observed in women of reproductive age with prior pelvic surgery, endometriosis, or pelvic inflammatory disease. To date, no cases of PICs …
Heterotopic pregnancy is a rare but potentially life-threatening gynecologic emergency and is particularly uncommon in natural conceptions. Heterotopic pregnancies are prone to misdiagnosis due to the atypical clinical manifestations, especially …
This study aims to analyze the clinical factors affecting embryo quality and quantity in endometriosis patients undergoing in vitro fertilization/intracytoplasmic sperm injection and embryo transfer (IVF/ICSI-ET), thereby providing a reference …