Far more complex than merely a single system disorder, endometriosis requires a nuanced, patient-centered approach grounded in multidisciplinary care. Nurses play a vital role in this framework, working collaboratively with …
Background and Objectives: Augmented reality (AR), mixed reality (MR), computer vision, artificial intelligence (AI), and three-dimensional (3D) modeling may be particularly relevant in fertility-preserving gynecologic surgery, where disease must be …
Endometriosis is a chronic inflammatory condition that can result in chronic pain through complex nociceptive, neuropathic, and nociplastic pathways. This article provides a comprehensive background on endometriosis as well as …
Perimenopause is a clinically distinct stage in which abnormal uterine bleeding, fibroids, adenomyosis, endometriosis, and adnexal pathology may require surgical evaluation. Management is complex because symptom burden and structural disease …
To compare the quality of AI-generated responses to gynecologic post-operative questions with educational materials published by professional societies.
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).
This study evaluates the association between patient age and postoperative complications following laparoscopic hysterectomy (LH) for endometriosis and between patient age and operative time.
To evaluate variation in ovarian preservation and excision of extra-ovarian endometriosis during endometrioma surgery across gynecologic subspecialties.
To describe the current state of AAGL-FMIGS fellowship programs, assessing case volume, case types, and differences among programs.
To demonstrate the laparoscopic management of bilateral round ligament endometriosis SETTING: A tertiary referral center specializing in minimally invasive gynecologic surgery.