This case report demonstrates the enhanced visualization capabilities of FAPI in visualizing deep infiltrating endometriosis (DIE) lesions compared to ultrasonography and MRI, suggesting its potential as a powerful diagnostic tool …
The dynamics of peritoneal fluid has vital applications in various physiological functions, particularly in female reproductive physiology, which modulates the transport of gametes within the fallopian tubes. This research aims …
Fibroblast growth factor receptor 2 (FGFR2) has emerged as a highly promising therapeutic target due to its critical role in the pathogenesis and progression of endometriosis. To date, a variety …
This study aims to develop and validate a Multi-Dimensional Computational Screening (MDCS) strategy to identify bioactive components by jointly considering target affinity, exposure potential, and safety, using Liangdi decoction (LDD) …
The ascent of novel alternative methods in drug development spotlights the dual needs for improved biological fidelity to in vivo, along with reproducibility, especially in regulatory applications. The need for …
Uterine pain associated with labor, dysmenorrhea, or endometriosis is often driven by inflammation, which enhances nociceptive signaling and contributes to hyperalgesia. Although nonsteroidal anti-inflammatory drugs (NSAIDs) and glucocorticoids are commonly …
To systematically evaluate the methodological quality and diagnostic performance of artificial intelligence (AI) applications, specifically machine learning (ML) and deep learning (DL), in the diagnosis of endometriosis through imaging and …
Sex hormone related disorders, characterized by complex etiology and long-term health risks, pose a significant challenge to global health. Hormone-based therapies are often accompanied by adverse effects and fail to …
To demonstrate the step-by-step application of intraluminal indocyanine green (ICG) in endometriosis and adenomyosis surgery, including mucosa-sparing shaving of deep bladder and rectal nodules and excision of superficial tubal endometriosis.
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).