TongueNet-GYN: a multimodal deep learning framework for non-invasive gynecological disease screening in digital public health.
Gynecological diseases, such as polycystic ovary syndrome (PCOS) and endometriosis, are prevalent global health concerns. Conventional diagnostics often rely on invasive procedures or costly imaging, limiting accessibility in resource-constrained settings. …
Robotic versus laparoscopic enucleation of ovarian endometriotic cysts with pathological analysis of inadvertent follicular loss.
Ovarian endometrioma cystectomy may compromise ovarian reserve through inadvertent excision of ovarian cortex. We compared inadvertent cortical removal between robotic-assisted and conventional laparoscopic cystectomy using digital pathology. We retrospectively analyzed …
Real-World Implementation of EndoConnect in Brazilian Primary Care: Formative Study of Usability, Engagement, and Equity in Digital Endometriosis Care.
Endometriosis is a chronic gynecological condition affecting approximately 10% of women of reproductive age worldwide and is associated with chronic pelvic pain, infertility, and reduced quality of life. In Brazil's …