Xinling Zhang
ORCID: 0000-0002-7021-3533
· 2 papers in corpus
OBJECTIVE: This study aims to develop and validate an artificial intelligence (AI) model based on ultrasound (US) videos and images to improve the performance of junior sonologists in detecting deep infiltrating endometriosis (DE). METHODS…
BackgroundComprehensive sonographic evaluation of pre- and postmenopausal women with abnormal uterine bleeding is essential for accurate diagnosis and the optimization of curative outcomes for endometrial malignancy. Microvascular flow imag…