Latest AI and machine learning research in fibroids for healthcare professionals.
STUDY OBJECTIVE: The Hominis surgical system is a novel robot-assisted system, designed specifically...
BACKGROUND: We hypothesized that the total operative time of robot myomectomy (RM) is shorter than t...
PURPOSE: To develop and validate a deep learning model based on routine magnetic resonance (MR) imag...
This study aimed to develop a diagnostic algorithm for preoperative differentiating uterine sarcoma ...
PURPOSE: Vitamin D deficiency has been proposed to be a risk factor in the pathogenesis of uterine f...
OBJECTIVES: Nerve-sparing radical hysterectomy has been implemented in order to reduce pelvic floor ...
AIMS: The study aimed to determine the accuracy of deep neural network in identifying the plane betw...
BACKGROUND: This study aims at evaluating the feasibility, surgical outcome and oncological results ...
BACKGROUND: Abdominal hysterectomy (AH) is painful. The aim of this study was to compare intrathecal...
BACKGROUND: Computational intelligence methods, including non-linear classification algorithms, can ...
PURPOSE: To compare outcomes of percutaneous robot-assisted uterine fibroid embolization (UFE) using...
STUDY OBJECTIVE: To introduce the innovative surgical procedure of treating benign uterine pathology...
INTRODUCTION: The objective was to assess the impact of robot-assisted radical hysterectomy (RRH) on...
OBJECTIVE: To evaluate the feasibility and the safety of robotic single site hysterectomy (RSSH) plu...
STUDY OBJECTIVE: To evaluate the feasibility and safety of vaginal vault drainage after complicated ...
OBJECTIVE: To compare perioperative and clinico-pathological outcomes of patients with early-stage c...
BACKGROUND: The purpose of this retrospective study was to assess the 5-year survival outcomes of ce...