AI can accurately predict uterine fibroid embolization outcomes

As a result, the researchers wanted to develop and validate a deep-learning model to predict clinical outcomes of UFE based on preprocedure MRI scans. They trained and tested a residual convolutional neural network (ResNet) to predict fibroid volume reduction and clinical outcome using a retrospective cohort of 409 patients with 727 fibroids. All patients included in the study had received preoperative and postoperative MRI.