Zhi-Feng Li

A vision transformer deep learning model for assessing pediatric ileocolic intussusception severity using ultrasound images.

A Vision Transformer deep learning system is developed and prospectively validated to predict reduction failure from static B-mode ultrasound images to assess pediatric ileocolic intussusception severity, providing an objective, accurate tool to support clinical decision-making and reduce treatment risks.