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Aiqin Lin

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Open access Jul 2026

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.

Jie Liu, Yue Wang, Danping Zeng et al. · 0 citations

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