A vision transformer deep learning model for assessing pediatric ileocolic intussusception severity using ultrasound images
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Timely identification of children with ileocolic intussusception likely to fail air-enema reduction is critical to avoid delays and bowel perforation. However, even expert sonographers show inter-observer variability. We developed and prospectively validated a... ...
