Predicting mucosal healing in Crohn’s disease: development of a deep-learning model based on intestinal ultrasound images

Predicting mucosal healing in Crohn’s disease: development of a deep-learning model based on intestinal ultrasound images

Abstract Objective Predicting treatment response in Crohn’s disease (CD) is essential for making an optimal therapeutic regimen, but relevant models are lacking. This study aimed to develop a deep learning model based on baseline intestinal ultrasound (IUS) images and clinical information to predict...

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Main Authors: Li Ma, Yuepeng Chen, Xiangling Fu, Jing Qin, Yanwen Luo, Yuanjing Gao, Wenbo Li, Mengsu Xiao, Zheng Cao, Jialin Shi, Qingli Zhu, Chenyi Guo, Ji Wu
Format: Article
Language:English
Published: SpringerOpen 2025-06-01
Series:Insights into Imaging
Subjects:
Crohn’s disease
Outcome prediction
Deep learning
Intestinal ultrasound.
Online Access:https://doi.org/10.1186/s13244-025-02014-5
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https://doi.org/10.1186/s13244-025-02014-5

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