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Abstract
Optimal bowel preparation is crucial for successful colonoscopy, yet inadequate preparation remains a significant issue. This study introduces a smartphone app utilizing an AI-based prediction system trained on fecal photographs to assess bowel preparation quality. A prospective, single-masked, multicenter randomized clinical trial compared the app group to a control group. The AI system achieved 95.15% accuracy and 0.98 AUC. The AI-driven app group showed significantly higher rates of adequate bowel preparation (88.54% vs. 65.59%), better compliance with instructions, and increased additional purgative intake. The app significantly improved bowel preparation quality and patient compliance.
Publisher
npj Digital Medicine
Published On
Mar 14, 2023
Authors
Yan Zhu, Dan-Feng Zhang, Hui-Li Wu, Pei-Yao Fu, Li Feng, Kun Zhuang, Zi-Huan Geng, Xun-Kun Li, Xiao-Hong Zhang, Bo-Qun Zhu, Wen-Zheng Qin, Sheng-Ji Lin, Zhen Zhang, Tian-Yin Chen, Yuan Huang, Xiao-Yue Xu, Jing-Zheng Liu, Shuo Wang, Wei Zhang, Quan-Lin Li, Ping-Hong Zhou
Tags
bowel preparation
colonoscopy
smartphone app
AI prediction system
patient compliance
clinical trial
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