Evaluating the effect of an artificial intelligence system on the anesthesia quality control during gastrointestinal endoscopy with sedation: a randomized controlled trial

Cheng Xu, Yijie Zhu, Lianlian Wu, Honggang Yu, Jun Liu, Fang Zhou, Qiutang Xiong, Shanshan Wang, Shanshan Cui, Xu Huang, Anning Yin, Tingting Xu, Shaoqing Lei & Zhongyuan Xia
Abstract Background Sedative gastrointestinal endoscopy is extensively used worldwide. An appropriate degree of sedation leads to more acceptability and satisfaction. Artificial intelligence has rapidly developed in the field of digestive endoscopy in recent years and we have constructed a mature computer-aided diagnosis (CAD) system. This system can identify the remaining parts to be examined in real-time endoscopic procedures, which may help anesthetists use anesthetics properly to keep patients in an appropriate degree of sedation. Aims...
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