机器人
计算机科学
不可用
移情
资源(消歧)
经济短缺
支气管镜检查
稀缺
医学
人工智能
外科
工程类
计算机网络
语言学
哲学
精神科
政府(语言学)
经济
可靠性工程
微观经济学
作者
Jingyu Zhang,Lilu Liu,Pingyu Xiang,Qin Fang,Xiuping Nie,Huilin Ma,Jian Hu,Rong Xiong,Yue Wang,Haojian Lu
标识
DOI:10.1038/s41467-023-44385-7
摘要
Abstract The unequal distribution of medical resources and scarcity of experienced practitioners confine access to bronchoscopy primarily to well-equipped hospitals in developed regions, contributing to the unavailability of bronchoscopic services in underdeveloped areas. Here, we present an artificial intelligence (AI) co-pilot bronchoscope robot that empowers novice doctors to conduct lung examinations as safely and adeptly as experienced colleagues. The system features a user-friendly, plug-and-play catheter, devised for robot-assisted steering, facilitating access to bronchi beyond the fifth generation in average adult patients. Drawing upon historical bronchoscopic videos and expert imitation, our AI–human shared control algorithm enables novice doctors to achieve safe steering in the lung, mitigating misoperations. Both in vitro and in vivo results underscore that our system equips novice doctors with the skills to perform lung examinations as expertly as seasoned practitioners. This study offers innovative strategies to address the pressing issue of medical resource disparities through AI assistance.
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