AI co-pilot bronchoscope robot

Jingyu Zhang, Lilu Liu, Pingyu Xiang, Qin Fang, Xiuping Nie, Honghai Ma, Jian Hu, Rong Xiong (), Yue Wang () and Haojian Lu ()
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Jingyu Zhang: Zhejiang University
Lilu Liu: Zhejiang University
Pingyu Xiang: Zhejiang University
Qin Fang: Zhejiang University
Xiuping Nie: Zhejiang University
Honghai Ma: Zhejiang University
Jian Hu: Zhejiang University
Rong Xiong: Zhejiang University
Yue Wang: Zhejiang University
Haojian Lu: Zhejiang University

Nature Communications, 2024, vol. 15, issue 1, 1-13

Abstract: 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.

Date: 2024
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DOI: 10.1038/s41467-023-44385-7

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