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AI co-pilot bronchoscope robot.
Zhang, Jingyu; Liu, Lilu; Xiang, Pingyu; Fang, Qin; Nie, Xiuping; Ma, Honghai; Hu, Jian; Xiong, Rong; Wang, Yue; Lu, Haojian.
Affiliation
  • Zhang J; State Key Laboratory of Industrial Control and Technology, Zhejiang University, 310027, Hangzhou, China.
  • Liu L; Institute of Cyber-Systems and Control, Department of Control Science and Engineering, Zhejiang University, 310027, Hangzhou, China.
  • Xiang P; State Key Laboratory of Industrial Control and Technology, Zhejiang University, 310027, Hangzhou, China.
  • Fang Q; Institute of Cyber-Systems and Control, Department of Control Science and Engineering, Zhejiang University, 310027, Hangzhou, China.
  • Nie X; State Key Laboratory of Industrial Control and Technology, Zhejiang University, 310027, Hangzhou, China.
  • Ma H; Institute of Cyber-Systems and Control, Department of Control Science and Engineering, Zhejiang University, 310027, Hangzhou, China.
  • Hu J; State Key Laboratory of Industrial Control and Technology, Zhejiang University, 310027, Hangzhou, China.
  • Xiong R; Institute of Cyber-Systems and Control, Department of Control Science and Engineering, Zhejiang University, 310027, Hangzhou, China.
  • Wang Y; State Key Laboratory of Industrial Control and Technology, Zhejiang University, 310027, Hangzhou, China.
  • Lu H; Institute of Cyber-Systems and Control, Department of Control Science and Engineering, Zhejiang University, 310027, Hangzhou, China.
Nat Commun ; 15(1): 241, 2024 Jan 04.
Article in En | MEDLINE | ID: mdl-38172095
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Robotics / Pilots Limits: Adult / Humans Language: En Journal: Nat Commun Journal subject: BIOLOGIA / CIENCIA Year: 2024 Document type: Article Affiliation country: China Country of publication: Reino Unido

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Robotics / Pilots Limits: Adult / Humans Language: En Journal: Nat Commun Journal subject: BIOLOGIA / CIENCIA Year: 2024 Document type: Article Affiliation country: China Country of publication: Reino Unido