Abstract
AbstractThe 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.
Publisher
Springer Science and Business Media LLC
Reference43 articles.
1. Siegel, R. L., Miller, K. D., Fuchs, H. E. & Jemal, A. Cancer statistics. CA: Cancer J. Clin. 72, 7–33 (2022).
2. Minna, J. D., Roth, J. A. & Gazdar, A. F. Focus on lung cancer. Cancer Cell 1, 49–52 (2002).
3. Richeldi, L. et al. Digital Lung auscultation: will early diagnosis of fibrotic interstitial lung disease become a reality? Am. J. Respir. Crit. Care Med. 200, 261–263 (2019).
4. Fulkerson, W. J. Fiberoptic bronchoscopy. N. Engl. J. Med. 311, 511–515 (1984).
5. Reck, M., Heigener, D. F., Mok, T., Soria, J.-C. & Rabe, K. F. Management of non-small-cell lung cancer: recent developments. Lancet 382, 709–719 (2013).
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