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Concepts and Trends n Autonomy for Robot-Assisted Surgery.
Fiorini, Paolo; Goldberg, Ken Y; Liu, Yunhui; Taylor, Russell H.
Afiliação
  • Fiorini P; Department of Computer Science, University of Verona, 37134 Verona, Italy.
  • Goldberg KY; Department of Industrial Engineering and Operations Research and the Department of Electrical Engineering and Computer Science, University of California at Berkeley, Berkeley, CA 94720 USA.
  • Liu Y; Department of Mechanical and Automation Engineering, T Stone Robotics Institute, The Chinese University of Hong Kong, Hong Kong, China.
  • Taylor RH; Department of Computer Science, the Department of Mechanical Engineering, the Department of Radiology, the Department of Surgery, and the Department of Otolaryngology, Head-and-Neck Surgery, Johns Hopkins University, Baltimore, MD 21218 USA, and also with the Laboratory for Computational Sensing and
Proc IEEE Inst Electr Electron Eng ; 110(7): 993-1011, 2022 Jul.
Article em En | MEDLINE | ID: mdl-35911127
Surgical robots have been widely adopted with over 4000 robots being used in practice daily. However, these are telerobots that are fully controlled by skilled human surgeons. Introducing "surgeon-assist"-some forms of autonomy-has the potential to reduce tedium and increase consistency, analogous to driver-assist functions for lanekeeping, cruise control, and parking. This article examines the scientific and technical backgrounds of robotic autonomy in surgery and some ethical, social, and legal implications. We describe several autonomous surgical tasks that have been automated in laboratory settings, and research concepts and trends.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article