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Guo,J. (2023). The Development of Medical Robotics in the Context of Artificial Intelligence. Applied and Computational Engineering,8,1-6.
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The Development of Medical Robotics in the Context of Artificial Intelligence

Jiajun Guo *,1,
  • 1 University of Liverpool

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/8/20230053

Abstract

The emergence of artificial intelligence (AI) technology has once again promoted the development of robots by making them more efficient, independent, and intelligent. With the progress of the times, the two promote each other and develop together in many fields, especially in the field of medical and health. This paper describes the strengths and limitations of surgical robots and intelligent medical robots as well as their possible development trend in the future from both hardware and software aspects. Conclusions can be drawn that, on the one hand, surgical robots can improve the safety and reliability of the surgery and intelligent medical robots can help achieve drug research and development, intelligent diagnosis and treatment, intelligent image recognition, etc. These can help doctors make diagnoses and treatments more accurately; on the other hand, it is difficult to install an electronic sensor on the mechanical arm at present, the current positioning technology is not perfect, and the rotation angle of the mechanical arm is limited. These limitations improve the difficulty for doctors to use surgical robots. However, with the continuous progress of robot and AI technology, the limitations of many surgical robots can be improved and more targeted AI technology can be developed and applied in specific fields.

Keywords

robot, artificial intelligence, surgical robot, software, hardware, ethics

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Cite this article

Guo,J. (2023). The Development of Medical Robotics in the Context of Artificial Intelligence. Applied and Computational Engineering,8,1-6.

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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2023 International Conference on Software Engineering and Machine Learning

Conference website: http://www.confseml.org
ISBN:978-1-915371-63-8(Print) / 978-1-915371-64-5(Online)
Conference date: 19 April 2023
Editor:Anil Fernando, Marwan Omar
Series: Applied and Computational Engineering
Volume number: Vol.8
ISSN:2755-2721(Print) / 2755-273X(Online)

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