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pro vyhledávání: '"Iwaki, Hidekazu"'
Autor:
Ban, Yutong, Rosman, Guy, Eckhoff, Jennifer A., Ward, Thomas M., Hashimoto, Daniel A., Kondo, Taisei, Iwaki, Hidekazu, Meireles, Ozanan R., Rus, Daniela
Comprehension of surgical workflow is the foundation upon which artificial intelligence (AI) and machine learning (ML) holds the potential to assist intraoperative decision-making and risk mitigation. In this work, we move beyond mere identification
Externí odkaz:
http://arxiv.org/abs/2105.04642
Autor:
Ban, Yutong, Rosman, Guy, Ward, Thomas, Hashimoto, Daniel, Kondo, Taisei, Iwaki, Hidekazu, Meireles, Ozanan, Rus, Daniela
Analyzing surgical workflow is crucial for surgical assistance robots to understand surgeries. With the understanding of the complete surgical workflow, the robots are able to assist the surgeons in intra-operative events, such as by giving a warning
Externí odkaz:
http://arxiv.org/abs/2009.00681
Akademický článek
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Publikováno v:
Systems & Computers in Japan; 6/30/2002, Vol. 33 Issue 7, p114-123, 10p
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2009; Vol. 2009, pp. 6722-5.