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Context-aware Monitoring in Robotic Surgery
[article]
2019
arXiv
pre-print
Robotic-assisted minimally invasive surgery (MIS) has enabled procedures with increased precision and dexterity, but surgical robots are still open loop and require surgeons to work with a tele-operation console providing only limited visual feedback. In this setting, mechanical failures, software faults, or human errors might lead to adverse events resulting in patient complications or fatalities. We argue that impending adverse events could be detected and mitigated by applying
arXiv:1901.09802v1
fatcat:cvmxp26curgqvld5b2dxm4ldvy