
doi: 10.1002/rcs.2036
pmid: 31490615
AbstractBackgroundManual control of the camera arm in telerobotic surgical systems requires the surgeon to repeatedly interrupt the flow of the surgery. During surgery, there are instances when one or even both tools can drift out of the field of view. These issues may lead to increased workload and potential errors.MethodsWe performed a 20‐participant subject study (including four surgeons) to compare different methods of camera control on a customized da Vinci Surgical System. We tested (a) an autonomous camera algorithm, (b) standard clutched control, and (c) an experienced camera operator using a joystick.ResultsThe automated algorithm surpassed the traditional method of clutched camera control in measures of userperceived workload, efficiency, and progress. Additionally, it was consistently able to generate more centered and appropriately zoomed viewpoints than the other methods while keeping both tools safely inside the camera's field of view.ConclusionsClinical systems of the future should consider automating the camera control aspects of robotic surgery.
Machine Learning, Surgeons, Robotic Surgical Procedures, Surgery, Computer-Assisted, Calibration, Humans, Laparoscopy, Equipment Design, Algorithms, Software
Machine Learning, Surgeons, Robotic Surgical Procedures, Surgery, Computer-Assisted, Calibration, Humans, Laparoscopy, Equipment Design, Algorithms, Software
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 34 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
