A multi-camera, multi-view system for training and skill assessment for robot-assisted surgery

Abdelaal, Alaa Eldin; Avinash, Apeksha; Kalia, Megha; Hager, Gregory D.; Salcudean, Septimiu E.

doi:10.1007/s11548-020-02176-1

Cited by 8 publications

(1 citation statement)

References 25 publications

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“…To use the video data effectively, one should overcome some common obstacles like occlusion and clutter. Using multiple cameras, if possible, can greatly assist in this procedure Abdelaal et al (2020) . In conclusion, it can be said that each type of data has its own merits and limitations, and using kinematic data as well as the video may result in a richer dataset.…”

Section: Data Driven Scoringmentioning

confidence: 99%

Applications of Haptic Technology, Virtual Reality, and Artificial Intelligence in Medical Training During the COVID-19 Pandemic

et al. 2021

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This paper examines how haptic technology, virtual reality, and artificial intelligence help to reduce the physical contact in medical training during the COVID-19 Pandemic. Notably, any mistake made by the trainees during the education process might lead to undesired complications for the patient. Therefore, training of the medical skills to the trainees have always been a challenging issue for the expert surgeons, and this is even more challenging in pandemics. The current method of surgery training needs the novice surgeons to attend some courses, watch some procedure, and conduct their initial operations under the direct supervision of an expert surgeon. Owing to the requirement of physical contact in this method of medical training, the involved people including the novice and expert surgeons confront a potential risk of infection to the virus. This survey paper reviews recent technological breakthroughs along with new areas in which assistive technologies might provide a viable solution to reduce the physical contact in the medical institutes during the COVID-19 pandemic and similar crises.

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Section: Data Driven Scoringmentioning

confidence: 99%