Journal Article10.1016/J.APERGO.2020.103251
Sensor-based indicators of performance changes between sessions during robotic surgery training.
Chuhao Wu,Jackie S. Cha,Jay Sulek,Chandru P. Sundaram,Juan P. Wachs,Robert W. Proctor,Denny Yu +6 more
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TL;DR: Findings suggest that cognitive and behavioral metrics correlate with changes in performance between sessions, which can complement current feedback tools used by medical educators and learners for skills assessment in robotic surgery training.
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About: This article is published in Applied Ergonomics. The article was published on 01 Jan 2021. The article focuses on the topics: Workload.
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Citations
A systematic review on artificial intelligence in robot-assisted surgery.
Andrea Moglia,Konstantinos Georgiou,Evangelos Georgiou,Richard M. Satava,Alfred Cuschieri,Alfred Cuschieri +5 more
TL;DR: In this article, a literature search was conducted on PubMed, Web of Science, Scopus, and IEEExplore according to PRISMA 2020 statement to identify and discuss current limitations and challenges.
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In robot we trust? The effect of emotional expressions and contextual cues on anthropomorphic trustworthiness.
Yao Song,Da Tao,Yan Luximon +2 more
TL;DR: In this paper , the role of emotional expressions and contextual cues in influencing anthropomorphic trustworthiness of social robots has been discussed from a design perspective, where the authors designed a specific robot prototype and conducted two lab experiments to explore the effect of emotions on trustworthiness via subjective ratings and physiological measures.
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Quantifying Workload and Stress in Intensive Care Unit Nurses: Preliminary Evaluation Using Continuous Eye-Tracking.
TL;DR: Eye-tracking technology can be used to assess the temporal variation of stress and associated changes with mental workload in the ICU environment and a real-time system could be developed for monitoring stress and workload for intervention development.
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Exploring the roles of artificial intelligence in surgical education: A scoping review
TL;DR: In this article , the authors explore the current and future roles of AI in surgical education and present a scoping review of AI applications in the field of surgical education, which can help optimize the education of trainees.
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Simulation-Based Training in Robotic Surgery: Contemporary and Future Methods.
Lucas W. Thornblade,Yuman Fong +1 more
TL;DR: In this paper, the authors use simulation to train surgeons in basic tasks, complex operative steps, and coordination of whole operations with members of the entire operating room (OR) staff.
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