Cognitive skills assessment during robot‐assisted surgery: separating the wheat from the chaff

To investigate the utility of cognitive assessment during robot‐assisted surgery (RAS) to define skills in terms of cognitive engagement, mental workload, and mental state; while objectively differentiating between novice and expert surgeons.

[1]  Gustavo Deco,et al.  Human Neuroscience Original Research Article Cortical Microcircuit Dynamics Mediating Binocular Rivalry: the Role of Adaptation in Inhibition , 2022 .

[2]  Thomas R Carretta,et al.  Predictive validity of pilot selection instruments for remotely piloted aircraft training outcome. , 2013, Aviation, space, and environmental medicine.

[3]  Chris Berka,et al.  Eeg-Derived Estimators of Present and Future Cognitive Performance , 2011, Front. Hum. Neurosci..

[4]  Elliot Bendoly,et al.  In “the zone”: The role of evolving skill and transitional workload on motivation and realized performance in operational tasks , 2008 .

[5]  S. Dreyfus,et al.  A Five-Stage Model of the Mental Activities Involved in Directed Skill Acquisition , 1980 .

[6]  M. Hegarty,et al.  Spatial ability, experience, and skill in laparoscopic surgery. , 2004, American journal of surgery.

[7]  Michelle N. Lumicao,et al.  EEG correlates of task engagement and mental workload in vigilance, learning, and memory tasks. , 2007, Aviation, space, and environmental medicine.

[8]  Ronald H. Stevens,et al.  Integrating EEG Models of Cognitive Load with Machine Learning Models of Scientific Problem Solving , 2013 .

[9]  K. A. Ericsson,et al.  The Road To Excellence: The Acquisition of Expert Performance in the Arts and Sciences, Sports, and Games , 1996 .

[10]  Thenkurussi Kesavadas,et al.  Development and validation of a composite scoring system for robot-assisted surgical training--the Robotic Skills Assessment Score. , 2013, The Journal of surgical research.

[11]  Beverly Park Woolf,et al.  A Dynamic Mixture Model to Detect Student Motivation and Proficiency , 2006, AAAI.

[12]  M C Morrison,et al.  Surgical training. , 1992, Annals of the Royal College of Surgeons of England.

[13]  I. Gill,et al.  Face, content and construct validity of a novel robotic surgery simulator. , 2011, The Journal of urology.

[14]  Mark R. Wilson,et al.  Implicit motor learning promotes neural efficiency during laparoscopy , 2011, Surgical Endoscopy.

[15]  P. Dasgupta,et al.  Current status of validation for robotic surgery simulators – a systematic review , 2013, BJU international.

[16]  Ivon Arroyo,et al.  Emotional intelligence for computer tutors , 2008 .

[17]  J. Kaouk,et al.  Fundamental skills of robotic surgery: a multi-institutional randomized controlled trial for validation of a simulation-based curriculum. , 2013, Urology.

[18]  D. BRADLEY,et al.  The Psychophysiology of Sport A Mechanistic Understanding of the Psychology of Superior Performance , 2006 .

[19]  Pamela B Andreatta,et al.  The impact of stress factors in simulation-based laparoscopic training. , 2010, Surgery.

[20]  D. Tabatabai,et al.  The acquisition of tacit knowledge in medical education: learning by doing , 2006, Medical education.

[21]  A. L. Schueneman,et al.  Neuropsychologic predictors of operative skill among general surgery residents. , 1984, Surgery.

[22]  G C Galbraith,et al.  EEG correlates of visual-motor practice in man. , 1975, Electroencephalography and clinical neurophysiology.

[23]  J P Maxwell,et al.  Implicit motor learning in surgery: implications for multi-tasking. , 2008, Surgery.

[24]  Chris Berka,et al.  Real-Time Analysis of EEG Indexes of Alertness, Cognition, and Memory Acquired With a Wireless EEG Headset , 2004, Int. J. Hum. Comput. Interact..