BACKGROUND: High-quality and high-utility feedback allows for the development of improvement plans for trainees. The current manual assessment of the quality of this feedback is time consuming and subjective. We propose the use of machine learning to...
The Journal of bone and joint surgery. American volume
Dec 4, 2019
BACKGROUND: With the emergence of competency-based training, the current evaluation scheme of surgical skills is evolving to include newer methods of assessment and training. Artificial intelligence through machine learning algorithms can utilize ext...
Annals of the Academy of Medicine, Singapore
Jan 1, 2018
Surgical traineeship has traditionally been based on a master apprentice model where learning takes place in the operating theatre. This approach has changed over the past few years with greater emphasis on surgical training taking place within the s...
Medical decision-making is increasingly based on quantifiable data. From the moment patients come into contact with the health care system, their entire medical history is recorded electronically. Whether a patient is in the operating room or on the ...
Surgical laparoscopy, endoscopy & percutaneous techniques
Oct 1, 2015
PURPOSE: Implementation of a robotic system may influence surgical training. The aim was to report the charge of the operating surgeon and the bedside assistant at robot-assisted procedures in urology, gynecology, and colorectal surgery.
OBJECTIVE: To examine the feasibility and outcomes of video-based peer feedback through social networking to facilitate robotic surgical skill acquisition.
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