AI Medical Compendium Topic

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Internship and Residency

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Artificial Intelligence Distinguishes Surgical Training Levels in a Virtual Reality Spinal Task.

The Journal of bone and joint surgery. American volume
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...

Can Robots Accelerate the Learning Curve for Surgical Training? An Analysis of Residents and Medical Students.

Annals of the Academy of Medicine, Singapore
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...

Big Data and Machine Learning in Plastic Surgery: A New Frontier in Surgical Innovation.

Plastic and reconstructive surgery
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 Residents are Excluded From Robot-assisted Surgery.

Surgical laparoscopy, endoscopy & percutaneous techniques
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.