AIMC Topic: Education, Medical, Graduate
Clear Filters Showing 81 to 88 of 88 articles
Surgical data science and artificial intelligence for surgical education.
Journal of surgical oncology
Aug 1, 2021
Surgical data science (SDS) aims to improve the quality of interventional healthcare and its value through the capture, organization, analysis, and modeling of procedural data. As data capture has increased and artificial intelligence (AI) has advanc...
Using Machine Learning to Evaluate Attending Feedback on Resident Performance.
Anesthesia and analgesia
Feb 1, 2021
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...
An Adaptive, Open Source, Faculty Development Platform for Medical Educators in 2030.
Journal of graduate medical education
Jun 1, 2020
Artificial Intelligence Distinguishes Surgical Training Levels in a Virtual Reality Spinal Task.
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...
Training in urological robotic surgery. Future perspectives.
Archivos espanoles de urologia
Jan 1, 2018
As robotics are becoming more integrated into the medical field, robotic training is becoming more crucial in order to overcome the lack of experienced robotic surgeons. However, there are several obstacles facing the development of robotic training ...
Pathway for Surgeons and Programs to Establish and Maintain a Successful Robot-Assisted Adult Cardiac Surgery Program.
The Annals of thoracic surgery
Jul 1, 2016
Kinematics effectively delineate accomplished users of endovascular robotics with a physical training model.
Journal of vascular surgery
Feb 1, 2015
OBJECTIVE: Endovascular robotics systems, now approved for clinical use in the United States and Europe, are seeing rapid growth in interest. Determining who has sufficient expertise for safe and effective clinical use remains elusive. Our aim was to...
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