AIMC Topic: Education, Medical, Graduate

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Implementation of a standardized robotic assistant surgical training curriculum.

Journal of robotic surgery
Since 2000, robotic-assisted surgery has rapidly expanded into almost every surgical sub-specialty. Despite the popularity of robotic surgery across the United States, a national consensus for standardized training and education of robotic surgeons o...

Developing a Robotic General Surgery Training Curriculum: Identifying Key Elements Through a Delphi Process.

Journal of surgical education
OBJECTIVE: A national robotic surgery curriculum is still developing for general surgery residents as robotic surgery becomes increasingly accessible. One general surgery residency program utilized a Delphi process to optimize a robotic surgery curri...

Detection of oedema on optical coherence tomography images using deep learning model trained on noisy clinical data.

Acta ophthalmologica
PURPOSE: To meet the demands imposed by the continuing growth of the Age-related macular degeneration (AMD) patient population, automation of follow-ups by detecting retinal oedema using deep learning might be a viable approach. However, preparing an...

Surgical training fit for the future: the need for a change.

Postgraduate medical journal
Postgraduate training in surgical specialties is one of the longest training programmes in the medical field. Most of the surgical training programmes require 5-6 years of postgraduate training to become qualified. This is usually followed by 1-2 yea...

Robotic General Surgery Resident Training Curriculum: A Pilot Experience.

Surgical laparoscopy, endoscopy & percutaneous techniques
BACKGROUND: The purpose of this study was to report the impact of a pilot robotic general surgery resident training curriculum.

The era of artificial intelligence and virtual reality: transforming surgical education in ophthalmology.

The British journal of ophthalmology
Training the modern ophthalmic surgeon is a challenging process. Microsurgical education can benefit from innovative methods to practice surgery in low-risk simulations, assess and refine skills in the operating room through video content analytics, ...

Performance of a Machine Learning Algorithm in Predicting Outcomes of Aortic Valve Replacement.

The Annals of thoracic surgery
BACKGROUND: This study evaluated the performance of a machine learning (ML) algorithm in predicting outcomes of surgical aortic valve replacement (SAVR).