AIMC Topic: Education, Medical, Continuing

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The significance of spatial cognitive ability in robot-assisted surgery.

Surgical endoscopy
BACKGROUND: Robot-assisted surgery using the da Vinci Surgical System provides three-dimensional images. However, no research has yet been done on the relationship between the system's operation and spatial cognitive ability. This study focuses on th...

Comparative analysis of the functionality of simulators of the da Vinci surgical robot.

Surgical endoscopy
BACKGROUND: The implementation of robotic technology in minimally invasive surgery has led to the need to develop more efficient and effective training methods, as well as assessment and skill maintenance tools for surgical education. Multiple simula...

Simultaneous development of laparoscopy and robotics provides acceptable perioperative outcomes and shows robotics to have a faster learning curve and to be overall faster in rectal cancer surgery: analysis of novice MIS surgeon learning curves.

Surgical endoscopy
BACKGROUND: Laparoscopy offers some evidence of benefit compared to open rectal surgery. Robotic rectal surgery is evolving into an accepted approach. The objective was to analyze and compare laparoscopic and robotic rectal surgery learning curves wi...

Human vs Machine: The Future of Decision-making in Plastic and Reconstructive Surgery.

Aesthetic surgery journal
BACKGROUND: Artificial intelligence-driven technologies offer transformative potential in plastic surgery, spanning preoperative planning, surgical procedures, and postoperative care, with the promise of improved patient outcomes.

Feasibility and Educational Value of Clinical Cases Generated Using Large Language Models.

Studies in health technology and informatics
In medical education, case-based learning (CBL) is a fundamental method for training healthcare professionals across different levels of expertise. This approach hinges on using authentic or fabricated clinical cases to bridge the gap between theoret...

Machine Learning to Identify Clusters in Family Medicine Diplomate Motivations and Their Relationship to Continuing Certification Exam Outcomes: Findings and Potential Future Implications.

Journal of the American Board of Family Medicine : JABFM
BACKGROUND: The potential for machine learning (ML) to enhance the efficiency of medical specialty boards has not been explored. We applied unsupervised ML to identify archetypes among American Board of Family Medicine (ABFM) Diplomates regarding the...

Artificial Intelligence Competencies in Postgraduate Medical Training in Germany.

Studies in health technology and informatics
Routine medical care is to be transformed by the introduction of artificial intelligence (AI), requiring medical professionals to acquire a novel set of skills. We assessed the density of AI learning objectives and the availability of courses contain...

The role of artificial intelligence in learning and professional development for healthcare professionals.

Healthcare management forum
This article discusses the emerging role of Artificial Intelligence (AI) in the learning and professional development of healthcare professionals. It provides a brief history of AI, current and past applications in healthcare education and training, ...

Robotics in urology.

Annals of the Royal College of Surgeons of England
Twenty years after it was introduced, robotic surgery has become more commonplace in urology – we examine its current uses and controversies