AIMC Topic: Internship and Residency

Clear Filters Showing 71 to 80 of 179 articles

Performance of Two Artificial Intelligence Generative Language Models on the Orthopaedic In-Training Examination.

Orthopedics
BACKGROUND: Artificial intelligence (AI) generative large language models are powerful and increasingly accessible tools with potential applications in health care education and training. The annual Orthopaedic In-Training Examination (OITE) is widel...

Competency in Robotic Surgery: Standard Setting for Robotic Suturing Using Objective Assessment and Expert Evaluation.

Journal of surgical education
OBJECTIVE: Surgical skill assessment tools such as the End-to-End Assessment of Suturing Expertise (EASE) can differentiate a surgeon's experience level. In this simulation-based study, we define a competency benchmark for intraoperative robotic sutu...

Conception and prospective multicentric validation of a Robotic Surgery Training Curriculum (RoSTraC) for surgical residents: from simulation via laboratory training to integration into the operation room.

Journal of robotic surgery
There is a lack of training curricula and educational concepts for robotic-assisted surgery (RAS). It remains unclear how surgical residents can be trained in this new technology and how robotics can be integrated into surgical residency training. Th...

Using Natural Language Processing to Evaluate the Quality of Supervisor Narrative Comments in Competency-Based Medical Education.

Academic medicine : journal of the Association of American Medical Colleges
PURPOSE: Learner development and promotion rely heavily on narrative assessment comments, but narrative assessment quality is rarely evaluated in medical education. Educators have developed tools such as the Quality of Assessment for Learning (QuAL) ...

Robotic surgery education in Australia and New Zealand: primetime for a curriculum.

ANZ journal of surgery
BACKGROUND: Globally, robotic surgery (RS) has witnessed remarkable growth, yet Australia and New Zealand (ANZ) lack dedicated RS training programs, creating a workforce gap. This narrative review synthesises international research to explore trends ...

Educating the next generation of radiologists: a comparative report of ChatGPT and e-learning resources.

Diagnostic and interventional radiology (Ankara, Turkey)
Rapid technological advances have transformed medical education, particularly in radiology, which depends on advanced imaging and visual data. Traditional electronic learning (e-learning) platforms have long served as a cornerstone in radiology educa...

Robotic Simulation in Urologic Surgery.

Rhode Island medical journal (2013)
Robotic surgery continues to revolutionize the field of urologic surgery, and thus it is crucial that graduating urologic surgery residents demonstrate proficiency with this technology. The large learning curve of utilizing robotic technology limits ...

Identifying barriers to resident robotic console time in a general surgery residency through a targeted needs assessment.

Journal of robotic surgery
Robotic-assisted general surgery is experiencing exponential growth. Despite our institution's high volume, residents often graduate with inadequate console experience. Our aim was to identify the educational needs of residents and perceived barriers...

Adapting to a Robotic Era: The Transferability of Open and Laparoscopic Skills to Robotic Surgery.

Journal of surgical education
BACKGROUND: The learning curve of robotic surgical skills is poorly understood. There is a lack of data on the transferability of skills from open and laparoscopic training to robotic surgery. In this retrospective cohort study, we investigated the i...