Medical Education

GSSCL: A framework for Graph Self-Supervised Curriculum Learning based on clustering label smoothing.

Graph self-supervised learning is an effective technique for learning common knowledge from unlabele...

A Survey of Perspectives and Educational Needs of Canadian Oncology Residents on Artificial Intelligence.

This study evaluated the perspectives and educational needs of Canadian oncology residents with rega...

Explanatory argument extraction of correct answers in resident medical exams.

Developing technology to assist medical experts in their everyday decision-making is currently a hot...

Performance of a Novel Muscle Synergy Approach for Continuous Motion Estimation on Untrained Motion.

When applying continuous motion estimation (CME) model based on sEMG to human-robot system, it is in...

Does using artificial intelligence take the person out of personal statements? We can't tell.

BACKGROUND: Use of artificial intelligence to generate personal statements for residency is currentl...

Large Language Model Use in Radiology Residency Applications: Unwelcomed but Inevitable.

OBJECTIVE: This study explores radiology program directors' perspectives on the impact of large lang...

AI-based green technology implementation simulation for achieving carbon neutrality: exploring the role of subsidies and knowledge management.

This study investigates the role of green technology implementation (GTI) based on artificial intell...

Advanced Non-linear Modeling and Explainable Artificial Intelligence Techniques for Predicting 30-Day Complications in Bariatric Surgery: A Single-Center Study.

PURPOSE: Metabolic bariatric surgery (MBS) became integral to managing severe obesity. Understanding...

Application of AI-empowered scenario-based simulation teaching mode in cardiovascular disease education.

BACKGROUND: Cardiovascular diseases present a significant challenge in clinical practice due to thei...

Artificial Intelligence in the Training of Radiology Residents: a Multicenter Randomized Controlled Trial.

The aim of the present study was to compare the effectiveness of AI-assisted training and convention...

CORR® Curriculum-Orthopaedic Education: Artificial Intelligence and Surgical Assessment.

Transforming simulation in healthcare to enhance interprofessional collaboration leveraging big data analytics and artificial intelligence.

Simulation in healthcare, empowered by big data analytics and artificial intelligence (AI), has the ...

Clinical audit of an artificial intelligence (AI) empowered smile simulation system: a prospective clinical trial.

Smile aesthetics is an important factor to consider during orthodontic treatment planning. The aim o...

Utilizing natural language processing to analyze student narrative reflections for medical curriculum improvement.

MOTIVATION: Medical curricula improvement is an ongoing process to keep material relevant and improv...

Reforming China's Secondary Vocational Medical Education: Adapting to the Challenges and Opportunities of the AI Era.

China's secondary vocational medical education is essential for training primary health care personn...

Generative Artificial Intelligence and Large Language Models in Primary Care Medical Education.

Generative artificial intelligence and large language models are the continuation of a technological...

Digital Ink and Surgical Dreams: Perceptions of Artificial Intelligence-Generated Essays in Residency Applications.

INTRODUCTION: Large language models like Chat Generative Pre-Trained Transformer (ChatGPT) are incre...

Curriculum Frameworks and Educational Programs in AI for Medical Students, Residents, and Practicing Physicians: Scoping Review.

BACKGROUND: The successful integration of artificial intelligence (AI) into clinical practice is con...

GREnet: Gradually REcurrent Network With Curriculum Learning for 2-D Medical Image Segmentation.

Medical image segmentation is a vital stage in medical image analysis. Numerous deep-learning method...

Artificial intelligence: Reducing inconsistency in the surgical residency application review process.

The incorporation of artificial intelligence (AI) into the general surgery residency recruitment pro...

RevGraphVAMP: A protein molecular simulation analysis model combining graph convolutional neural networks and physical constraints.

Molecular dynamics simulation is a crucial research domain within the life sciences, focusing on com...