Medical Education

Food for thought: a qualitative assessment of medical trainee and faculty perceptions of nutrition education.

BACKGROUND: The American Society of Clinical Nutrition recommends 37 to 44 h of undergraduate medical nutrition education. The Total Health Curriculum at Geisinger Commonwealth School of Medicine (GCSOM) contains 14 h of objective-based nutritional instruction. This study aimed to examine the perceptions of key stakeholders regarding the role of nutrition in medicine and to identify barriers, oppo...

Motif-aware curriculum learning for node classification.

Node classification, seeking to predict the categories of unlabeled nodes, is a crucial task in graph learning. One of the most popular methods for node classification is currently Graph Neural Networks (GNNs). However, conventional GNNs assign equal importance to all training nodes, which can lead to a reduction in accuracy and robustness due to the influence of complex nodes information. In ligh...

Exploring prospects, hurdles, and road ahead for generative artificial intelligence in orthopedic education and training.

Generative Artificial Intelligence (AI), characterized by its ability to generate diverse forms of content including text, images, video and audio, ha...

Will AI reshape or deform pharmacy education?

The integration of artificial intelligence (AI) into pharmacy education offers transformative opportunities but also introduces significant challenges...

Preparing healthcare education for an AI-augmented future.

Artificial intelligence (AI) fundamentally transforms healthcare education as a knowledge enterprise, creating a distributed cognitive system composed...

Integrating Generative Artificial Intelligence Into Medical Education: Curriculum, Policy, and Governance Strategies.

The rapid advancement of generative artificial intelligence (GAI) is poised to revolutionize medical education, clinical decision-making, and health c...

Pixels to precision: Neuroradiology's leap into 3D printing for personalized medicine.

The realm of precision medicine, particularly its application within various sectors, shines notably in neuroradiology, where it leverages the advance...

Can Artificial Intelligence Deceive Residency Committees? A Randomized Multicenter Analysis of Letters of Recommendation.

INTRODUCTION: The introduction of generative artificial intelligence (AI) may have a profound effect on residency applications. In this study, we expl...

Plane coexistence behaviors for Hopfield neural network with two-memristor-interconnected neurons.

Memristors are commonly used as the connecting parts of neurons in brain-like neural networks. The memristors, unlike the existing literature, possess...

Self-improving generative foundation model for synthetic medical image generation and clinical applications.

In many clinical and research settings, the scarcity of high-quality medical imaging datasets has hampered the potential of artificial intelligence (A...

Generative Biomedical Event Extraction With Constrained Decoding Strategy.

Currently, biomedical event extraction has received considerable attention in various fields, including natural language processing, bioinformatics, a...

Frequency-adjusted borders ordinal forest: A novel tree ensemble method for ordinal prediction.

Ordinal responses commonly occur in psychology, e.g., through school grades or rating scales. Where traditionally parametric statistical models like t...

How to incorporate generative artificial intelligence in nephrology fellowship education.

Traditional nephrology education faces challenges due to expanding medical knowledge, case complexity, and personalized learning needs. Generative art...

Systematic review of ChatGPT accuracy and performance in Iran's medical licensing exams: A brief report.

ChatGPT has demonstrated significant potential in various aspects of medicine, including its performance on licensing examinations. In this study, we ...

Audio-visual aesthetic teaching methods in college students' vocal music teaching by deep learning.

In recent times, characterized by the rapid advancement of science and technology, the educational system has continuously evolved. Within this modern...

Using large language models (ChatGPT, Copilot, PaLM, Bard, and Gemini) in Gross Anatomy course: Comparative analysis.

The increasing application of generative artificial intelligence large language models (LLMs) in various fields, including medical education, raises q...

Incorporating dynamic drainage supervision into deep learning for accurate real-time flood simulation in urban areas.

Urban flooding has become a prevalent issue in cities worldwide. Urban flood dynamics differ significantly from those in natural watersheds, primarily...

Comparative assessment of three AI platforms in answering USMLE Step 1 anatomy questions or identifying anatomical structures on radiographs.

The application of artificial intelligence (AI) in education has gained great attention recently. Integration of AI tools in anatomy teaching is curre...

Keeping pace in the age of innovation: The perspective of Dutch pharmaceutical science students on the position of machine learning training in an undergraduate curriculum.

BACKGROUND: Over the years, approaches of the pharmaceutical industry to discover and develop drugs have changed rapidly due to new scientific trends....

Artificial intelligence-created personal statements compared with applicant-written personal statements: a survey of obstetric anesthesia fellowship program directors in the United States.

BACKGROUND: A personal statement is a common requirement in medical residency and fellowship applications. Generative artificial intelligence may be u...