Public Health & Policy

Medical Education

Latest AI and machine learning research in medical education for healthcare professionals.

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Showing 169-189 of 4,135 articles
Knowledge-point classification using simple LSTM-based and siamese-based networks for virtual patient simulation.

BACKGROUND: In medical education, enhancing thinking skills is vital. The Virtual Diagnosis and Trea...

I2Bot: an open-source tool for multi-modal and embodied simulation of insect navigation.

Achieving a comprehensive understanding of animal intelligence demands an integrative approach that ...

Claude, ChatGPT, Copilot, and Gemini performance versus students in different topics of neuroscience.

Despite extensive studies on large language models and their capability to respond to questions from...

Synthesized colonoscopy dataset from high-fidelity virtual colon with abnormal simulation.

With the advent of the deep learning-based colonoscopy system, the need for a vast amount of high-qu...

Improving quantification accuracy of a nuclear Overhauser enhancement signal at -1.6 ppm at 4.7 T using a machine learning approach.

A new nuclear Overhauser enhancement (NOE)-mediated saturation transfer MRI signal at -1.6 ppm, pote...

Generative Artificial Intelligence Use in Healthcare: Opportunities for Clinical Excellence and Administrative Efficiency.

Generative Artificial Intelligence (Gen AI) has transformative potential in healthcare to enhance pa...

The integration and innovative practice of intelligent AI and local opera in college teaching.

This paper explores the impacts of integrating AI into the teaching of Chinese Opera using a mixed-m...

Generative artificial intelligence in graduate medical education.

Generative artificial intelligence (GenAI) is rapidly transforming various sectors, including health...

A Symbolic AI Approach to Medical Training.

In traditional medical education, learners are mostly trained to diagnose and treat patients through...

Enhanced Sampling Simulations of RNA-Peptide Binding Using Deep Learning Collective Variables.

Enhanced sampling (ES) simulations of biomolecular recognition, such as binding small molecules to p...

HepNet: Deep Neural Network for Classification of Early-Stage Hepatic Steatosis Using Microwave Signals.

Hepatic steatosis, a key factor in chronic liver diseases, is difficult to diagnose early. This stud...

A Trustworthy Curriculum Learning Guided Multi-Target Domain Adaptation Network for Autism Spectrum Disorder Classification.

Domain adaptation has demonstrated success in classification of multi-center autism spectrum disorde...

Accelerating computational fluid dynamics simulation of post-combustion carbon capture modeling with MeshGraphNets.

Packed columns are commonly used in post-combustion processes to capture CO emissions by providing e...

Machine learning models based on FEM simulation of hoop mode vibrations to enable ultrasonic cuffless measurement of blood pressure.

Blood pressure (BP) is one of the vital physiological parameters, and its measurement is done routin...

Machine Learning-Enhanced Predictive Modeling for Arbitrary Deterministic Lateral Displacement Design and Test.

The separation of biological particles like cells and macromolecules from liquid samples is vital in...

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 medica...

Motif-aware curriculum learning for node classification.

Node classification, seeking to predict the categories of unlabeled nodes, is a crucial task in grap...

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 c...

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