Public Health & Policy

Medical Education

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

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Utilization and perception of generative artificial intelligence by medical students in residency applications.

After completing medical school in the United States, most students apply to residency programs to p...

Artificial Intelligence Meets Holistic Review: Promises and Pitfalls of Automating the Medical Education Admissions Process.

Holistic review has been widely adopted in medical education as a means of promoting equity in the a...

Enhancing diagnostic accuracy of thyroid nodules: integrating self-learning and artificial intelligence in clinical training.

PURPOSE: This study explores a self-learning method as an auxiliary approach in residency training f...

Towards realistic simulation of disease progression in the visual cortex with CNNs.

Convolutional neural networks (CNNs) and mammalian visual systems share architectural and informatio...

Unveiling GPT-4V's hidden challenges behind high accuracy on USMLE questions: Observational Study.

BACKGROUND: Recent advancements in artificial intelligence, such as GPT-3.5 Turbo (OpenAI) and GPT-4...

Which curriculum components do medical students find most helpful for evaluating AI outputs?

INTRODUCTION: The risk and opportunity of Large Language Models (LLMs) in medical education both res...

ChatGPT-4 Performance on German Continuing Medical Education-Friend or Foe (Trick or Treat)? Protocol for a Randomized Controlled Trial.

BACKGROUND: The increasing development and spread of artificial and assistive intelligence is openin...

Identifying natural inhibitors against FUS protein in dementia through machine learning, molecular docking, and dynamics simulation.

Dementia, a complex and debilitating spectrum of neurodegenerative diseases, presents a profound cha...

Cardiac Heterogeneity Prediction by Cardio-Neural Network Simulation.

The bidirectional interactions between brain and heart through autonomic nervous system is the prime...

Self-supervised 3D medical image segmentation by flow-guided mask propagation learning.

Despite significant progress in 3D medical image segmentation using deep learning, manual annotation...

Assessing the disconnect between student interest and education in artificial intelligence in medicine in Saudi Arabia.

BACKGROUND: Although artificial intelligence (AI) has gained increasing attention for its potential ...

A guide to prompt design: foundations and applications for healthcare simulationists.

Large Language Models (LLMs) like ChatGPT, Gemini, and Claude gain traction in healthcare simulation...

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