Public Health & Policy

Medical Education

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

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Collaborative intelligence in AI: Evaluating the performance of a council of AIs on the USMLE

The variability in responses generated by Large Language Models (LLMs) like OpenAI’s GPT-4 poses cha...

How does DeepSeek-R1 perform on USMLE?

DeepSeek, a Chinese artificial intelligence company, released its first free chatbot app based on it...

Applications of Artificial Intelligence in Neurosurgical Education: A Scoping Review

Artificial intelligence (AI) has transformed medical education through optimized instruction, compet...

Evaluating AI Reasoning Models in Pediatric Medicine: A Comparative Analysis of o3-mini and o3-mini-high

Artificial intelligence (AI) is increasingly playing a crucial role in modern medicine, particularly...

Automatic Physical Examination Segmentation within Objective Structured Clinical Examination Videos

Assessing medical student performance in Objective Structured Clinical Examinations (OSCEs) is labor...

Investigations on using Evidence-Based GraphRag Pipeline using LLM Tailored for USMLE Style Questions

The integration of evidence-based reasoning with retrieval-augmented generation (GraphRAG) holds gre...

Reasoning Over Pre-training: Evaluating LLM Performance and Augmentation in Women’s Health

Recent advances in large language models (LLMs) show promise in clinical applications, but their per...

Priorities for AI Education: Clinicians’ Perspectives

Educating clinicians about Artificial Intelligence (AI) is an urgent need(1) as the UK General Medic...

Temperature-Driven Variability in Emergency Diagnostic Accuracy by a Leading Language Model

To determine the impact of the temperature parameter on GPT-4o’s diagnostic accuracy when evaluating...

AI-literacy training enhances physician-LLM diagnostic collaboration in a resource-limited setting: a randomized controlled trial

Diagnostic errors remain a pervasive yet preventable source of patient harm, with resourcelimited he...

Transforming Healthcare AI Education Through Micro-Learning: A Novel Partnership Model for Nursing Workforce Development

Healthcare professionals face an urgent need for AI literacy as artificial intelligence technologies...

Agentic memory-augmented retrieval and evidence grounding for medical question-answering tasks

To evaluate if a tool-using agent-based system utilizing large language models (LLMs) for medical qu...

The Effect of Image Resolution on the Performance of Deep Learning Algorithms in Detecting Calcaneus Fractures on X-Ray

To evaluate convolutional neural network (CNN) model training strategies that optimize the performan...

AI-based synthetic simulation CT generation from diagnostic CT for simulation-free workflow of spinal palliative radiotherapy

Current radiotherapy (RT) planning workflows rely on pre-treatment simulation CT (sCT), which can si...

AI-Simulated Clinical Consultations: Assessing the Potential of ChatGPT to Support Medical Training

Simulated medical scenarios are useful for evaluating and developing clinical competencies but sched...

Leveraging simulation to provide a practical framework for assessing the novel scope of risk of LLMs in healthcare

Large language models (LLMs) are rapidly entering clinical care, yet their definitionally probabilis...

Employing Consensus-Based Reasoning with Locally Deployed LLMs for Enabling Structured Data Extraction from Surgical Pathology Reports

Surgical pathology reports provide essential diagnostic information critical for cancer staging, tre...

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