Public Health & Policy

Medical Education

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

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Large-Scale Non-Adiabatic Dynamics Simulation Based on Machine Learning Hamiltonian and Force Field: The Case of Charge Transport in Monolayer MoS.

We present an efficient and reliable large-scale non-adiabatic dynamics simulation method based on m...

LLM-based robot personality simulation and cognitive system.

The inherence of personality in human-robot interaction enhances conversational dynamics and user ex...

RadField3D: a data generator and data format for deep learning in radiation-protection dosimetry for medical applications.

In this research work, we present our open-source Geant4-based Monte-Carlo simulation application, c...

Intelligent Prediction and Numerical Simulation of Landslide Prediction in Open-Pit Mines Based on Multi-Source Data Fusion and Machine Learning.

With the increasing mining depth, the stability of open-pit mine slopes has become an increasingly i...

Bridging AI and Medical Expertise: ChatGPT's Success on the Medical Specialization Residency Admission Exam in Spain.

The growing use of Artificial Intelligence (AI) in healthcare, particularly focusing on the potentia...

AI-Assisted Hypothesis Generation to Address Challenges in Cardiotoxicity Research: Simulation Study Using ChatGPT With GPT-4o.

BACKGROUND: Cardiotoxicity is a major concern in heart disease research because it can lead to sever...

Artificial Intelligence in Personal Statements Within Orthopaedic Surgery Residency Applications.

PURPOSE: Artificial intelligence (AI) has been increasingly studied within medical education and cli...

CrypTothML: An Integrated Mixed-Solvent Molecular Dynamics Simulation and Machine Learning Approach for Cryptic Site Prediction.

Cryptic sites, which are transient binding sites that emerge through protein conformational changes ...

Exploring the Opportunities and Challenges of Healthcare Innovation in UK Higher Education: A Narrative Review.

: The healthcare sector is under increasing pressure due to an ageing population, rising multimorbid...

Ab initio simulation of spin-vibronic spectra of methoxy radical.

Despite the fact that experimental and theoretical work on the spectrum of methoxy has stretched fro...

Ethics: Crisis Standards of Care Simulation.

Ethical dilemmas exist with decision-making regarding resource allocations, such as critical care, v...

Structured experience shapes strategy learning and neural dynamics in the medial entorhinal cortex.

Animals can solve new, complex tasks by reusing and adapting what they've learned before. This kind ...

Realistic Subject-Specific Simulation of Resting State Scalp EEG Based on Physiological Model.

Electroencephalography (EEG) recordings are widely used in neuroscience to identify healthy individu...

Exploring the Use of a Large Language Model in Simulation Debriefing: An Observational Simulation-Based Pilot Study.

INTRODUCTION: Facilitating debriefings in simulation is a complex task with high task load. The incr...

Discovering Ultra-Stable Metal-Organic Frameworks for CO Capture from A Wet Flue Gas: Integrating Machine Learning and Molecular Simulation.

The rapid increase in atmospheric CO, arising from anthropogenic sources, has posed a severe threat ...

Exploring dental faculty awareness, knowledge, and attitudes toward AI integration in education and practice: a mixed-method study.

BACKGROUND: Dentistry is shifting from traditional to digital practices owing to the rapid developme...

Comparative analysis of LLMs performance in medical embryology: A cross-platform study of ChatGPT, Claude, Gemini, and Copilot.

Integrating artificial intelligence, particularly large language models (LLMs), into medical educati...

Understanding the gap: a balanced multi-perspective approach to defining essential digital health competencies for medical graduates.

BACKGROUND: Rapid technological advancements have left medical graduates potentially underprepared f...

Overcoming methodological barriers in electronic nose clinical studies, a simulation data-based approach.

Analysis of volatile organic compounds by electronic nose (e-nose) may address gaps in non-invasive ...

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