Public Health & Policy

Medical Education

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

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Will AI reshape or deform pharmacy education?

The integration of artificial intelligence (AI) into pharmacy education offers transformative opport...

Preparing healthcare education for an AI-augmented future.

Artificial intelligence (AI) fundamentally transforms healthcare education as a knowledge enterprise...

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...

Cholinesterase Inhibitory Activity of Paeoniflorin: Molecular Dynamics Simulation, and In Vitro Mechanistic Investigation.

Alzheimer's disease (AD), a neurological disorder, is one of the major reasons for memory loss in th...

Leveraging transfer learning-driven convolutional neural network-based semantic segmentation model for medical image analysis using MRI images.

Recognition and segmentation of brain tumours (BT) using MR images are valuable and tedious processe...

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...

Multibody system dynamics for bio-robotic design and simulation based on inching-locomotion caterpillar's gait: MBD-ILAR method.

Inching-locomotion caterpillars (ILAR) inspire the design of 'inch-worm' robots with biomimicry feat...

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...

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 m...

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 ha...

Generative Biomedical Event Extraction With Constrained Decoding Strategy.

Currently, biomedical event extraction has received considerable attention in various fields, includ...

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 ...

Analyzing the parallelization and structural impact of machine learning algorithms in social networks: a simulation-based approach.

Analyzing social media networks is crucial for understanding and uncovering common interests and cha...

Transforming drug discovery: the impact of AI and molecular simulation on R&D efficiency.

The process of developing new drugs in the pharmaceutical industry is both time-consuming and costly...

Emulating Wildfire Plume Injection Using Machine Learning Trained by Large Eddy Simulation (LES).

Wildfires have a major influence on the Earth system, with costly impacts on society. Despite decade...

How to incorporate generative artificial intelligence in nephrology fellowship education.

Traditional nephrology education faces challenges due to expanding medical knowledge, case complexit...

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