Public Health & Policy

Medical Education

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

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Showing 274-294 of 4,135 articles
Isotopological remeshing and statistical shape analysis: Enhancing premolar tooth wear classification and simulation with machine learning.

OBJECTIVE: The aim of this study was to evaluate the accuracy of a combined approach based on an iso...

Dual-stage feedback network for lightweight color image compression artifact reduction.

Lossy image coding techniques usually result in various undesirable compression artifacts. Recently,...

Digital Ink and Surgical Dreams: Perceptions of Artificial Intelligence-Generated Essays in Residency Applications.

INTRODUCTION: Large language models like Chat Generative Pre-Trained Transformer (ChatGPT) are incre...

Reconciling shared versus context-specific information in a neural network model of latent causes.

It has been proposed that, when processing a stream of events, humans divide their experiences in te...

Deep coherence learning: An unsupervised deep beamformer for high quality single plane wave imaging in medical ultrasound.

Plane wave imaging (PWI) in medical ultrasound is becoming an important reconstruction method with h...

Curriculum Frameworks and Educational Programs in AI for Medical Students, Residents, and Practicing Physicians: Scoping Review.

BACKGROUND: The successful integration of artificial intelligence (AI) into clinical practice is con...

MDFit: automated molecular simulations workflow enables high throughput assessment of ligands-protein dynamics.

Molecular dynamics (MD) simulation is a powerful tool for characterizing ligand-protein conformation...

Utilizing Deep Feature Fusion for Automatic Leukemia Classification: An Internet of Medical Things-Enabled Deep Learning Framework.

Acute lymphoblastic leukemia, commonly referred to as ALL, is a type of cancer that can affect both ...

GREnet: Gradually REcurrent Network With Curriculum Learning for 2-D Medical Image Segmentation.

Medical image segmentation is a vital stage in medical image analysis. Numerous deep-learning method...

Artificial intelligence: Reducing inconsistency in the surgical residency application review process.

The incorporation of artificial intelligence (AI) into the general surgery residency recruitment pro...

RevGraphVAMP: A protein molecular simulation analysis model combining graph convolutional neural networks and physical constraints.

Molecular dynamics simulation is a crucial research domain within the life sciences, focusing on com...

Cracking AlphaFold2: Leveraging the power of artificial intelligence in undergraduate biochemistry curriculums.

AlphaFold2 is an Artificial Intelligence-based program developed to predict the 3D structure of prot...

Fostering Clinical Judgment and Promoting Transition Into First Clinical Rotation Through Active Learning.

Undergraduate nursing education builds on knowledge obtained from previous semesters to grow critica...

A Neurosurgical Readmissions Reduction Program in an Academic Hospital Leveraging Machine Learning, Workflow Analysis, and Simulation.

BACKGROUND:  Predicting 30-day hospital readmissions is crucial for improving patient outcomes, opti...

An explanatory study of factors influencing engagement in AI education at the K-12 Level: an extension of the classic TAM model.

Artificial intelligence (AI) holds immense promise for K-12 education, yet understanding the factors...

Missing data in amortized simulation-based neural posterior estimation.

Amortized simulation-based neural posterior estimation provides a novel machine learning based appro...

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