Public Health & Policy

Medical Education

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

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Pedagogy and generative artificial intelligence: Applying the PICRAT model to Google NotebookLM.

Healthcare educators (HPE) are challenged by rapid developments in Generative Artificial Intelligenc...

Comparison of ANN and XGBoost surrogate models trained on small numbers of building energy simulations.

Surrogate optimisation holds a big promise for building energy optimisation studies due to its goal ...

Artificial intelligence in medical imaging education: Recommendations for undergraduate curriculum development.

OBJECTIVES: Artificial intelligence (AI) is rapidly being integrated into medical imaging practice, ...

Simulation-free prediction of atrial fibrillation inducibility with the fibrotic kernel signature.

Computational models of atrial fibrillation (AF) can help improve success rates of interventions, su...

Calibration of discrete meta-parameters of bamboo flour based on magnitude analysis and BP neural network.

In the research and development of technology and equipment for bamboo products deep processing, suc...

For the busy clinical-imaging professional in an AI world: Gaining intuition about deep learning without math.

Medical diagnostics comprise recognizing patterns in images, tissue slides, and symptoms. Deep learn...

Towards novel small-molecule inhibitors blocking PD-1/PD-L1 pathway: From explainable machine learning models to molecular dynamics simulation.

Molecular design of small-molecule inhibitors targeting programmed cell death-1 (PD-1)/programmed ce...

Artificial Intelligence-Driven Skin Aging Simulation as a Novel Skin Cancer Prevention.

INTRODUCTION: Skin cancer, a prevalent cancer type among fair-skinned patients globally, poses a rel...

GSSCL: A framework for Graph Self-Supervised Curriculum Learning based on clustering label smoothing.

Graph self-supervised learning is an effective technique for learning common knowledge from unlabele...

Introducing high correlation and high quality instances for few-shot entity linking.

Entity linking, the process of connecting textual mentions in documents to canonical entities within...

Deciphering Cathepsin K inhibitors: a combined QSAR, docking and MD simulation based machine learning approaches for drug design.

Cathepsin K (CatK), a lysosomal cysteine protease, contributes to skeletal abnormalities, heart dise...

From Simulation to Reality: Predicting Torque With Fatigue Onset via Transfer Learning.

Muscle fatigue impacts upper extremity function but is often overlooked in biomechanical models. The...

A Survey of Perspectives and Educational Needs of Canadian Oncology Residents on Artificial Intelligence.

This study evaluated the perspectives and educational needs of Canadian oncology residents with rega...

Explanatory argument extraction of correct answers in resident medical exams.

Developing technology to assist medical experts in their everyday decision-making is currently a hot...

Label refinement network from synthetic error augmentation for medical image segmentation.

Deep convolutional neural networks for image segmentation do not learn the label structure explicitl...

Performance of a Novel Muscle Synergy Approach for Continuous Motion Estimation on Untrained Motion.

When applying continuous motion estimation (CME) model based on sEMG to human-robot system, it is in...

Does using artificial intelligence take the person out of personal statements? We can't tell.

BACKGROUND: Use of artificial intelligence to generate personal statements for residency is currentl...

Large Language Model Use in Radiology Residency Applications: Unwelcomed but Inevitable.

OBJECTIVE: This study explores radiology program directors' perspectives on the impact of large lang...

AI-based green technology implementation simulation for achieving carbon neutrality: exploring the role of subsidies and knowledge management.

This study investigates the role of green technology implementation (GTI) based on artificial intell...

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