Medical Education

Predicting burn probability: Dimensionality reduction strategies enable accurate and computationally efficient metamodeling.

Predicting the probability that a given location will be burnt by a wildfire is an important part of...

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

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

Enhancing long-term water quality modeling by addressing base demand, demand patterns, and temperature uncertainty using unsupervised machine learning techniques.

Water quality modelling in Water Distribution systems (WDS) is frequently affected by uncertainties ...

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, ...

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...

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...

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...

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...

Advanced Non-linear Modeling and Explainable Artificial Intelligence Techniques for Predicting 30-Day Complications in Bariatric Surgery: A Single-Center Study.

PURPOSE: Metabolic bariatric surgery (MBS) became integral to managing severe obesity. Understanding...

Application of AI-empowered scenario-based simulation teaching mode in cardiovascular disease education.

BACKGROUND: Cardiovascular diseases present a significant challenge in clinical practice due to thei...

Artificial Intelligence in the Training of Radiology Residents: a Multicenter Randomized Controlled Trial.

The aim of the present study was to compare the effectiveness of AI-assisted training and convention...

CORR® Curriculum-Orthopaedic Education: Artificial Intelligence and Surgical Assessment.

Transforming simulation in healthcare to enhance interprofessional collaboration leveraging big data analytics and artificial intelligence.

Simulation in healthcare, empowered by big data analytics and artificial intelligence (AI), has the ...