Medical Education

Early Evaluation of the AI-Enabled Residency Application Screening Tool Thalamus Cortex: Opportunities, Inaccuracies, and Implications for Resident Selection.

Artificial intelligence (AI) tools to facilitate residency application review are available to all r...

Numerical modeling and prediction of late estimated glomerular filtration rate in kidney transplant recipients based on machine learning models and the Monte Carlo simulation method.

OBJECTIVES: This paper presents an experimental numerical method for modeling and analyzing stochast...

ClathPLM: Deep multi-view feature extraction with CNN and attention enhances clathrin protein identification.

Clathrin is a key structural protein in intracellular vesicle transport, mainly mediating clathrin-m...

Using artificial intelligence for automated assessment of point-of-care ultrasound (POCUS) skills in emergency medicine.

BACKGROUND: This study aimed to demonstrate the feasibility of using computer vision (CV) to unobtru...

Advanced composting simulation technologies: A systematic review of methodological frameworks and applications.

The conventional composting systems face technical limitations due to the complex substrates and non...

A hybrid AI-genetic algorithm framework for the optimization of polymer flooding strategies: a numerical simulation-based approach.

Facing declining conventional resources, the oil industry requires advanced methods to maximize reco...

Effectiveness of Different Educational Approaches in Improving Comprehensive Clinical Competence Among Medical Students: A Systematic Review and Meta-Analysis.

Active, student-centred teaching strategies are increasingly being adopted to bridge the gap between...

Data science academic programs in the pre-ChatGPT erain the Midwestern United States: a curated dataset.

This dataset documents and classifies academic programs in data science offered by higher education ...

Applications, attitudes and ethical considerations of Generative Artificial Intelligence (Gen AI) in nursing education: a scoping review.

BACKGROUND: Generative Artificial Intelligence (Gen AI) is a type of artificial intelligence that ca...

Personalized Learning With Artificial Intelligence in Dental Education: An Integrative Review.

BACKGROUND: Dental education is at the pinnacle of innovation and evolution. Advancements in artific...

Contemporary strategies for active learning in oral and maxillofacial surgery education.

The training of clinicians in various specialty disciplines continues to be the focus of twenty-firs...

AI-Driven Objective Structured Clinical Examination Generation in Digital Health Education: Comparative Analysis of Three GPT-4o Configurations.

BACKGROUND: Objective Structured Clinical Examinations (OSCEs) are used as an evaluation method in m...

GATE 10 Monte Carlo particle transport simulation: II. Architecture and innovations.

Over the past years, we have developed GATE version 10, a major re-implementation of the long-standi...

Comparative performance of large language models on cardiovascular certification simulation exam.

Artificial intelligence (AI) is becoming increasingly prevalent in medical practice and has demonstr...

Curriculum-guided divergence scheduling improves single-cell clustering robustness.

Deep clustering of single-cell RNA-seq data faces significant challenges due to extreme sparsity and...

Authentic or Algorithm? Assessing the Use of Generative Artificial Intelligence in Urology Residency Personal Statements.

The use of digital gamification, extended reality, artificial intelligence, and integrated digital learning tools in palliative care education of undergraduate nurses: A systematic review.

BACKGROUND: Nurses are at the forefront of providing palliative care, playing a critical role in ens...

Motion-DSD: AI-assisted dynamic frontal facial simulation of digital diagnostic waxing from 2-dimensional intraoral digital smile design.

PURPOSE: This study proposes the development of "Motion-DSD", an artificial intelligence-assisted wo...

CDP-KDNet: Curriculum-Guided Dynamic Pruning and Knowledge Distillation for Resource-Efficient Ultrasound Elastography.

In recent years, convolutional neural network (CNN)-based optical flow models for motion estimation ...

Using large language model to aid in teaching medical imaging report writing.

PURPOSE: This study aims to compare several free large language models (LLMs), identify which provid...

Enhancing Competencies of Nursing Students in Pain Management Education Through Artificial Intelligence (AI): A Narrative Review.

BACKGROUND: Effective pain management is a vital aspect of quality nursing care, requiring sound kno...