Medical 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 can learn from and mimic large amounts of data to create content such as text, images, music, videos, code, and more, based on inputs or prompts. Gen AI technologies are being increasingly integrated into healthcare education, including the field of nursing, where they are utilised to support a range ...

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

BACKGROUND: Dental education is at the pinnacle of innovation and evolution. Advancements in artificial intelligence (AI) have reinforced personalized dental education to learners' preferences and needs to emerge as a game changer. Conventional dental education has rigid and standardized methods of learning that are inconvenient to diverse learning preferences. With the aid of AI, the learning pro...

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 medical education, but require significant pedagogi...

Mechanism of astaxanthin improving exercise-induced muscle damage: an integrated approach using network pharmacology, molecular dynamics simulation, and experimental validation.

UNLABELLED: This research evaluated the potential mechanisms of ASX on EIMD. The network pharmacology, machine learning, and transcription sequencing ...

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-standing Geant4-based Monte Carlo application for partic...

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

Artificial intelligence (AI) is becoming increasingly prevalent in medical practice and has demonstrated sufficient clinical acumen to pass several li...

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 noise. We present DAGCL (Dynamic Attention-enhanc...

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 ensuring high-quality support for patients and their ...

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 workflow for digital smile design (DSD), which enabl...

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 have been applied to radio-frequency (RF) ultrasou...

Targeting key proteins of pleural mesothelioma using plumbagin-indole-3-propionic acid ester: Insights from network pharmacology, molecular dynamics simulation and machine learning-based analysis.

This study explores the network pharmacology (NP) and molecular dynamics (MD) simulation analysis of pleural mesothelioma (PM) related enzymes. Throug...

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 provides the most effective feedback, and investigate wh...

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 knowledge, assessment skills, clinical judgment, and ...

Machine Learning for Intensive Care Unit Length-of-Stay Prediction: A Simulation-Based Approach to Bed Capacity Management.

BackgroundWhile machine learning (ML) models are increasingly used to predict outcomes in health care, their practical effect on health care operation...

A Novel Framework to Integrate Data on Sex as a Biological Variable into Medical Education.

BACKGROUND: Empirical evidence demonstrating the influence of sex and gender on health has increased dramatically over the last two decades. Yet, the ...

Wicked Modes in UX: Pedagogical Considerations for Data Détournement.

User experience (UX) as both a vocation and a skillset is currently in the center of a wicked knot: emerging technologies such as generative artificia...

Effects of Artificial Intelligence-Supported Case Analysis Method on Nursing Students' Clinical Competencies: Mixed Design Research.

BACKGROUND: Advances in artificial intelligence (AI) tools are also necessitating a change in nursing education. AIM: This study evaluated the effect ...

Dataset of numerical assessment on the combined effects of non-thermal plasma and water addition in hydrogen combustion.

This dataset contains raw and analyzed numerical simulation data, tables, and figures focused on the synergistic effects of nanosecond repetitively pu...

Learning with AI, not from AI: Ethical and pedagogical implications of ChatGPT in undergraduate education.

AIM: To explore how first-year nursing students engaged with ChatGPT during an assessment task, and to understand the experiences, challenges, and per...