Medical Education

Health economic simulation modeling of an AI-enabled clinical decision support system for coronary revascularization.

While artificial intelligence (AI) models have been developed to support coronary revascularization decision-making, health economic evaluation of such models has been rare. We conducted a retrospective health economic simulation modeling study using real-world data from 25,942 adult patients with obstructive coronary artery disease in Alberta, Canada to evaluate the economic value of an AI-enable...

Streamlining Accreditation Activities With Responsible Use of Artificial Intelligence.

Dental Students' Knowledge, Attitudes and Perceptions of Artificial Intelligence Tools to Aid in the Diagnosis of Oral Cancer and Oral Potentially Malignant Disorders.

BACKGROUND: Artificial intelligence (AI) has emerged as a promising tool in dentistry, particularly in the early detection of oral cancer (OC) and ora...

AI-assisted case builder: Making PBL more scalable and adaptable.

Developing high-quality problem-based learning (PBL) cases remains a significant challenge in medical education. It is resource-intensive and competes...

Neuroimaging in Low- to Middle-Income Countries: A Health Equity Perspective.

BACKGROUND: Inequities in neuroimaging access represent a major barrier to timely diagnosis and treatment of neurologic disease, particularly in low- ...

Integrating AI training into the oral health and community dentistry curriculum: A growing necessity.

BENMO|Simulation: A computationally efficient and biologically enhanced model for nutrient dynamics in coastal bays.

Simulating nutrient dynamics in coastal bays is challenged by the high computational cost and the oversimplification of multi-trophic organisms proces...

Energy diagram: Investigation and application of a design-thinking-driven wind environment simulation tool for sustainable architecture.

Amid climate change and resource constraints, sustainable building design increasingly requires wind-environment optimization to improve energy effici...

Artificial Intelligence for Gastroenterology Practice: A Modified Delphi Consensus.

BACKGROUND: The American College of Gastroenterology (ACG) assembled a multidisciplinary task force to evaluate the current state and future direction...

Fluid density regulation under nanoconfinement revealed by machine learning.

Fluids under nanoscale confinement differ - and often dramatically - from their bulk counterparts. A notorious feature of nanoconfined fluids is their...

Dental students' knowledge, perceptions, and educational needs regarding artificial intelligence: a multinational cross-sectional survey.

AIMS: To explore undergraduate dental students' AI knowledge, perceptions, and concerns, and to identify their educational needs based on these findin...

Foundations, evidence, and applications of translational simulation in obstetric anaesthesia: a narrative review.

Obstetric anaesthetists work in high-acuity settings where maternal and fetal conditions can deteriorate rapidly, requiring coordinated action across ...

Agentic memory-augmented retrieval and evidence grounding for medical question-answering tasks.

OBJECTIVE: To evaluate whether a tool-using agent-based system built on large language models (LLMs) outperforms standalone LLMs on medical question-a...

Machine learning based variance estimation under two phase sampling using health and education sector data.

This study proposes a novel variance estimator [Formula: see text]under two-phase sampling, utilizing one auxiliary variable and one binary attribute ...

Artificial intelligence in medical ethics education: a descriptive study of eight models in multiple choice question generation.

INTRODUCTION: Integrating artificial intelligence (AI) into medical education poses barriers and opportunities for medical educators. One of those opp...

The effect of an artificial intelligence- supported screen-based simulation on breast self-examination in nursing students: A sequential mixed-methods study.

AIM: The aim of this study is to evaluate the effectiveness of artificial intelligence-supported simulation in improving nursing students' breast self...

Teaching artificial intelligence to future radiographers: Curriculum enhancement in a New Zealand radiography course.

INTRODUCTION: Artificial intelligence (AI) is increasingly transforming radiography practice, creating a need for radiography students to develop foun...

AutoSimTTF: a fully automatic pipeline for personalized electric field simulation and treatment planning of tumor treating fields.

OBJECTIVE: Tumor Treating Fields (TTFields) is an emerging cancer therapy whose efficacy is closely linked to the electric field (EF) intensity delive...

Creation of the Sonntag Virtual Reality Laboratory: A Framework for Innovation in Neurosurgical Training and Global Education.

BACKGROUND AND OBJECTIVES: Neurosurgical education requires innovative approaches to meet the demands of an evolving field and adequately train the ne...

Clinical Practice Guideline Implementation: Challenges and Solutions for Improved Cardiovascular Care.

The European Society of Cardiology (ESC) develops and updates clinical practice guidelines (CPGs) based on the latest evidence. However, their impleme...