Medical Education

A New Dawn: Resident Recruitment in the United States in the Post-COVID Era.

The widespread adoption of virtual residency interviews in response to the COVID-19 pandemic led to ...

Using participatory action research to develop an artificial intelligence-augmented, peer-driven, case-based, and simulation-enhanced curriculum for emergency medicine residents.

This work describes the use of participatory action research to develop an artificial intelligence (...

Fine-Tuned Large Language Models for Generating Multiple-Choice Questions in Anesthesiology: Psychometric Comparison With Faculty-Written Items.

BACKGROUND: Multiple-choice examinations (MCQs) are widely used in medical education to ensure stand...

From AI acceptance to self-efficacy in multilingual learning: AIAC scale development and the mediating role of learning enjoyment.

Artificial intelligence (AI) is increasingly embedded in language education, and learners' acceptanc...

Artificial Intelligence in Medical Education: Transformative Potential, Current Applications, and Future Implications.

Artificial intelligence (AI) is increasingly influencing medical education by enabling adaptive lear...

Can ChatGPT Teach Tendon Repair Suturing? A Comparison With Video Instruction in a Simulation-Based Environment: A Pilot Study.

OBJECTIVE: To compare the effectiveness of ChatGPT-guided instruction versus video-based instruction...

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 ...

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

Developing high-quality problem-based learning (PBL) cases remains a significant challenge in medica...

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

BACKGROUND: Inequities in neuroimaging access represent a major barrier to timely diagnosis and trea...

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 ov...

Artificial Intelligence for Gastroenterology Practice: A Modified Delphi Consensus.

BACKGROUND: The American College of Gastroenterology (ACG) assembled a multidisciplinary task force ...

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 iden...

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 deterio...

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)...

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, utilizin...

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 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 sim...

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

INTRODUCTION: Artificial intelligence (AI) is increasingly transforming radiography practice, creati...

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 ...

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 demand...