Medical Education

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 findings. METHODS: A cross-sectional, anonymous survey was conducted using a 30-item online questionnaire distributed to dental schools across multiple countries. The survey employed an exploratory, observational approach with convenience and snowball samp...

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 teams and systems. Simulation-based education improves technical and non technical skills and protocol adherence but often focuses on individual or team performance rather than the wider clinical systems influencing safety. Translational simulation e...

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...

Linking Electronic Health Records for Multiple Sclerosis Research: Comparative Study of Deterministic, Probabilistic, and Machine Learning Linkage Methods.

BACKGROUND: Data linkage in pharmacoepidemiological research is commonly employed to ascertain exposures and outcomes or to obtain additional informat...

Integrating AI-facilitated interviews to enhance CV writing.

BACKGROUND: Faculty face challenges integrating professional development, such as curriculum vitae (CV) preparation, into curricula. For instance, ade...

Pilot clinical evaluation of artificial intelligence-driven guiding catheter simulation for optimizing percutaneous coronary intervention.

AIMS: In percutaneous coronary intervention (PCI), a suboptimal choice of guiding catheter may compromise coaxial alignment and backup support, prolon...

Development and Validation of a Machine Learning Tool for Plastic Surgery Residency Application Screening.

BACKGROUND: Applications to integrated plastic surgery residency programs have outpaced the growth of available positions. As a result, faculty must r...

Towards accurate and interpretable competency-based assessment: enhancing clinical competency assessment through multimodal AI and anomaly detection.

Artificial Intelligence (AI) is reshaping medical education, particularly in the domain of competency-based assessment, where current methods remain s...

Towards scalable psychological first aid training: an autoethnographic exploration of the potential of large language models in simulation-based learning.

Background: Psychological First Aid (PFA) is a widely used approach to provide psychosocial support to individuals in the aftermath of a stressful eve...

Integrating AI Scribes into Medical Education: Guardrails for Preserving Clinical Reasoning.

Clinical documentation is a cornerstone of physician training, not only as a record of care but as a catalyst for clinical reasoning. For medical trai...

Transforming clinical toxicology in Singapore: four decades of progress and beyond.

By examining key milestones, challenges and future directions, this review chronicles the evolution of clinical toxicology in Singapore into a recogni...

State-of-the-art 32 cm field-of-view digital PET/CT system: preliminary study for protocols optimization and DRLs update.

The aim of this study was to assess the impact of a state-of-the-art 32 cm axial field-of-view GE Omni Legend PET/CT system on administered activity a...

Use of a Machine Learning Program for Urogynecology Fellowship Applicant Review.

IMPORTANCE: There is a gap in objective methods to review applications for advanced medical training. OBJECTIVE: The objective of this study was to ev...