Medical Education

Education as a Tool to Navigate Changing Technology in Radiation Oncology.

While technological innovation in radiation therapy (RT) continues to accelerate, safe and equitable adoption of emerging tools is reliant on the readiness of the workforce and the robustness of associated educational frameworks. Early experience with disruptive technologies such as intensity-modulated RT (IMRT) has taught us that fragmented or insufficient education can create an implementation b...

Generative AI in simulation debriefings: an exploratory study using the Team-FIRST framework and qualitative feedback from simulation experts and learners.

BACKGROUND: Effective debriefings in simulation-based education require accurate observation of team interactions, yet facilitators face challenges due to cognitive load, observer bias, and the complexity of team dynamics. Generative artificial intelligence (AI) tools offer a potential means to support this process by analyzing verbal communication and providing structured feedback. This study exp...

Improving Clinical Decision-Making in Treating Airway Diseases With an Expert System Built Upon the Free AI Tool Google NotebookLM.

We used the free artificial intelligence (AI) tool Google NotebookLM, powered by the large language model Gemini 2.0, to construct a medical decision-...

Practical strategies to maximise medical simulation learning with minimal resources.

Simulation-based education is a powerful tool for clinical skills development, but its implementation is often hindered by resource constraints, time ...

Education Research: Bridging the Artificial Intelligence Training Gap: Evidence from a National Survey of Italian Neurology Residents.

BACKGROUND AND OBJECTIVES: As artificial intelligence (AI) rapidly becomes an integral tool in clinical neurology, future clinicians will need to mast...

An Artificial Intelligence-Driven Platform for Practice Question Generation.

PROBLEM: High-stakes licensing exams such as the USMLE play a critical role in medical education, influencing both trainee progression and patient out...

Effectiveness of AI- and VR-based simulation with traditional teaching in healthcare education: A network meta-analysis.

AIMS: (i) To summarize the application scenarios and teaching models of AI and VR in healthcare education. (ii) To compare teaching outcomes between A...

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 residency programs using the Electronic Residency A...

Research advances and outlook of bioactive peptides: integrating artificial intelligence, molecular simulation, and instrumental analysis techniques.

Due to their diverse physiological functions, bioactive peptides have attracted widespread attention in the fields of functional food development and ...

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 stochastic systems. For this purpose, various machine pred...

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-mediated endocytosis (CME) through trimeric assembl...

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 unobtrusively extract body motion metrics from videos of ...

EPANET-Agentic: A multi-agent system for natural language-controlled simulations of water distribution networks.

Water distribution networks (WDNs), a critical part of urban infrastructure, normally require numerous model simulations for effective planning and ma...

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 nonlinear biochemical dynamics, resulting in unstable...

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 recovery. Polymer flooding is a key technique, but its...

Blended peer-led research curriculum with AI integration improves postgraduate students' academic performance and satisfaction: a quasi-experimental mixed-methods study.

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 biomedical knowledge and clinical performance in ...

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 institutions in the Midwestern United States prior...

AI-driven prediction of completion time and errors in the Advanced Training in Laparoscopic Suturing (ATLAS) needle handling task: One step closer to automated surgical skill assessment.

BACKGROUND: The Advanced Training in Laparoscopic Suturing is a proficiency-based curriculum of 6 structured tasks. In the needle handling task, parti...

Confidence-Based Batch Ordering in Continual Learning: A Curriculum Learning Approach for Single-Cell RNA Sequencing Data.

Training machine learning models on large datasets, such as those derived from single-cell RNA sequencing (scRNA-seq), poses significant challenges du...