Medical Education

Comparison between automated and manual digital diagnostic setups of orthodontic extraction cases: an in silico study.

BACKGROUND: The aim of the study was to evaluate automated digital diagnostic setup in bimaxillary dentoalveolar protrusion cases using two software packages and to compare them to manual digital setup. METHODOLOGY: Pre-treatment intraoral scans of 14 patients whose treatment plans involved extraction of four first premolars were imported as Standard Tessellation Language files into dentOne® softw...

Rhinoplasty Education During Residency: Discussion of Current Barriers, Challenges, and Opportunities for Improvement.

BACKGROUND: Rhinoplasty is a complex operation that warrants careful consideration of both functional and aesthetic principles. Despite its prevalence within plastic surgery and otolaryngology-head and neck surgery fields-its exposure and education are highly variable among training programs. The purpose of this study is to identify the various supplemental methods utilized outside of the operatin...

Ethics Education in Neonatology: Integrating Theory, Multimodal Methods, and AI Innovation.

This review examines current approaches to ethics education in neonatal-perinatal medicine (NPM), integrating adult learning theory, diverse teaching ...

Simulation-based evaluation of ChatGPT for healthcare associated infection surveillance using validated case scenarios.

BACKGROUND: Surveillance for healthcare-associated infections is central to infection prevention but remains complex, resource-intensive, and variable...

Evaluation of large language models as decision support tools for head and neck cancer management: A blinded multidisciplinary simulation study.

BACKGROUND: The management of head and neck cancer relies on multidisciplinary expertise; however, access to tumor boards remains variable. Large lang...

Large language models in Chinese anesthesiology residency examinations: a comparative analysis of performance, reliability and clinical reasoning.

Evaluating AI-Generated Geriatric Case Studies for Interprofessional Education: Systematic Analysis Across 5 Platforms.

BACKGROUND: Simulation-based learning (SBL) has become standard practice in educating health care professionals to apply their knowledge and skills in...

Veterinary workers report low knowledge of artificial intelligence but positive attitudes toward its adoption in diagnostic imaging and the workplace as a whole.

OBJECTIVE: To describe veterinary workers' knowledge, attitudes, and practices regarding AI in veterinary medicine, with an emphasis on diagnostic ima...

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 read...

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 du...

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 ...