Medical Education

Dental Students' and Educators' Perceptions Toward the Adoption of Artificial Intelligence in Dental Education: A Survey-Based Study.

PURPOSE: The integration of artificial intelligence (AI) into dentistry has the potential to transform dental education, clinical training, and research. However, the perspectives of direct stakeholders remain underexplored. This cross-sectional study aimed to describe current knowledge, perceptions, and self-reported usage patterns of AI tools among dental students and faculty at a single institu...

Artificial Intelligence in Dental Education: Overview of Teaching, Assessment and Academic Performance Prediction.

Artificial Intelligence (AI) is increasingly used in dental education. The present study aimed to examine the current landscape of AI applications in dental education, focusing on their impact on teaching, assessment, and the prediction of academic performance. A literature search was performed based on articles published between November 2014 and March 2026 in the PubMed and Scopus databases. Stu...

AI Integration in Medical Imaging Education: A Nationwide Cross-Sectional Survey.

INTRODUCTION: The integration of artificial intelligence (AI) into the medical imaging (MI) curriculum has been advocated by many international profes...

Exact Discrete Stochastic Simulation With Deep-Learning-Scale Gradient Optimization.

Exact stochastic simulation of continuous-time Markov chains (CTMCs) is essential when discreteness and noise drive system behavior, but the hard cate...

Chronic Heat Exposure and Perceptual Reasoning in Preschool-Aged Children: Robust Estimation, Effect Modification and Period-Specific Analysis.

BACKGROUND: Emerging evidence links chronic heat exposure to impaired neurodevelopment, yet research on higher-order cognitive domains remains limited...

Personalized learning path recommendation for middle school students based on joint optimization of deep reinforcement learning and knowledge tracing.

The rapid advancement of personalized education has created an urgent need for intelligent learning path recommendation systems that can dynamically a...

Psychometric characterization of human and artificial intelligence performance on cardiology residency in-service examination items.

Large language models (LLMs) are increasingly evaluated using medical examination datasets, yet most studies emphasize overall accuracy rather than th...

Effects of a generative AI-assisted ADPIE Framework on critical thinking, learning self-efficacy, and clinical reasoning in nursing education: a quasi-experimental study.

BACKGROUND: The nursing process is a systematic, patient-centered framework essential for clinical reasoning and decision-making in nursing education....

Using Deep Learning Models as a Genetic Architecture for the Simulation of Breeding Schemes.

In several simulation studies, long-term selection led to the rapid depletion of genetic variance. These outcomes differ from real-life observations t...

Artificial Intelligence Enhanced Content Review for Curriculum Evaluation in Nursing Education: A Pilot Study.

BACKGROUND: Curricular evaluation is core to nursing education and can benefit from artificial intelligence-based automation. Large language models of...

Simulation-driven deep learning for the diagnosis of middle ear pathologies using wideband acoustic immittance.

Wideband acoustic immittance (WAI) provides comprehensive frequency-dependent information for diagnosing middle ear pathologies. However, the scarcity...

Deep learning-based treatment decision support framework for multi-vessel coronary artery disease using integrated coronary angiography and clinical data.

BACKGROUND: Treatment selection between percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG) for multi-vessel coronary ...

Transformer-Based Deep Learning Model for Predicting Hemoglobin Response to Mircera® in Hemodialysis Patients.

BACKGROUND: Anemia management in hemodialysis (HD) depends on individualized erythropoiesis-stimulating agent (ESA) dosing to achieve and maintain tar...

MRI-Only Simulation for Prostate MRI-Guided SBRT.

PURPOSE: The SMART (Stereotactic MR-Guided Adaptive Radiation Therapy) protocol for prostate SBRT has demonstrated favorable clinical outcomes using a...

Point-of-care ultrasound in cardiovascular imaging: current status and future prospects.

INTRODUCTION: As ultrasound technology has become more advanced and accessible over the years, point-of-care ultrasound (POCUS) is becoming a tool as ...

The Role of Artificial Intelligence in Nephrology Education.

Artificial intelligence (AI) and large language models are increasingly reshaping nephrology education. This review advances a hierarchical framework ...

Variable selection for clinical prediction models in low-dimensional data - a simulation study comparing traditional regression and machine learning methods.

PURPOSE: A wide range of methods exist for developing a clinical prediction model (CPM) and for performing variable selection. Our purpose was to deve...

Experience, awareness, attitudes and ecological worldviews related to sustainable development among physiotherapy students in Sweden: a cross-sectional survey.

BACKGROUND: To achieve a transition toward sustainable development, education is an essential driver of change. Factors like learners' attitudes, cult...

Virtual simulation as a catalyst for equitable and authentic interprofessional learning.

BACKGROUND: Interprofessional education (IPE) is essential for preparing health sciences students for collaborative practice, yet its implementation r...

Automated detection of lumbar disc herniation at L4-L5 and L5-S1 levels on sagittal MRI using a YOLO-based deep learning model.

OBJECTIVE: To conduct a preliminary single-center feasibility study of a YOLO-based deep-learning model for automated detection of lumbar disc herniat...