Medical Education

Beyond the hype: A simulation study evaluating the predictive performance of machine learning models in psychology.

Although machine learning (ML) methods are gaining popularity in psychological research, the debate about their usefulness ranges from hype to disillusionment. The discrepancy between the hopes placed in ML methods and the empirical reality is often attributed to the quality of psychological data sets, which tend to be small and subject to imprecise measurement. In this simulation study, we examin...

General Intelligence-Based Fragmentation (GIF): A Framework for Peak-Labeled Spectra Simulation.

Despite growing reference libraries and advanced computational tools, progress in the field of metabolomics remains constrained by low rates of annotating measured spectra. The recent developments of large language models (LLMs) have led to strong performance across a wide range of generation and reasoning tasks, spurring increased interest in LLMs' application to domain-specific scientific challe...

Artificial Intelligence-Powered Simulation for Telehealth Communication Training: Bridging Traditional Simulation and Artificial Intelligence.

INTRODUCTION: Traditional simulation-based communication training remains resource-intensive and difficult to scale. While artificial intelligence (AI...

Artificial intelligence related anxiety among dental students: associations with demographics and AI use behaviors.

BACKGROUND: Artificial intelligence (AI) is increasingly integrated into dental diagnostics and education, including AI-assisted radiograph interpreta...

Attention-enhanced spatiotemporal deep learning for predictive maintenance in oil and gas assets: towards Maintenance 5.0.

The adoption of Maintenance 5.0 signifies a shift towards an advanced level of human-centered asset management that prioritizes self-sufficiency, resi...

Source characterization of trace elements and impacts of salinization using geochemical modelling with machine learning approach and Monte-Carlo based health risk assessment in coastal aquifer zones.

This work investigated the trace element contamination, spatial distribution and their source of origin along with health risk assessment in the coast...

MolCrysKit: A Topology-Aware Toolkit for Bridging Experimental Molecular-Crystal Structures and Simulation-Ready Modeling.

Modeling molecular crystals requires addressing two main challenges: (i) maintaining the integrity of chemically bonded molecular units during structu...

"Do as I say and not as I do: Surgical critical care program directors shape the future" authors' response to the Letter to the Editor entitled: "Artificial intelligence literacy and infectious diseases competency: Essential considerations for future revisions of the surgical critical care curriculum".

Bridging the Implementation Gap in Medical AI Education: 3-Lever Framework for Concurrent Reform.

The rapid integration of artificial intelligence (AI) into clinical practice necessitates urgent restructuring of medical education and physician asse...

Educational strategies in prenatal anomaly scanning: teaching, simulation and competence assessment.

INTRODUCTION: Prenatal anomaly scanning is a core component of obstetric care, yet remains highly operator-dependent. Variability in training contribu...

Narrowing down the cause of the hard-sphere nucleation discrepancy: The free energy of precritical nuclei is consistent with predictions.

Predicting the rate of crystal nucleation is among the most substantial long-standing challenges in condensed matter. In the system most studied (hard...

A Simulation-Free Radiation Therapy Workflow Using Synthetic Computed Tomography Generated from Diagnostic Magnetic Resonance Imaging for Personalized Hippocampal-Sparing Whole-Brain Treatment.

PURPOSE: The conventional computed tomography (CT)-based consultation to simulation process for hippocampal-sparing whole-brain radiation therapy (HS-...

An Automated Curriculum to Support Behavioral Health Counseling Among Pediatric Residents: Usability Study.

BACKGROUND: Behavioral health concerns are common in pediatric practice, with pediatricians reporting a lack of skills related to providing effective ...

Modeling Diabetes Risk and Progression With Public Health Data: Ontology-Guided, Simulation-Capable Digital Twin Study.

BACKGROUND: Digital twins (DTs) offer a paradigm for health care by enabling data-driven, simulation-capable representations of individual health traj...

Engaging Hospital Staff to Identify Levers for Adoption of Clinical Decision Support: Protocol for a Single-Site Case Study Using System Dynamics Group Model Building.

BACKGROUND: Clinical decision support (CDS) tools that provide patient-specific and evidence-based information to clinicians and care managers regardi...

Assessing Cognitive Complexity in Student Interactions With AI-Based Learning Activities: Using Bloom's Taxonomy to Foster Critical AI Literacy.

BACKGROUND: Critics of AI note its potential to foster passivity, intellectual dependency, and reproduction of inaccurate or plagiarized content. Stra...

AI in design education: Factors affecting students' professional learning adaptability.

Against the backdrop of accelerated reconstruction of the design-education ecosystem by artificial intelligence, this study focuses on the core issue ...

Feasibility of implementing a multicultural curriculum through artificial intelligence: perspectives of educational science experts.

HySimODE: A hybrid stochastic-deterministic simulation framework for multiscale models of biological systems.

Hybrid simulation is essential for modeling biochemical systems that mix low-copy stochastic dynamics with high-abundance deterministic processes. We ...

Training in diagnostic and interventional endoscopic ultrasound: a state-of-the-art review.

INTRODUCTION: Endoscopic ultrasound (EUS) has progressed from a primarily diagnostic modality to an essential diagnostic and therapeutic platform. The...