Medical Education

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 regarding patient risk for adverse outcomes have been a part of health care for decades. However, modern CDS, which consists of automated predictions based on complex machine learning models and hundreds of complex input variables, faces obstacles to adopti...

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 of insufficient adaptability of design-major college students to AI-supported learning environments and examines the factors and mechanisms that influence their adaptability. Through a survey employing a questionnaire, 784 valid responses were gather...

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...

Transformer-based multi-agent traffic simulation for autonomous vehicle testing in shared urban road segments.

Microscopic traffic simulation plays a crucial role in the development and testing of autonomous driving systems. However, accurately reproducing traf...

Decoding the dynamic formation of bolus: A multimodal fusion and simulation framework for texture perception-regulated oral processing.

This study systematically analyzed the dynamic mechanisms through which food texture regulates bolus formation by integrating food and bolus propertie...

The application of large language models in orthopedic postgraduate education: potentials, challenges, and future prospects.

With the widespread integration of artificial intelligence (AI), orthopedics postgraduate education is transitioning into the intelligent era. Large l...

A multi-cohort evaluation of a curriculum-aligned, oncology-focused chatbot in pharmacy education.

INTRODUCTION: Pharmacy students increasingly rely on generative artificial intelligence (AI) for learning support, yet most available tools remain gen...

MEDI-SLATE: medical imaging slide-lecture aligned teaching ensemble.

Slide-based lectures remain the primary means by which undergraduate students learn about the mathematical, physical, and systems-level foundations of...

Learning inherent genetic patterns and trait associations with deep generative models for discrete genotype simulation.

BACKGROUND: Deep generative models open new avenues for simulating realistic genomic data while preserving privacy and addressing data accessibility c...

One Does Not Simply Walk Into Artificial Intelligence: A Distributed Leadership Framework for Healthcare Simulation.

Artificial intelligence is entering healthcare simulation, yet implementation remains fragmented and lacking coordinated governance. This article argu...

Personalized Digital Care Program Allocation for Older Adults: Reinforcement Learning-Based Simulation Study.

BACKGROUND: As the demand for innovative older adult care grows alongside a shortage of care workers, personalization is key to optimizing services an...

Topical review: Incorporating generative artificial intelligence into neuropsychology training: best practices, pitfalls, and recommendations for effective implementation.

OBJECTIVE: Generative artificial intelligence (AI) is rapidly transforming the field of neuropsychology by offering innovative opportunities to enhanc...

Use and Perceptions of Large Language Models Among Dental Students: Implications for Dental Education.

PURPOSE: This study aimed to quantify the prevalence and use cases of large language models (LLMs) among dental students, estimate perceived usefulnes...

Factors influencing large language model adoption among dental students: a cross-sectional study.

This research evaluates the factors influencing the behavioural intention (BI) to adopt large language models (LLMs) among dental students in educatio...

Prospective Prediction of Match Outcomes in Integrated Plastic Surgery: A Novel, Mixed-Methods Approach Incorporating Holistic Applicant Review.

BACKGROUND: Applying to an integrated plastic surgery program is among the most competitive processes in graduate medical education. Prior studies hav...

A simulation-based study of 3D printing angle optimization by integrating deep learning and NSGA-III for prosthesis and retainer manufacturing.

STATEMENT OF PROBLEM: Current dental 3-dimensional (3D) printing workflows lack automated tools for optimizing build orientations that preserve critic...

Predicting Melanoma Impact on the Swedish Healthcare System from the Adult Population Using Machine Learning on Registry Data.

Melanoma incidence has increased in Western countries over the past 50 years, leading to significant healthcare costs. In Sweden, comprehensive health...

Artificial Intelligence in Medical Education: Curriculum Design, Assessment Models, and Educational Infrastructure Across Undergraduate and Residency Training - A Narrative Review.

Artificial intelligence (AI) is rapidly becoming an integral part of everyday clinical practice, including cardiology and cardiovascular surgery. As A...