Medical Education

Effectiveness of Virtual Reality-Based Simulation Using the Nintendo Wii Balance Board for Assessing the Risk of Falls in Young and Older Adults.

INTRODUCTION: Falls severely affect older adults and are emerging as a global health and financial burden for public health care systems. Multiple studies have validated the use of virtual reality (VR) to prevent falls and reduce the risk of falls among older adults with cognitive deficits. Therefore, we evaluated the effectiveness of VR-based cable car simulation (CCS) using a Nintendo Wii Balanc...

Integrating STEM career exploration into busy introductory biology courses through a student-driven podcast project.

Introductory biology courses at 2- and 4-year colleges attract students from diverse disciplines, fulfilling both science prerequisites and general education requirements. Therefore, these introductory classes provide an ideal opportunity to ignite interest in science and introduce students to STEM professions, which will likely expand with artificial intelligence (AI). Unfortunately, densely pack...

Critical elements for groundwater contamination source identification (GCSI) in sparse/discontinuous data scenarios: Physical constraints and spatiotemporal information.

Operating enterprises have complex, concealed engineering facilities, and in the event of leakage incidents, pollutants are released, accumulate, and ...

Design and Evaluation of a Faculty Development Workshop Series on Integrating Generative Artificial Intelligence in Medical Education: Mixed Methods Pilot Study.

BACKGROUND: Generative artificial intelligence (GenAI) tools are being increasingly applied to teaching and learning in medical education creating bot...

Uncertainty aware machine learning for bridging simulation and experiment in high throughput materials characterization.

High-throughput materials characterization is essential for accelerating materials discovery. To enable high-throughput characterization, machine lear...

Artificial intelligence assisted design of a novel cooperative learning technique for higher education.

Cooperative learning has long been recognized as an effective pedagogical strategy, yet the development of innovative techniques tailored to modern ed...

Utilizing generative artificial intelligence to create simulated patient for history taking in gynecology.

INTRODUCTION: This study aimed to evaluate the effectiveness of a generative artificial intelligence based simulated patient model in improving gyneco...

Challenges and future directions in AI-driven biomaterials for microbiome-associated oral infectious diseases: A systematic review.

Oral biofilm-induced antimicrobial resistance is the core pathogenic mechanism of microbiome-associated oral infectious diseases (dental caries, perio...

Artificial Intelligence (AI) Impact on Dental Education and Curriculum: A Systematic Review Following PRISMA Guidelines.

IMPORTANCE: AI technologies increasingly influence dental education, but their instructional value, stakeholder perspectives, and institutional implic...

Toward an AI-integrated nursing curriculum: A Kano model analysis of generative AI competency needs.

BACKGROUND: Generative artificial intelligence (GenAI) is increasingly influencing nursing practice and education, yet a gap remains between technolog...

What Are the Odds? Utilization of Artificial Intelligence to Predict Success in the Integrated Plastic Surgery Match.

OBJECTIVE: Despite widespread consensus that quantifiable application characteristics impact match success, no prospective predictive algorithm has be...

Unequal gains from artificial intelligence: Smart elderly health care, mental health of the elderly, and inequality.

As artificial intelligence becomes increasingly integrated into elderly healthcare systems, smart elderly health care (SEHC) has been promoted as a pr...

AI assessment of surgical technical skill adaptation across depth levels in simulated tumor resection: a case series study.

OBJECTIVE: Surgical procedures involving varying tissue depths present challenges to surgeons regarding accessibility and precision, restricting instr...

A hybrid simulation-machine learning proxy model for waterflood design optimization in the Bahariya Formation.

This study presents a novel hybrid methodology combining machine learning (ML) with conventional reservoir simulation to optimize waterflooding in the...

The impact of AI technology for ideological and political education teaching based on deep learning.

This study investigates the innovative use of deep learning models in ideological and political education (IPE) at vocational colleges. The study focu...

Simulation-based inference at the theoretical limit for fast, robust microstructural MRI with minimal diffusion data.

BACKGROUND: Diffusion-weighted magnetic resonance imaging provides a non-invasive way to probe brain tissue microstructure and is widely used in neuro...

Predictability of Same-Day Discharge Candidacy After Bariatric Surgery with Machine Learning.

INTRODUCTION: Despite growing interest, same-day discharge (SDD) after bariatric surgery remains uncommon due to challenges with patient selection. In...

Evaluation of artificial intelligence generated immersive virtual reality simulation on skill mastery.

BACKGROUND: Nursing education faces challenges in providing nursing students with sufficient clinical site opportunities due to healthcare staffing sh...

Does the Timing of USMLE Step 1 Affect Performance? A Comparison of Pre- and Post-Clerkship Timing in the Pass/Fail Era.

In 2022, Step 1 of the United States Medical Licensing Examination transitioned to pass/fail scoring, removing a major performance-oriented incentive ...

XAI-Exit: Interpretability-Driven Dynamic Early Exits for Efficient and Transparent DNN Inference.

Deep neural networks (DNNs) excel across domains but face challenges in resource-constrained and critical settings due to high computational cost and ...