Staffing & Scheduling

Role of Artificial Intelligence in Surgical Training by Assessing GPT-4 and GPT-4o on the Japan Surgical Board Examination With Text-Only and Image-Accompanied Questions: Performance Evaluation Study.

BACKGROUND: Artificial intelligence and large language models (LLMs)-particularly GPT-4 and GPT-4o-h...

Readiness and Acceptance of Nursing Students Regarding AI-Based Health Care Technology on the Training of Nursing Skills in Saudi Arabia: Cross-Sectional Study.

BACKGROUND: The rapid advancements in artificial intelligence (AI) technologies across various secto...

Incremental Learning-Enabled Fault Diagnosis of Dynamic Systems: A Comprehensive Review.

Effective fault diagnosis is crucial for maintaining the reliability and safety of industrial system...

DGMM: A Deep Learning-Genetic Algorithm Framework for Efficient Lead Optimization in Drug Discovery.

Lead optimization in drug discovery faces the dual challenge of maintaining structural diversity whi...

Measuring intensive care performance to attain collaborative quality improvement: Work in progress but much to be done.

Intensive Care Medicine must be viewed as an organized system of care that ensures delivery of timel...

Quantum Chemistry Calculation-Assisted Large-Scale Collision Cross Section Prediction Empowers Derivatization-Enhanced Multidimensional Metabolomics.

Derivatization-enhanced multidimensional metabolomics combined with ion mobility mass spectrometry w...

Pretraining-improved Spatiotemporal graph network for the generalization performance enhancement of traffic forecasting.

Traffic forecasting is considered a cornerstone of smart city development. A key challenge is captur...

Hydraulic Performance Modeling of Inclined Double Cutoff Walls Beneath Hydraulic Structures Using Optimized Ensemble Machine Learning.

This study investigates the effectiveness of inclined double cutoff walls installed beneath hydrauli...

An Alternative Approach in Anatomy Education: Design of a Learning Environment Based on Artificial Intelligence-Supported Virtual Manipulatives and Investigation of Its Effectiveness.

Given the challenges of teaching and learning anatomy, it is vital to explore tools that enhance kno...

Wide-/Narrow-Bandgap Heterojunction for High Performance Differential Photodetector with Tunable Response.

Amid the rapid advancement in modern photonics and artificial intelligence, optoelectronic devices w...

REVIEW ARTICLE: A Performance Benchmarking Review of Transformers for Speaker-Independent Speech Emotion Recognition.

Speech Emotion Recognition (SER) is becoming a key element of speech-based human-computer interfaces...

'For AI to change how economies work, it has to represent all of us'.

An explainable machine learning framework for railway predictive maintenance using data streams from the metro operator of Portugal.

The public transportation sector generates large volumes of sensor data that, if analyzed adequately...

Does Humanness Matter? An Ethical Evaluation of Sharing Care Work with Social Robots.

While social robots offer potential benefits like task assistance and companionship, their integrati...

Gait training using powered robotic exoskeleton for a person with spinal cord injury: a case report.

INTRODUCTION: Robotic Exoskeleton-assisted gait training is an emerging approach in spinal cord inju...

Unlocking the metabolic potential of endophytic fungi through epigenetics: a paradigm shift for natural product discovery and plant-microbe interactions.

Covering: up to December 2024Microbial metabolic pathways, including those of endophytic fungi, offe...

Role of High Fidelity Vs. Low Fidelity Experimental Data in Machine Learning Model Performance for Predicting Polymer Solubility.

Reliable classification of polymer-solvent compatibility is essential for solution formulation and m...

Employer liability in work accident: A machine learning application from the health and safety at work perspective in Colombia.

BackgroundWork accidents have been studied from the perspective of outcome indicators, quantifying t...

Preparing healthcare organisations for using artificial intelligence effectively.

Healthcare organisations (HCOs) must prepare for large-scale implementation of artificial intelligen...

Revisiting the Marcus inverted regime: modulation strategies for photogenerated ultrafast carrier transfer from semiconducting quantum dots to metal oxides.

Ultrafast charge transfer at quantum-dot/metal-oxide (QD-MO) heterojunctions governs the performance...

External validation of a motion capture-based surgical skill assessment system in laparoscopic simulation training environments.

PURPOSE: To externally validate our surgical skill assessment system, which provides comprehensive r...