Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Spanning both temperate and sub-frigid zones, Northeast China boasts typical boreal forests and abun...
BACKGROUND: Traditional puncture skills training for refresher doctors faces limitations in effectiv...
Based on deep mediatization theory and artificial intelligence (AI) technology, this study explores ...
The integration of artificial intelligence (AI) into healthcare is becoming increasingly mainstream....
This paper proposes DigitalUpSkilling, a novel IoT- and AI-based framework for improving and persona...
To date, limited research has been conducted on technology use among socially marginalized groups, s...
OBJECTIVE: To demonstrate and test the capabilities of the ACR Connect and AI-LAB software platform ...
Model quantization is widely used to realize the promise of ubiquitous embedded deep network inferen...
BACKGROUND: Over the years, approaches of the pharmaceutical industry to discover and develop drugs ...
Calcium oxalate (CaOx) nephrolithiasis constitutes approximately 75% of nephrolithiasis cases, resul...
This paper explores uncertainty quantification (UQ) as an indicator of the trustworthiness of automa...
Energy intensity (EI) prediction in wastewater treatment plants (WWTPs) suffers from inaccuracy and ...
Specifying and interpreting the occurrence of emerging pollutants is essential for assessing treatme...
Crawling robots are becoming increasingly prevalent in both industrial and private applications. Des...
This article discusses the limitations of artificial intelligence (AI) content detectors, citing stu...
BackgroundPoorly regulated and insufficiently maintained medical devices (MDs) carry high risk on sa...
A polluted air environment can potentially provoke infections of diverse respiratory diseases. The d...
Interpretable causal machine learning (ICML) was used to predict the performance of denitrification ...
INTRODUCTION: The use of artificial intelligence (AI) is growing quickly and has already had a signi...
Training machine learning models for tasks such as de novo sequencing or spectral clustering require...
Automated blood vessel segmentation is critical for biomedical image analysis, as vessel morphology ...