Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
BACKGROUND: Ultrasound (US) simulation helps train physicians and medical students in image acquisit...
Accurate retention time (RT) prediction in liquid chromatography remains a significant consideration...
Recent studies have shown that effectively leveraging samples with label noise can enhance model rob...
BACKGROUND: A challenge in updating systematic reviews is the workload in screening the articles. Ma...
Acute ischemic stroke (AIS) is a major cause of mortality and morbidity, with hemorrhagic transforma...
This paper presents a terahertz metasurface based sensor design incorporating graphene and other pla...
Tai Chi, an Asian martial art, is renowned for its health benefits, particularly in promoting health...
Histopathology image analysis plays a pivotal role in disease diagnosis and treatment planning, rely...
. Tonic-clonic seizures (TCSs), which present a significant risk for sudden unexpected death in epil...
This data paper presents a manually labeled dataset of 1,214 images of personnel captured from a con...
OBJECTIVE: This study investigates the neurophysiological outcomes of combining robot-assisted gait ...
This study examines the complex relationships among artificial intelligence (AI) adoption in organiz...
INTRODUCTION: Musculoskeletal disorders (MSDs) represent a significant global health burden that lea...
BACKGROUND: Despite effective treatments for opioid use disorder (OUD), relapse and treatment drop-o...
The widespread deployment of intelligent vehicles necessitates comprehensive testing across diverse ...
The amount of biomedical data is growing, and managing it is increasingly challenging. While Findabl...
Vowel-based voice analysis is gaining attention as a potential non-invasive tool for COPD classifica...
With the continuous advancement of computer technology and sensor technology, rehabilitation robots ...
An optimized scheduling system for surgical procedures is considered fundamental for maximizing hosp...
Chronic kidney disease (CKD) is a major public health problem worldwide associated with cardiovascu...
Multivariate time series classification (TSC) is critical for various applications in fields such as...