Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Conventional tumor chemotherapy faces limitations including drug resistance, high toxicity, non-sele...
OBJECTIVES: Total hip and knee arthroplasty (THA and TKA, respectively) are effective procedures but...
Pure shift NMR spectroscopy has found extensive applications in exploring the structure, function, a...
OBJECTIVE: Biomechanical loading is a known contributor to osteoarthritis (OA) pathogenesis, and one...
The perceived recovery of expected salary (RES) matters for work efficacy at a given amount of wage ...
Academic medical centers, and particularly academic radiology, are undergoing profound transformatio...
PURPOSE: High-resolution diffusion-weighted imaging (DWI) is clinically demanding. The purpose of th...
In recent years telemonitoring for heart failure (TmHi) has transitioned from project-based pilot ap...
BACKGROUND: The month of June has been recognized as the National Cytomegalovirus (CMV) Awareness Mo...
Neuromorphic visual devices have emerged as a critical strategy to address the limitation of the von...
This study examines the biosorption capacity of raw wood chip (WC) and cetyltrimethylammonium bromid...
Research on anxiety focuses on clinically relevant behaviours and neurophysiological responses, part...
Low-Dose Computed Tomography (LDCT) reduces radiation risk but introduces high noise levels that com...
Deploying deep learning-based object detectors on low-compute edge AI SoCs remains challenging, as r...
This data article presents a dataset of miniplant-scale reverse water-gas shift (rWGS) experiments c...
Accurate water temperature forecasting during winter operation periods is critical for the North Ext...
Rare-earth-based materials are attracting growing interest for neuromorphic devices due to their uni...
BACKGROUND: Patient recruitment for clinical trials remains a major challenge, with 86% of trials fa...
PURPOSE OF REVIEW: Artificial intelligence is increasingly advancing both fundamental research and c...
Accurate classification of hematopoietic cancer subtypes remains challenging due to the multipotent ...
Deep neural networks have demonstrated impressive performance across various fields such as computer...