Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
INTRODUCTION: Fast and accurate diagnosis of acute stroke is crucial to timely initiate reperfusion ...
Manual segmentation of tumors and organs-at-risk (OAR) in 3D imaging for radiation-therapy planning ...
Physiotherapy is a critical area of healthcare that involves the assessment and treatment of physica...
There is a lack of training curricula and educational concepts for robotic-assisted surgery (RAS). I...
The Kováts retention index (RI) is a quantity measured using gas chromatography and is commonly used...
EMG-driven robot hand training can facilitate motor recovery in chronic stroke patients by restoring...
Anatomical differences between sexes in the vestibular system have been reported. It has also been ...
Predicting vigilance impairment in high-risk shift work occupations is critical to help to reduce wo...
Pathology diagnosis based on EEG signals and decoding brain activity holds immense importance in und...
The emergence of artificial intelligence (AI) has greatly propelled progress across various sectors ...
This comprehensive review delves into the intricate landscape of cast post retention in restorative ...
Mangiferin (MGF) is a phenolic compound, which is a major source of MGF is the mango tree. MGF posse...
Customer churn prediction (CCP) implies the deployment of data analytics and machine learning (ML) t...
Extra robotic arms (XRAs) are gaining interest in neuroscience and robotics, offering potential tool...
BACKGROUND: Most mental health care providers face the challenge of increased demand for psychothera...
Artificial intelligence and machine learning techniques are increasingly used for different tasks re...
Membrane fouling is a critical bottleneck to the widespread adoption of membrane separation processe...
Clinical trials are the essential assessment for safe, reliable, and effective drug development. Dat...
Chemical shift assignment is vital for nuclear magnetic resonance (NMR)-based studies of protein str...
In this work, we present a hardware-software solution to improve the robustness of hand gesture reco...
Deep learning in medical imaging has the potential to minimize the risk of diagnostic errors, reduce...