Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Molecular machine learning (ML) has proven important for tackling various molecular problems, such a...
Self-supervised learning (SSL) reduces the need for manual annotation in deep learning models for me...
Molecular representation learning has remarkably accelerated the development of drug analysis and di...
Time-dependent diffusion magnetic resonance imaging (TDDMRI) is useful for the non-invasive characte...
Robot-assisted gait training (RAGT) is a promising technique for improving the gait ability of elder...
Stability analysis is an essential aspect of studying the generalization ability of deep learning, a...
In this study, we investigate the application of self-supervised learning via pre-trained Long Short...
Machine learning (ML) is increasingly prevalent in mental health care, with contemporary initiatives...
OBJECTIVE: The aim of this study was compare the effects of combined training, which included robot-...
BACKGROUND: Treadmill based Robotic-Assisted Gait Training (t-RAGT) provides for automated locomotor...
Bloom-forming algae present a unique challenge to water managers as they can significantly impair pr...
The latest advancements of deep learning have resulted in a new era of natural language processing. ...
PURPOSE: Coronary CT angiography (CCTA) is well established for the diagnostic evaluation and progno...
OBJECTIVES: To assess the current state-of-the-art in deep learning methods applied to pre-operative...
One of the primary sources of suboptimal image quality in ultrasound imaging is phase aberration. It...
Large amounts of fMRI data are essential to building generalized predictive models for brain disease...
This article proposes a model-free kinematic control method with predefined-time convergence for rob...
Brain-computer interfaces (BCIs) provide a direct pathway from the brain to external devices and hav...
BACKGROUND: Laparoscopic cholecystectomy (LC) is the gold standard for treating symptomatic gallston...
Land use changes are of critical importance in understanding and managing environmental sustainabili...
BACKGROUND: Whether machine learning approaches are superior to classical statistical models for sur...