Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
In recent years, deep learning (DL) has emerged as a powerful tool in clinical imaging, offering unp...
As the global demand for clean energy continues to grow, the sustainable development of clean energy...
The application of machine learning (ML) to -omics research is growing at an exponential rate owing ...
This research emphasises the value of physical training for table tennis players, particularly as ba...
To develop and assess a deep learning (DL) pipeline to learn dynamic MR image reconstruction from pu...
Automated detection of cervical abnormal cells from Thin-prep cytologic test (TCT) images is crucial...
BACKGROUND: Robot-assisted gait training (RAGT) is promising to help walking rehabilitation in cereb...
A crucial bottleneck in medical artificial intelligence (AI) is high-quality labeled medical dataset...
Developing an optimized and targeted design approach for metal-modified biochar based on water quali...
Stroke often results in sensory deficits, muscular weakness, and diminished postural control, thereb...
BACKGROUND: There is an urgent need worldwide for qualified health professionals. High attrition rat...
. To improve breast cancer risk prediction for young women, we have developed deep learning methods ...
Segmentation and classification of large numbers of instances, such as cell nuclei, are crucial task...
OBJECTIVE: To define the current state of peer-reviewed literature demonstrating the usability, acce...
OBJECT: To enable high-quality physics-guided deep learning (PG-DL) reconstruction of large-scale 3D...
BACKGROUND: Gait disorder remains a major challenge for individuals with stroke, affecting their qua...
BACKGROUND: Over 80% of patients with stroke experience finger grasping dysfunction, affecting indep...
To improve the recognition effect of the folk dance image recognition model and put forward new sugg...
Asthma, a common chronic respiratory disease among children and adults, affects more than 200 millio...
This study presents a novel approach to modeling the velocity-time curve in 100m sprinting by integr...
While previous research studies have focused on either caregivers' or residents' perception and use ...