Latest AI and machine learning research in work force for healthcare professionals.
Many uncertain factors exist in the water resource systems, leading to dynamic characteristics of th...
Nowadays, digital pathology plays a major role in the diagnosis and prognosis of tumours. Unfortunat...
Rehabilitative training has been shown to improve motor function following spinal cord injury (SCI)....
BACKGROUND: Mild cognitive impairment (MCI) is a stage preceding dementia, and early intervention is...
MR fingerprinting (MRF) is an innovative approach to quantitative MRI. A typical disadvantage of dic...
PURPOSE: To improve the image quality of inflated fixed cadaveric human lungs by utilizing ultra-hig...
Stroke is one of the leading causes of death and the primary cause of acquired disability worldwide....
When we view a scene, the visual cortex extracts and processes visual information in the scene throu...
BACKGROUND: Spinal cord injury (SCI) is a critical medical condition that causes numerous impairment...
We present a neural network model for familiarity recognition of different types of images in the pe...
The clinical characteristics and vascular computed tomography (CT) imaging characteristics of patien...
BACKGROUND: Data integration to build a biomedical knowledge graph is a challenging task. There are ...
To analyze the brain CT imaging data of children with cerebral palsy (CP), deep learning-based elect...
The use of artificial intelligence technology to analyze human behavior is one of the key research t...
Patients with rare diseases are a major challenge for healthcare systems. These patients face three ...
BACKGROUND: Lung region segmentation is an important stage of automated image-based approaches for t...
Convolutional neural networks (CNNs) are state-of-the-art computer vision techniques for various tas...
Gait disorders represent one of the most disabling aspects in multiple sclerosis (MS) that strongly...
Unmasking the decision making process of machine learning models is essential for implementing diagn...
We present an automated method to track and identify neurons in , called 'fast Deep Neural Correspon...
The healthcare benefits associated with regular physical activity recognition and monitoring have be...