Latest AI and machine learning research in work force for healthcare professionals.
With the development of artificial intelligence technology in the medical field, clinical trials usi...
PURPOSE: To improve the performance of neural networks for parameter estimation in quantitative MRI,...
Asthma in children has a long duration and is prone to recurring attacks. Children will feel chest t...
Support vector machine (SVM) is an efficient classification method in machine learning. The traditio...
The Autoprogressive (AutoP) method is a data-driven inverse method that leverages finite element ana...
In order to improve the prediction effect of sports training performance and improve the effect of s...
As a result of the fast rise of globalization, people in China are learning English at a rapid pace....
The medical domain is often subject to information overload. The digitization of healthcare, constan...
One of the leading algorithms and architectures in deep learning is Convolution Neural Network (CNN)...
The study aimed to investigate the effectiveness of an individualized power training program based o...
High-fidelity results from atomistic simulations can only be obtained by using accurate force-field ...
In order to study the action recognition, tracking, and optimization of the training process based o...
Individuals with physical limb disabilities are often restricted to perform activities of daily life...
Lip language is an effective method of voice-off communication in daily life for people with vocal c...
In this study, a wavelet recurrent fuzzy neural network is used to conduct in-depth research and ana...
PURPOSE: Computed tomography (CT) is a technique of choice to image bone structure at different scal...
Deep learning (DL) has had unprecedented success and is now entering scientific computing with full ...
Cellular profiling with multiplexed immunofluorescence (MxIF) images can contribute to a more accura...
Overground powered lower limb exoskeletons (EXOs) have proven to be valid devices in gait rehabilita...
Supervised learning technologies have been used in medical-data classification to improve diagnosis ...
In this study, a three-dimensional (3D) printed soft robotic hand with embedded soft sensors, intend...