Latest AI and machine learning research in work force for healthcare professionals.
BACKGROUND: Despite the dramatic increase in the use of medical imaging in various therapeutic field...
Current segmentation practice for thoracic cancer RT considers the whole heart as a single organ des...
Task allocation is a fundamental requirement for multi-robot systems working in dynamic environments...
The forces exerted by single cells in the three-dimensional (3D) environments play a crucial role in...
Over the last 20Â years, numerous technical innovations have been introduced to the histopathology la...
The class distribution of a training dataset is an important factor which influences the performance...
Embedded soft sensors can significantly impact the design and control of soft-bodied robots. Althoug...
Combining experiments with artificial intelligence algorithms, we propose a machine learning based a...
The research purpose is to study the standardization and scientizing of physical training actions. S...
Alkaline soil is widely distributed in China. Its rational utilization is an effective measure to so...
The two issues on dynamically generated hierarchical neural networks such as the sort of basic neuro...
The outcomes of computational chemistry and biology research, including drug design, are significant...
Context: Qualitative research - crucial for understanding human behavior - remains underutilized, in...
This study aims to generate a deep learning algorithm-based model for quantitative prediction of fin...
The Autoprogressive (AutoP) method is a data-driven inverse method that leverages finite element ana...
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...
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 ...
Individuals with physical limb disabilities are often restricted to perform activities of daily life...
Deep learning (DL) has had unprecedented success and is now entering scientific computing with full ...