Latest AI and machine learning research in cultural competence for healthcare professionals.
Humans rely heavily on the shape of objects to recognise them. Recently, it has been argued that Con...
One of the essential processes in modern sports is doping control. In recent years, specialized meth...
Existing mental health assessment methods mainly rely on experts' experience, which has subjective b...
Environmental variability often degrades the performance of algorithms designed to capture the globa...
The recent release of large-scale healthcare datasets has greatly propelled the research of data-dri...
Respiratory motion is one of the main sources of motion artifacts in positron emission tomography (P...
In the blast furnace ironmaking process, accurate prediction of silicon content in molten iron is of...
The increase in the spread of conversational agents urgently requires to tackle the ethical issues l...
An artificial intelligence-based method can predict distinct conformational states of membrane trans...
Hip fracture is the most common complication of osteoporosis, and its major contributor is compromis...
The two issues on dynamically generated hierarchical neural networks such as the sort of basic neuro...
Background Patients with fractures are a common emergency presentation and may be misdiagnosed at ra...
Asthma in children has a long duration and is prone to recurring attacks. Children will feel chest t...
The development and use of advanced and innovative neuroscience, neurotechnology and some forms of a...
Estimating age based on neuroimaging-derived data has become a popular approach to developing marker...
SignificancePublic databases are an important resource for machine learning research, but their grow...
In this article, we introduce explainable methods to understand how Human Activity Recognition (HAR)...
Artificial intelligence (AI) can transform health care by delivering medical services to underserved...
In this study, a three-dimensional (3D) printed soft robotic hand with embedded soft sensors, intend...
Training agents via deep reinforcement learning with sparse rewards for robotic control tasks in vas...
Molecular dynamics (MD) simulations have made great contribution to revealing structural and functio...