Latest AI and machine learning research in work force for healthcare professionals.
The training of physician-scientists lies at the heart of future medical research. In this commentar...
Artificial intelligence (AI), the computerized capability of doing tasks, which until recently was t...
BACKGROUND: Futurists have predicted that new autonomous technologies, embedded with artificial inte...
In the process of rehabilitation training for stroke patients, the rehabilitation effect is positive...
People explosion and fast economic growth are bringing a more serious land resource shortage crisis....
Hospitals need to invest a lot of manpower to manually input the contents of medical invoices (nearl...
Classification of the biological activities of chemical substances is important for developing new m...
Explaining colour variation among animals at broad geographic scales remains challenging. Here we de...
We present a machine learning approach to automated force field development in dissipative particle ...
OBJECTIVE: To determine barriers associated with the transition from bedside assistant to console su...
Real time hand movement trajectory tracking based on machine learning approaches may assist the earl...
Identifying new indications for existing drugs may reduce costs and expedites drug development. Drug...
Artificial neural networks, trained to perform cognitive tasks, have recently been used as models fo...
Sensor-based human activity recognition (HAR) has attracted interest both in academic and applied fi...
The rehabilitation robot is an application of robotic technology for people with limb disabilities. ...
BACKGROUND AND OBJECTIVE: The shortage of ophthalmologists in rural areas in China causes a lot of c...
Bio-signal based assessment for upper-limb functions is an attractive technology for rehabilitation....
Life expectancy is rising in most parts of the world as is the prevalence of chronic diseases. Subop...
We used two simple unsupervised machine learning techniques to identify differential trajectories of...
Recent years have witnessed the success of deep learning methods in human activity recognition (HAR)...
According to diagnostic criteria, skin tumors can be divided into three categories: benign, low degr...