Latest AI and machine learning research in work force for healthcare professionals.
Artificial intelligence (AI), the computerized capability of doing tasks, which until recently was t...
Image generation is a long-standing problem in the machine learning and computer vision areas. In or...
BACKGROUND: Futurists have predicted that new autonomous technologies, embedded with artificial inte...
UNLABELLED: Constant-force isometric muscle training is useful for increasing the maximal strength ,...
OBJECTIVE: Conventional selection of pre-ictal EEG epochs for seizure prediction algorithm training ...
To improve the quality of MRI-based cerebral blood flow (CBF) measurements, a deep convolutional neu...
Technologies such as robot-assisted gait trainers or functional electrical stimulation can improve t...
BACKGROUND: Technology-assisted gait training (TAGT) with body weight support (BWS) has been designe...
BACKGROUND: The ability of nursing undergraduates to communicate effectively with health care provid...
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....
With the increasing acquisition of large-scale neural recordings comes the challenge of inferring th...
BACKGROUND: The dependence of deep-learning (DL)-based segmentation accuracy of brain MRI on the tra...
Background and Purpose- The purpose of this study was to investigate the effects of gait training wi...
BACKGROUND: Current lung cancer screening guidelines use mean diameter, volume or density of the lar...
PURPOSE: Ocular surgery, ear, nose and throat surgery and neurosurgery are typical types of microsur...
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...
BACKGROUND AND OBJECTIVE: To take full advantage of decision support, machine learning, and patient-...
We present a machine learning approach to automated force field development in dissipative particle ...