Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Adoption of electronic medical records in hospitals generates a large amount of data. Health care pr...
The race to make the dream of artificial intelligence a reality comes parallel with the increasing s...
The automatic analysis of conversational audio remains difficult, in part, due to the presence of mu...
OBJECTIVE: The aim of this study was to test the diagnostic performance of a deep learning-based tri...
OBJECTIVE: The aim of the study was to compare the effects of progressive reducing assistance force ...
Assisted diagnosis using artificial intelligence has been a holy grail in medical research for many ...
There are many potential human-machine interfaces for controlling complex robotics. However, restri...
The aim of this systematic review and meta-analysis was to evaluate the effectiveness of robot-assis...
Gaining knowledge and actionable insights from complex, high-dimensional and heterogeneous biomedica...
Spectral efficient frequency division multiplexing (SEFDM) can improve the spectral efficiency for n...
OBJECTIVEGlioblastoma (GBM) and primary central nervous system lymphoma (PCNSL) are common intracran...
BACKGROUND: An assist-as-needed robot-assisted gait training protocol was recently developed. It all...
Artificial intelligence and other forms of information technology are only just beginning to change ...
OBJECTIVE: Robot-assisted rehabilitation therapy of the upper extremity after stroke has been studie...
This paper presents an elbow training device using the Mechanically Adjustable Stiffness Actuator(MA...
Upper-limb rehabilitation training for hemiplegic patients has been primarily conducted by human the...
Clinical investigators have asserted patients should be active participants in the therapy process i...
This study is aimed at assessing of a robot intervention in a task-based upper-arm rehabilitation pr...