Latest AI and machine learning research in surveys for healthcare professionals.
There is increasing use of psychotherapy apps in mental health care. This mixed methods pilot stud...
. This paper aims to investigate the feasibility and the validity of applying deep convolutional neu...
The international standard to ascertain the cause of death is medical certification. However, in man...
One of the common disorders in people with quadriplegia is having a weak grip strength that can affe...
Evidence-based STI (science, technology, and innovation) policy making requires accurate indicators ...
Unsupervised Domain Adaptation (UDA) makes predictions for the target domain data while labels are o...
To investigate validity evidence for a simulator-based test in robot-assisted radical prostatectomy...
Artificial intelligence (AI) is a potentially reliable assistant in the diagnosis of osteoporosis. T...
Background and purpose - Machine learning (ML) techniques are a form of artificial intelligence able...
Resting-state functional magnetic resonance imaging (rs-fMRI) has an inherently low signal-to-noise ...
There is clear evidence to suggest that diabetes does not affect all populations equally. Among adul...
PURPOSE: RobotReviewer is a machine learning system for semi-automated assistance in risk of bias as...
Despite the popularism of Bayesian neural networks (BNNs) in recent years, its use is somewhat limit...
Health prediction plays an essential role in improving the reliability of a sensor network by guidin...
For complex machine learning (ML) algorithms to gain widespread acceptance in decision making, we mu...
The quality of reconstructed dynamic PET images, as well as the statistical reliability of the estim...
Hip-hop competitions are performed across the world. In the recent inclusion in the 2018 Youth Olymp...
RATIONALE: This paper aims to show how the focus on eradicating bias from Machine Learning decision-...
This study aimed to evaluate the validity and precision of the International Physical Activity Quest...
Photoplethysmographic (PPG) measurements from ambulatory subjects may suffer from unreliability due ...
Responsive survey designs rely upon incoming data from the field data collection to optimize cost an...