Latest AI and machine learning research in surveys for healthcare professionals.
OBJECTIVES: Radiologists' perception is likely to influence the adoption of artificial intelligence ...
PURPOSE: To develop a two-stage three-dimensional (3D) convolutional neural networks (CNNs) for full...
BACKGROUND: Parents' use of mobile technologies may interfere with important parent-child interactio...
Machine Learning (ML) is on the rise in medicine, promising improved diagnostic, therapeutic and pro...
The digital information age has been a catalyst in creating a renewed interest in Artificial Intelli...
BACKGROUND: Accurate estimating glomerular filtration rate (GFR) is crucial both in clinical practic...
To investigate validity evidence for a simulator-based test in robot-assisted radical prostatectomy...
Brain signals refer to the biometric information collected from the human brain. The research on bra...
Artificial intelligence (AI) is a potentially reliable assistant in the diagnosis of osteoporosis. T...
Perception capability assumes significant importance for human-robot interaction. The forthcoming in...
OBJECTIVE: Video recording and video recognition (VR) with computer vision have become widely used i...
BACKGROUND: Artificial intelligence (AI) is gaining increasing importance in many medical specialtie...
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 ...
Acoustic event detection and analysis has been widely developed in the last few years for its valuab...
The current gold standard in cancer diagnosis-the microscopic examination of hematoxylin and eosin (...
There is clear evidence to suggest that diabetes does not affect all populations equally. Among adul...
In neural networks literature, there is a strong interest in identifying and defining activation fun...
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...
Brain tumor is one of the most dangerous cancers in people of all ages, and its grade recognition is...