Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
Challenging trunk neuromuscular control maximally using a seated balancing task is useful for unmask...
PURPOSE: To develop an end-to-end deep learning technique for nonrigid motion-corrected (MoCo) recon...
As the first diagnostic imaging modality of avascular necrosis of the femoral head (AVNFH), accurate...
Critical care clinicians are trained to analyze simultaneously multiple physiological parameters to ...
Early identification of resource needs is instrumental in promoting efficient hospital resource mana...
PURPOSE: Our retrospective study is to investigate an end-to-end deep learning model in identifying ...
This paper shows the design and modeling of an end effector with a bidirectional telescopic mechanis...
Current experience suggests that artificial intelligence (AI) and machine learning (ML) may be usefu...
Residue co-evolution has become the primary principle for estimating inter-residue distances of a pr...
The growing number of recording sites of silicon-based probes means that an increasing amount of neu...
Several studies have reported that stroke survivors displayed improved voluntary planar movements wh...
The traditional generalized sidelobe canceller (GSC) is a common speech enhancement front end to imp...
Keyword search (KWS) means searching for keywords given by the user from continuous speech. Conventi...
Evidence has accumulated enough to prove non-coding RNAs (ncRNAs) play important roles in cellular b...
Monolithic neural networks and end-to-end training have become the dominating trend in the field of ...
The remarkable successes of convolutional neural networks (CNNs) in modern computer vision are by no...
A rotator cuff tear (RCT) is an injury in adults that causes difficulty in moving, weakness, and pai...
In this paper, we propose a cycle consistent network based end-to-end TTS for speaking style transfe...
Recent image style transfer methods use a pre-trained convolutional neural network as their feature ...
This paper presents a lightweight, infrastructureless head-worn interface for robust and real-time r...
The aim of the study is to examine the effect of peritoneal re-approximation or non-approximation o...