Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
Emotion recognition is an important research field for human-computer interaction. Audio-video emoti...
The use of artificial intelligence (AI) in healthcare comes with opportunities but also numerous cha...
Orthognathic surgical outcomes rely heavily on the quality of surgical planning. Automatic estimatio...
Robot-assisted hand training adopting end-effector devices results in an additional reduction of mot...
Disruptive innovation is an invention that disrupts an existing market and creates a new one by prov...
Thoracic sympathectomy to treat palmar hyperhidrosis (PH) has widely been performed. Many patients r...
To develop an efficient, embedded electroencephalogram (EEG) channel selection approach for deep neu...
BACKGROUND: In medical diagnosis of brain, the role of multi-modal medical image fusion is becoming ...
The central challenge in automated synthesis planning is to be able to generate and predict outcomes...
We consider a human-in-the-loop scenario in the context of low-shot learning. Our approach was inspi...
This paper proposes a multipurpose reinforcement learning based low-level multirotor unmanned aerial...
Edge-cloud collaborative inference can significantly reduce the delay of a deep neural network (DNN)...
Deep learning algorithms for left ventricle (LV) segmentation are prone to bias towards the training...
A manufacturing paradigm shift from conventional control pyramids to decentralized, service-oriented...
BACKGROUND: Many centres deny obese patients with a body mass index (BMI)Â >35 access to kidney trans...
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 ...