Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
The objective of the study was to evaluate the risk of bleeding complications in patients undergoing...
Finding peaks in chromatograms and determining their start and end points (peak picking) is a core t...
In Magnetic Resonance Imaging (MRI), the success of deep learning-based under-sampled MR image recon...
Deep learning represents end-to-end machine learning in which feature selection from images and clas...
Potato is the largest non-cereal food crop in the world. Timely estimation of end-of-season tuber pr...
Robot-aided gait training (RAGT) has been implemented to provide patients with spinal cord injury (S...
Models designed to detect abnormalities that reflect disease from facial structures are an emerging ...
To evaluate the feasibility and outcomes of performing robot-assisted pelvic surgery at a reduced an...
Cytometry technologies are essential tools for immunology research, providing high-throughput measur...
In this paper, an improved recurrent neural network (RNN) scheme is proposed to perform the trajecto...
Opioids play a critical role in acute postoperative pain management. Our objective was to develop ma...
The application of ultrasound (US) imaging in orthopedic surgery has always been a research directio...
The goal of this study was to propose and validate a control framework with level-2 autonomy (task a...
With the development of machine learning and artificial intelligence, many convolutional neural netw...
When deep convolutional neural networks (CNNs) are trained "end-to-end" on raw data, some of the fea...
BACKGROUND: Adequate self-management skills are of great importance for patients with chronic obstru...
Machine learning (ML) methods have the potential to automate clinical EEG analysis. They can be cate...
BACKGROUND: The number of applications of deep learning algorithms in bioinformatics is increasing a...
BACKGROUND: Intracranial aneurysms (IAs) are common in the population and may cause death.
In this article, we present a real-time electroencephalogram (EEG) based depth of anesthesia (DoA) m...
Tracklet association methods learn the cross camera retrieval ability though associating underlying ...