Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
Electrocardiogram (ECG) is often used together with a spectral Doppler ultrasound to separate heart ...
Segmentation of cardiac structures is one of the fundamental steps to estimate volumetric indices of...
To further extend the applicability of wearable sensors in various domains such as mobile health sys...
Temporal correlation in dynamic magnetic resonance imaging (MRI), such as cardiac MRI, is informativ...
Given the complexity and diversity of the cancer genomics profiles, it is challenging to identify di...
Electrocardiography (ECG) is essential in many heart diseases. However, some ECGs are recorded by pa...
New ongoing rural construction has resulted in an extensive mixture of new settlements with old ones...
Early fault detection in squirrel cage induction motor (SCIM) can minimize the downtime and maximize...
Recent advances in network science, control theory, and fractional calculus provide us with mathemat...
The objective of the study was to evaluate the risk of bleeding complications in patients undergoing...
In Magnetic Resonance Imaging (MRI), the success of deep learning-based under-sampled MR image recon...
Potato is the largest non-cereal food crop in the world. Timely estimation of end-of-season tuber pr...
Models designed to detect abnormalities that reflect disease from facial structures are an emerging ...
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...