Latest AI and machine learning research in work force for healthcare professionals.
With the improvement of living standards, heart disease has become one of the common diseases that t...
With the emergence of high throughput single cell techniques, the understanding of the molecular and...
Handwritten prescriptions and radiological reports: doctors use handwritten prescriptions and radiol...
Pneumothorax is a potentially life-threatening condition that can be rapidly and accurately assessed...
BACKGROUND: The complexity of the relationships among the structures within the brain makes efficien...
The electrical activity produced during the heartbeat is measured and recorded by an ECG. Cardiologi...
BACKGROUND: Robotic rehabilitation is a commonly adopted technique used to restore motor functionali...
BACKGROUND: More complex cases are being performed robotically. This study aims to characterize tren...
Intelligent user interfaces (IUI) are driven by the goal of improvement in human-computer interactio...
This study presents a deep learning model devoted to the analysis of swimming using a single Inertia...
Ensembles are a widely implemented approach in the machine learning community and their success is t...
With the advent of the information age, people can establish good communication through Internet tec...
Distance and depth detection plays a crucial role in intelligent robotics. It enables drones to unde...
With the further research of artificial intelligence technology, motion recognition technology is wi...
To develop and verify an automatic classification method using artificial intelligence deep learning...
BACKGROUND: Several studies have shown that robotic devices can effectively improve motor function i...
BACKGROUND: A patient's health information is generally fragmented across silos because it follows h...
When creating training data for machine-learned interatomic potentials (MLIPs), it is common to crea...
We introduce an unsupervised clustering algorithm to improve training efficiency and accuracy in pre...
Deep learning on a limited number of labels/annotations is a challenging task for medical imaging an...
Text classification has been widely explored in natural language processing. In this article, we pro...