Latest AI and machine learning research in work force for healthcare professionals.
BACKGROUND: The purpose of this study was to report the impact of a pilot robotic general surgery re...
BACKGROUND: Robot-assisted gait training has been confirmed to have beneficial effect on the rehabil...
In sub-Saharan Africa, there is a significant unmet need for emergency care, with a shortage of trai...
Treatment and prevention of cardiovascular diseases often rely on Electrocardiogram (ECG) interpreta...
In Low- and Middle- Income Countries (LMICs), machine learning (ML) and artificial intelligence (AI)...
In this paper, a feature fusion method with guiding training (FGT-Net) is constructed to fuse image ...
Convolutional neural networks (CNNs) excel as powerful tools for biomedical image classification. It...
OBJECTIVE: To describe the effect of robotic locomotor training (RLT) and activity-based training (A...
INTRODUCTION: Postural instability is a cardinal feature of Parkinson's disease, together with rest ...
Time-of-flight magnetic resonance angiography (TOF-MRA) is one of the most widely used non-contrast ...
Monolithic neural networks and end-to-end training have become the dominating trend in the field of ...
Convolutional neural networks (CNNs) are widely recognized as the foundation for machine vision syst...
OBJECTIVE: To investigate the effectiveness of robot-assisted therapy on balance function in stroke ...
In this study, we conducted a citation network analysis of the to elucidate the scope, evolution, a...
OBJECTIVES: Diagnostic accuracy of artificial intelligence (AI) pneumothorax (PTX) detection in ches...
We propose a new regularization method for deep learning based on the manifold adversarial training ...
OBJECTIVE: The authors sought to evaluate the accuracy of a novel telehealth-compatible diagnostic s...
Deep Reinforcement Learning (RL) is increasingly used for developing financial trading agents for a ...
The antigenic diversity of influenza A viruses (IAV) circulating in swine challenges the development...
Systemic sclerosis (SSc) is a rare autoimmune, systemic disease with prominent fibrosis of skin and...
In this paper, we propose a cycle consistent network based end-to-end TTS for speaking style transfe...