Latest AI and machine learning research in health policy for healthcare professionals.
Federated learning holds great potential for enabling large-scale healthcare research and collaborat...
The incorporation of artificial intelligence (AI) in health care offers revolutionary enhancements i...
While multi-modal deep learning approaches trained using magnetic resonance imaging (MRI) and fluoro...
Fluorescence excitation-emission matrix (FEEM) spectroscopy is increasingly utilized in water qualit...
Real-world multi-agent decision-making systems often have to satisfy some constraints, such as harmf...
ELM (Extreme learning machine) has drawn great attention due its high training speed and outstanding...
OBJECTIVE: To systematically evaluate glioma radiomics literature on differentiating between radiati...
Quality control of immunohistochemistry (IHC) slides is crucial to ascertain accurate patient manage...
PURPOSE: This study aimed to assess the image quality and the diagnostic value of deep learning reco...
Wearable technology has expanded the applications of photoplethysmography (PPG) in remote health mon...
Pretrained language models have demonstrated strong capability and versatility in natural language p...
Diagnosing ureteral stones with low-dose CT in patients with metal hardware can be challenging beca...
Medical image segmentation plays a crucial role in addressing emerging healthcare challenges. Althou...
Wearable devices with continuous monitoring capabilities are critical for the daily detection of epi...
Using chemical laboratory procedures to estimate the fruit quality parameters (biochemical parameter...
For unknown nonlinear systems with state constraints, it is difficult to achieve the safe optimal co...
In the current era of digitalization and greenization, it is of great importance to explore how ente...
Accurate water quality prediction is paramount for the sustainable management of surface water resou...
Accurate air pollution monitoring is critical to understand and mitigate the impacts of air pollutio...
To accelerate the clinical adoption of quantitative magnetic resonance imaging (qMRI), frameworks ar...
PURPOSE: Commonly used MR image quality (IQ) metrics have poor concordance with radiologist-perceive...