Latest AI and machine learning research in surveys for healthcare professionals.
The ecological and environmental science communities have embraced machine learning (ML) for empiric...
The emerging ultra-wide field of view (UWF) fundus color imaging is a powerful tool for fundus scree...
Computed tomographic pulmonary angiography (CTPA) is the gold standard for pulmonary embolism (PE) d...
BACKGROUND: Accurate solutions for the estimation of physical activity and energy expenditure at sca...
Surface-enhanced Raman scattering (SERS) is a powerful technique for sensitive label-free analysis o...
Medical imaging is an essential technique for the diagnosis and treatment of diseases in modern clin...
Human errors are considered to be the main causation factors of high-temperature molten metal accide...
The evaluation of food intake is important in scientific research and clinical practice to understan...
Recent progress in deep learning has led to accurate and efficient generic object detection networks...
In this research, the aim is to investigate an adaptive digital twin algorithm for fault diagnosis a...
Previous studies applying machine learning methods to psychosis have primarily been concerned with t...
Beyond their colorful appearances and versatile geometries, flowers can self-shape-morph by adapting...
Artificial intelligence (AI) is an innovative tool with the potential to impact medical physicists' ...
The Cancer Genome Atlas (TCGA) is one of the largest biorepositories of digital histology. Deep lear...
BACKGROUND: Healthcare is expected to increasingly integrate technologies enabled by artificial inte...
Unlike parametric regression, machine learning (ML) methods do not generally require precise knowled...
Gas identification/classification through pattern recognition techniques based on gas sensor arrays ...
In recent times, deep artificial neural networks have achieved many successes in pattern recognition...
Dissolved oxygen (DO) is an important indicator of river health for environmental engineers and ecol...
BACKGROUND: The limited availability of clinical texts for Natural Language Processing purposes is h...
In the modern era, deep learning techniques have emerged as powerful tools in image recognition. Con...