Latest AI and machine learning research in surveys for healthcare professionals.
Digital histopathology poses several challenges such as label noise, class imbalance, limited availa...
At present, the classification method used in image colour element analysis in China is still based ...
BACKGROUND: Few studies fairly compared anorectal function and prognostic outcomes between patients ...
Recently, the deep learning (DL) dimension of artificial intelligence has received much attention fr...
Hyperspectral imaging enables many versatile applications for its competence in capturing abundant s...
For a very long time, researchers, educationists, practitioners, and psychologists have tried to con...
Flourishing in recent years, intelligent electronics is desirably pursued in many fields including b...
BACKGROUND: The gold standard for COVID-19 diagnosis-reverse-transcriptase polymerase chain reaction...
The integration of human and machine intelligence promises to profoundly change the practice of medi...
Imbalanced class distribution is an inherent problem in many real-world classification tasks where t...
Within the literature concerning modern machine learning techniques applied to the medical field, th...
Recent innovations within the field of robotic surgery have particular relevance to colorectal surge...
BACKGROUND: Chatbots, empowered by artificial intelligence, are becoming increasingly popular in man...
Policing efforts to thwart crime typically rely on criminal infraction reports, which implicitly man...
Cardiovascular magnetic resonance (CMR) derived ventricular volumes and function guide clinical deci...
This paper addresses data mining and neural network model construction and analysis to design a data...
The evidence-based medicine (EBM) movement is stepping up its efforts to assess medical artificial i...
In this review, we intend to present a complete literature survey on the conception and variants of ...
With the development of society, China pays more and more attention to cultural education. The teach...
Based on the risk management of exposure to foreign exchange assets and liabilities and the applicat...
Early diagnosis, prioritization, screening, clustering, and tracking of patients with COVID-19, and ...