Latest AI and machine learning research in surveys for healthcare professionals.
Cognitive performance can be predicted from an individual's functional brain connectivity with modes...
Various intelligent technologies have been applied during COVID-19, which has become a worldwide pub...
As a definition, Human-Machine Interface (HMI) enables a person to interact with a device. Starting ...
With the development of information and technology, especially with the boom in big data, healthcare...
The present study seeks to examine individuals' stream of thought in real time. Specifically, we ask...
OBJECTIVES: To investigate the general population's view on artificial intelligence (AI) in medicine...
BACKGROUND: The nature of paediatric radiology work poses several challenges for developing and impl...
Rare diseases (RDs) concern a broad range of disorders and can result from various origins. For a lo...
Brain-Computer interfaces (BCIs) enhance the capability of human brain activities to interact with t...
RESEARCH QUESTION: What is the intra- and inter-centre reliability in embryo grading performed accor...
BACKGROUND: Machine learning (ML) algorithms have been successfully employed for prediction of outco...
Histopathologic evaluation of muscle biopsy samples is essential for classifying and diagnosing musc...
BACKGROUND: Letters of recommendation (LoRs) play an important role in resident selection. Author la...
The Coronavirus Disease (COVID-19) was declared a pandemic disease by the World Health Organization ...
The increasing demand for smart vehicles with many sensing capabilities will escalate data traffic i...
BACKGROUND: An artificial intelligence (AI)-assisted contouring system benefits radiation oncologist...
Cancer early detection increases the chances of survival. Some cancer types, like pancreatic cancer,...
This paper presents a thorough review of methods used in various research articles published in the ...
In recent years, there has been an immense amount of research into fall event detection. Generally, ...
Anomaly detection is the process of identifying unexpected data samples in datasets. Automated anoma...
BACKGROUND: As a hot method in machine learning field, the forests approach is an attractive alterna...