Latest AI and machine learning research in surveillance for healthcare professionals.
MRI has firmly established itself as a mainstay for the detection, staging and surveillance of prost...
The COVID-19 pandemic has given rise to a broad range of research from fields alongside and beyond t...
Artificial Intelligence (AI) in healthcare marks a new era of innovation and efficiency, characteriz...
BACKGROUND: Ductal Carcinoma In Situ (DCIS) can progress to invasive breast cancer, but most DCIS le...
Mosquito-borne diseases have emerged in North Borneo in Malaysia due to rapid changes in the forest ...
Navigating clinical guidelines can be complex for real-time health care decision making. Our study e...
UNLABELLED: Effective policy to address the global threat of antimicrobial resistance requires robus...
Accurately predicting the prognosis of Gastrointestinal stromal tumor (GIST) patients is an importan...
BACKGROUND: Health care-associated infection (HAI) surveillance is vital for safety in health care s...
Generally, due to a lack of explainability, radiomics based on deep learning has been perceived as a...
This study presents a surveillance system developed for early detection of forest fires. Deep learni...
Chronic kidney disease (CKD) is a major cause of morbidity and mortality worldwide, but few studies ...
The Consolidated Standards of Reporting Trials extension for Artificial Intelligence interventions (...
BACKGROUND: Epstein-Barr virus (EBV) chronic high viral load (CHVL) may be defined by >16 000 copies...
Components of artificial intelligence (AI) for analysing social big data, such as natural language p...
BACKGROUND: Most previous research on the environmental epidemiology of childhood atopic eczema, rhi...
Artificial intelligence (AI) is being tested and deployed in major hospitals to monitor patients, le...
BACKGROUND: Liver dysfunction is one of the hallmarks of SARS-CoV-2 infection. The mechanism(s) of h...
INTRODUCTION: Artificial intelligence (AI) and machine learning (ML) in pediatric urology is gaining...
In this study, we utilized data from the Surveillance, Epidemiology, and End Results (SEER) database...
This work puts forth and demonstrates the utility of a reporting framework for collecting and evalua...