Latest AI and machine learning research in surveillance for healthcare professionals.
BACKGROUND: Chronic Kidney Disease (CKD), i.e., gradual decrease in the renal function spanning over...
BACKGROUND: Vaccine safety surveillance is important because it is related to vaccine hesitancy, whi...
Life threatening diseases like adult T-cell leukemia, neurodegenerative diseases, and demyelinating ...
Although artificial intelligence models have demonstrated high accuracy in identifying specific orth...
In this study, we aimed to propose a novel diabetes index for the risk classification based on machi...
BACKGROUND: Self-reported symptoms during the COVID-19 pandemic have been used to train artificial i...
BACKGROUND AND OBJECTIVE: To achieve the full potential of deep learning (DL) models, such as unders...
INTRODUCTION: The Transparent Reporting of a multivariable prediction model of Individual Prognosis ...
Due to the prevalence of globalization and the surge in people's traffic, diseases are spreading mor...
There has been an exponential rise in artificial intelligence (AI) research in imaging in recent yea...
INTRODUCTION: Standards for Reporting of Diagnostic Accuracy Study (STARD) was developed to improve ...
Identification of those at greatest risk of death due to the substantial threat of COVID-19 can bene...
Artificial Intelligence can be leveraged to analyze great amounts of data. It can be used on images ...
Surveillance cameras are being installed in many primary daily living places to maintain public safe...
Reporting guidelines are structured tools developed using explicit methodology that specify the mini...
In 2012, the European Association of Urology (EAU) Ad Hoc Panel proposed a standardised methodology ...
Effective and timely disease surveillance systems have the potential to help public health officials...
Rare diseases affect between 25 and 30 million people in the United States, and understanding their ...
Background and purpose - Artificial intelligence (AI), deep learning (DL), and machine learning (ML)...
Adverse drug reaction (ADR) reporting is a major component of drug safety monitoring; its input will...
In recent years, the field of artificial intelligence (AI) in oncology has grown exponentially. AI s...