Latest AI and machine learning research in surveillance for healthcare professionals.
Advances in genome sequencing have accelerated the growth of sequenced genomes but at a cost in the ...
While machine learning models have become a mainstay in Cheminformatics, the field has yet to agree ...
HIV molecular epidemiology estimates the transmission patterns from clustering genetically similar v...
INTRODUCTION: In spite of the high frequency of recurrence of hepatocellular carcinoma (HCC) after r...
BACKGROUND: Machine learning (ML) algorithms are now increasingly used in infectious disease epidemi...
The availability of standardized guidelines regarding the use of electronic fetal monitoring (EFM) i...
Cardiac CT-Scan and cardiac magnetic resonance imaging (MRI) are two booming cardiac imaging modalit...
Heart-related anomalies are among the most common causes of death worldwide. Patients are often asym...
Recent attempts to utilize machine learning (ML) to predict pain-related outcomes from Electroenceph...
The epidemic increase in the incidence of Human Papilloma Virus (HPV) related Oropharyngeal Squamous...
Static and dynamic posture analysis was a critical clinical examination in physiotherapy and rehabil...
Inflammatory bowel diseases (IBD), namely Crohn's disease (CD) and ulcerative colitis (UC) are chron...
Postoperative mammograms present interpretive challenges due to postoperative distortion and hemato...
BACKGROUND: Vaccine safety surveillance is important because it is related to vaccine hesitancy, whi...
BACKGROUND: Chronic Kidney Disease (CKD), i.e., gradual decrease in the renal function spanning over...
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...
The association between physical appearance and income has been of central interest in social scienc...
BACKGROUND AND OBJECTIVE: To achieve the full potential of deep learning (DL) models, such as unders...
BACKGROUND: Self-reported symptoms during the COVID-19 pandemic have been used to train artificial i...