Latest AI and machine learning research in covid-19 for healthcare professionals.
The Qingfei Paidu decoction (QFPDD) is a widely acclaimed therapeutic formula employed nationwide fo...
Flooding is a major natural hazard worldwide, causing catastrophic damage to communities and infrast...
Stroke is a neurological condition that usually results in the loss of voluntary control of body mov...
Differential diagnosis of acute loss of consciousness (LOC) is crucial due to the need for different...
BACKGROUND AND OBJECTIVE: To develop the COVid Veteran (COVet) score for clinical deterioration in V...
INTRODUCTION: The emerging rise in novel computer technologies and automated data analytics has the ...
BACKGROUND: Multimorbidity is a significant public health concern, characterized by the coexistence ...
BACKGROUND: Diagnoses entered by general practitioners into electronic medical records have great po...
Vertebral compression fractures (VCFs) of the thoracolumbar spine are commonly caused by osteoporosi...
BACKGROUND: Machine learning classifiers are increasingly used to create predictive models for patho...
Fast detection of viral infections is a key factor in the strategy for the prevention of epidemics e...
In the domain of Computer-Aided Diagnosis (CAD) systems, the accurate identification of cancer lesio...
AIMS: Over 50% of breast cancer cases are "Human epidermal growth factor receptor 2 (HER2) low breas...
Small insertions and deletions (indels) are critical yet challenging genetic variations with signifi...
This study aimed to investigate the acceptance of adapted physical activity (APA) by teachers and st...
The detection of hepatitis B surface antigen (HBsAg) is critical in diagnosing hepatitis B virus (HB...
The value of human papillomavirus (HPV) testing for cervical cancer screening is well established; h...
Electrochemical immunosensors, surpassing conventional diagnostics, exhibit significant potential fo...
PURPOSE: Cardiopulmonary exercise testing (CPET) is considered the gold standard for assessing cardi...
This research explores machine learning algorithms for reservoir inflow prediction, including long s...
Unlocking task-related EEG spectra is crucial for neuroscience. Traditional convolutional neural net...