Latest AI and machine learning research in primary care for healthcare professionals.
BACKGROUND: Recent work has shown the potential of using audio data (eg, cough, breathing, and voice...
The rapid spread of COVID-19 has prompted a surge in the adoption of technology, highlighting a numb...
Lung infections caused by bacteria and viruses are infectious and require timely screening and isola...
Background A deep learning (DL) model to identify lung cancer screening candidates based on their ch...
Due to concealed initial symptoms, many diabetic patients are not diagnosed in time, which delays tr...
In the field of medical image processing, due to the differences in tissues, organs, and imaging met...
Cardiovascular diseases (CVD) are the leading cause of death worldwide. People affected by CVDs may ...
Intelligent health diagnosis for young children aims at maintaining and promoting the healthy develo...
Smart maintenance is essential to achieving a safe and reliable railway, but traditional maintenance...
The continuous monitoring of an individual's breathing can be an instrument for the assessment and e...
Currently, software products for use in medicine are actively developed. Among them, the dominant sh...
BACKGROUND: Studies on Type-2 Diabetes Mellitus (T2DM) have revealed heterogeneous sub-populations i...
Affective computing through physiological signals monitoring is currently a hot topic in the scienti...
Hypertension is a major cardiovascular risk factor that is responsible for a heavy burden of morbidi...
The objective of this research was to investigate the application values of magnetic resonance imagi...
Predicting clinical risk is an important part of healthcare and can inform decisions about treatment...
The study's aim was to externally validate a new predictive model for the new baseline glomerular f...
The current high energy prices pose a serious challenge, especially in the domestic economy. In this...
BACKGROUND/OBJECTIVES: The study considers the problem of the inclusion of people with obesity in th...
OBJECTIVES: We adopted the machine-learning algorithms and deep-learning sequential model to determi...
The COVID-19 pandemic has changed the way we practice medicine. Cancer patient and obstetric care la...