Latest AI and machine learning research in primary care for healthcare professionals.
COVID-19 is still placing a heavy health and financial burden worldwide. Impairment in patient scree...
The clinical needs of rapidly screening liver cancer in large populations have asked for a facile an...
Big data and applications of artificial intelligence (AI), such as machine learning or deep learning...
In the twenty-first century, the collaboration of control engineering and the healthcare sector has ...
Interval cancers are a commonly seen problem in organized breast cancer screening programs and their...
Accurate and early diagnosis is critical to proper malaria treatment and hence death prevention. Sev...
Glaucoma is a disease associated with the loss of retinal ganglion cells (RGCs), and remains one of ...
Big data and its approaches are generally helpful for healthcare and biomedical sectors for predicti...
Breast cancer remains a global challenge, causing over 600,000 deaths in 2018 (ref. ). To achieve ea...
A major limitation of screening breast ultrasound (US) is a substantial number of false-positive bio...
Advances in deep learning technology have enabled complex task solutions. The accuracy of image clas...
PURPOSE: Sleep apnea syndrome (SAS) is a prevalent sleep disorder in which apnea and hypopnea occur ...
Rheumatoid arthritis (RA) is an autoimmune disorder that typically affects people between 23 and 60Â ...
Alzheimer's disease is the leading cause of dementia. The long progression period in Alzheimer's dis...
Disease gene identification is a critical step towards uncovering the molecular mechanisms of diseas...
This study aimed to identify the predictive capacity of wellness questionnaires on measures of train...
Many compounds affect the cellularity of hematolymphoid organs including bone marrow. Toxicologic pa...
Polycystic ovary syndrome (PCOS) is the main cause of anovulatory infertility and affects women thro...
This narrative "Year in Review" highlights a selection of articles published between January 2019 an...
PURPOSE: In people with obesity, food addiction (FA) tends to be associated with poorer outcomes. It...
We identified the prevalence of elevated high-sensitivity C-reactive protein and interleukin-6 in pa...