Latest AI and machine learning research in primary care for healthcare professionals.
Few studies have been conducted to classify and predict the influence of nutritional intake on overw...
As many as 40% to 50% of patients do not adhere to long-term medications for managing chronic condit...
Cancer patients have a higher risk of cardiovascular disease (CVD) mortality than the general popula...
BACKGROUND: COVID-19 is one of the greatest threats to human beings in terms of health care, economy...
Background Accurate estimation of the malignancy risk of pulmonary nodules at chest CT is crucial fo...
Large amounts of text-based data, like study abstracts, often go unanalyzed because the task is labo...
Over the past fifty years, neonatal screening has become essential in the public health programs of ...
HL7 Fast Healthcare Interoperability Resources (FHIR) is one of the current data standards for enabl...
Glioma is the most common primary intraparenchymal tumor of the brain and the 5-year survival rate o...
No comprehensive review of Bayesian networks (BNs) in healthcare has been published in the past, mak...
Accurate segmentation and partitioning of lesions in PET images provide computer-aided procedures an...
BACKGROUND AND AIM: Endoscopic screening for early detection of upper gastrointestinal (UGI) lesions...
Hyperlipidemia causes diseases like cardiovascular disease, cancer, Type II Diabetes and Alzheimer's...
Self-tracking can help personalize self-management interventions for chronic conditions like type 2 ...
Early prediction of patient outcomes is important for targeting preventive care. This protocol descr...
Background The workflow of breast cancer screening programs could be improved given the high workloa...
INTRODUCTION: Recent studies have reported that HbA1c and lipid variability is useful for risk strat...
Recently, many researchers have designed various automated diagnosis models using various supervised...
IMPORTANCE: Systems-level barriers to diabetes care could be improved with population health plannin...
The use of humanoid robots as assistants in therapy processes is not new. Several projects in the pa...
Our study investigated the feasibility and clinical relevance of brain age prediction using axial T2...