Latest AI and machine learning research in primary care for healthcare professionals.
Diabetes is a major global health challenge, with many individuals remaining undiagnosed due to the ...
AIMS: Early aortic stenosis (AS) detection remains challenging, with many patients presenting late w...
BACKGROUND: Early identification of individuals at elevated cardiovascular risk using routine health...
BACKGROUND: Fontan-associated liver disease (FALD) is associated with morbidity and mortality in pat...
BACKGROUND: Mobile health (mHealth), leveraging mobile devices for health measurement and promotion,...
Adolescent spinal postural deviations are rising across Southeast Asia, driven by prolonged screen e...
Metabolic dysfunction-associated fatty liver disease (MAFLD) is a highly prevalent liver condition c...
BACKGROUND: Recurrent ischemic stroke (RIS) is a significant challenge in Malaysia, affecting approx...
AIM: To develop and evaluate an autonomous artificial intelligence (AI) agent to support nurse-led d...
Diabetes is one of the global health challenges and requires early detection and an accurate diagnos...
Screening of small-molecule drugs to suppress both protein aggregation and reactive oxygen species (...
BACKGROUND: Existing methods for estimating GFR in people with diabetes have shown inaccuracies when...
IMPORTANCE: Ethical and bioethical issues are central to the identity and practice of physical thera...
BACKGROUND: Mild cognitive impairment and early dementia (MCI-ED) are frequently unrecognized in rou...
Overweight/obesity has become a critical global health issue, as these conditions are strongly assoc...
BACKGROUND: Severe hypoglycemia (SH) in adults with type 1 diabetes mellitus (T1DM) is associated wi...
Diabetes is a leading cause of morbidity and mortality, contributing to complications such as cardio...
BACKGROUND: Acupuncture, a key modality in traditional Chinese medicine, is gaining global recogniti...
OBJECTIVE: To support ambulatory care innovation, we created Observer, a multimodal dataset comprisi...
BACKGROUND AND AIMS: Early detection of individuals with metabolic dysfunction-associated steatotic ...
BACKGROUND: This review critically evaluates the applications of artificial intelligence in nutrigen...