Latest AI and machine learning research in primary care for healthcare professionals.
In this paper, we propose a deep-learning-based algorithm for screening neurological diseases. We proposed various examination protocols for screening neurological diseases and collected data by video-recording persons performing these protocols. We converted video data into human landmarks that capture action information with a much smaller data dimension. We also used voice data which are also e...
A non-invasive optical technique known as photoplethysmography (PPG) can be used to provide various physiological measurements and estimations. PPG can be used to assess cardiovascular disease (CVD). Hypertension is a primary risk factor for CVD and a major health problem worldwide. PPG is popular because of its important applications in the evaluation of cardiac activity, variations in venous blo...
PURPOSE: We applied machine learning to study associations between regional body fat distribution and diabetes mellitus in a population of community a...
Hypertension is one of the most common chronic diseases, and its prevalence is increasing worldwide. (Siebold & Zucc.) Blume, known as grayblue spice...
Millions of people's health is at risk because of several factors and multiple overlapping crises, all of which hit the vulnerable the most. These cha...
Coral reef atherosclerosis of the paravisceral aorta is a rare disease whose description is confined to before contemporary vascular surgical techniqu...
In an era characterized by the convergence of cutting-edge technologies, the world of healthcare and public health is on the brink of a profound trans...
OBJECTIVES: Diabetes has become a leading cause of mortality in both developed and developing countries, impacting a growing number of individuals wor...
BACKGROUND: Excess body weight is a risk factor for the progression of chronic kidney disease (CKD), but weight loss in CKD has been associated with h...
INTRODUCTION: Diabetic retinopathy (DR) is the leading cause of preventable blindness in Saudi Arabia. With a prevalence of up to 40% of patients with...
Artificial Intelligence (AI) has found rapidly growing applications in ophthalmology, achieving robust recognition and classification in most kind of ...
The discourse amongst diabetes specialists and academics regarding technology and artificial intelligence (AI) typically centres around the 10% of peo...
It is well established that the retina provides insights beyond the eye. Through observation of retinal microvascular changes, studies have shown that...
The advent of artificial intelligence (AI) in clinical pharmacology and drug development is akin to the dawning of a new era. Previously dismissed as ...
AlphaFold2 (ref. ) has revolutionized structural biology by accurately predicting single structures of proteins. However, a protein's biological funct...
Coronary artery disease (CAD) remains a significant global health concern with considerable high morbidity and mortality and its development is influe...
OBJECTIVES: Dietary habits significantly affect health conditions and are closely related to the onset and progression of non-communicable diseases (N...
Asthma, an increasingly prevalent chronic respiratory condition, incurs significant economic costs worldwide. Artificial Intelligence (AI), particular...
: Orthodontics is a field that has seen significant advancements in recent years, with technology playing a crucial role in improving diagnosis and tr...
The complex relationships between continuously monitored health signals and therapeutic regimens can be modelled via machine learning. However, the cl...