Latest AI and machine learning research in primary care for healthcare professionals.
Organoids are carrying the promise of modeling complex disease phenotypes and serving as a powerful ...
This paper presents an integrated and scalable precision health service for health promotion and chr...
Diabetes mellitus is the main cause of diabetic retinopathy, the most common cause of blindness worl...
Deep learning models deliver a fast diagnosis during triage prescreening for COVID-19 patients, redu...
Treatment and prevention of elevated intracranial pressure (ICP) is crucial in patients with severe ...
PURPOSE: Many high-risk osteopenia and osteoporosis patients remain undiagnosed. We proposed to cons...
We aimed to identify the glucose metabolism statuses of nondiabetic Japanese adults using a machine ...
CT-based body composition (BC) measurements have historically been too resource intensive to analyz...
PURPOSE: Retinal vessels reflect alterations related to hypertension and arteriosclerosis in the phy...
Systematic literature review (SLR) is a crucial method for clinicians and policymakers to make their...
The integration of the Internet of Things with machine learning in different disciplines has benefit...
Early detection of oral cancer in low-resource settings necessitates a Point-of-Care screening tool ...
Extracting features of retinal vessels from fundus images plays an essential role in computer-aided ...
Primary open-angle glaucoma (POAG) is a leading cause of irreversible blindness worldwide. Although ...
This research aimed to investigate the diagnostic effect of computed tomography (CT) images based on...
In this study, a novel approach is proposed for glucose regulation in type-I diabetes patients. Unli...
Combination pharmacotherapy targets key disease pathways in a synergistic or additive manner and has...
Prediabetes and diabetes are becoming alarmingly prevalent among adolescents over the past decade. H...
AIM: We aimed to investigate the combined impact of liver enzymes and alcohol consumption on the dia...
Sodium-glucose cotransporter 2 (SGLT2), also known as solute carrier family 5 member 2 (SLC5A2), is...
The deep learning methods for various disease prediction tasks have become very effective and even s...