Latest AI and machine learning research in primary care for healthcare professionals.
PURPOSE: To develop a highly efficient and fully automated method that measures retinal vessel calib...
PURPOSE: The previous studies that examined the effectiveness of unsupervised machine learning metho...
During an artificial intelligence (AI)-assisted diabetic retinopathy screening event, we performed a...
Despite medical and technological advancements, foot amputations continue to rise. Thus, the effort ...
Deep learning is a machine learning technique to model high-level abstractions in data by utilizing ...
OBJECTIVE: This research seeks to shed light on the associations between brain perfusion, cognitive ...
Diabetic nephropathy (DN) is one of the most feared complications of diabetes and key cause of end-s...
Real-world registries have been critical to building the scientific knowledge of rare diseases, incl...
This study proposed a novel technique for early diabetes prediction with high accuracy. Recently, De...
: Our research group developed a robot-assisted diabetes self-management monitoring system to suppor...
The type 1 diabetes community is coalescing around the benefits and advantages of early screening fo...
Parkinson's disease is the world's fastest-growing neurological disorder. Research to elucidate the ...
INTRODUCTION: The importance of preventive medicine and primary care in the sphere of public health ...
Endothelial dysfunction in patients with diabetic nephropathy is caused by nontraditional factors in...
Integrated personalized diabetes management (IPDM) has emerged as a promising approach to improving ...
Accurate assessments of epidemiological associations between health outcomes and routinely observed ...
Personalized diagnosis prediction based on electronic health records (EHR) of patients is a promisin...
The surgical robot is assumed to be a fixed, indirect cost. We hypothesized rising volume of robotic...
 We aimed to determine the incidence and risk factors for development of diabetes insipidus (DI) an...
OBJECTIVE: This study aimed to evaluate the utility of C-peptide levels in the differentiation of mo...
It is increasingly clear that longitudinal risk factor levels and trajectories are related to risk f...