Latest AI and machine learning research in diabetes for healthcare professionals.
PURPOSE: Saliency maps (SM) allow clinicians to better understand the opaque decision-making process...
Retinal images play a pivotal contribution to the diagnosis of various ocular conditions by ophthalm...
INTRODUCTION: In 2021, the International Diabetes Federation reported that 537 million people worldw...
BACKGROUND: Diabetic peripheral neuropathy (DPN) and lower extremity arterial disease (LEAD) are sig...
Primary diabetes care and diabetic retinopathy (DR) screening persist as major public health challen...
The purpose of the study was to detect Hard Exudates (HE) and classify Disorganization of Retinal In...
Diabetes mellitus is a chronic disease the microvascular complications of which include diabetic ret...
BACKGROUND: There is increasing evidence that myosteatosis, which is currently not assessed in clini...
AIMS: This study aimed to identify and categorize the determinants influencing the intensification o...
AIM: To develop 10-year cardiovascular disease (CVD) risk prediction models in Chinese patients with...
Diabetes stands as one of the most prevalent chronic diseases globally. The conventional methods for...
Artificial intelligence (AI) technology has the potential to improve diabetes education for older in...
AIM: Periodic screening for diabetic retinopathy (DR) is effective for preventing blindness. Artific...
INTRODUCTION: Globally, diabetes mellitus poses a significant health challenge as well as the associ...
Non-invasive detection of tumors is of utmost importance to save lives. Nonetheless, identifying tum...
BACKGROUND: Diabetic kidney disease (DKD) is a diabetic microvascular complication often characteriz...
The prevalence of vision impairment is increasing at an alarming rate. The goal of the study was to ...
OBJECTIVE: In response to the nuanced glycemic challenges faced by women with iron deficiency anemia...
Understanding the combined effects of risk factors on all-cause mortality is crucial for implementin...
OBJECTIVE: The paper aims to address the problem of massive unlabeled patients in electronic health ...
Improvements in the homeostasis model assessment of insulin resistance (HOMA-IR) and homeostasis mod...