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Recent strides in diabetes research have increasingly leveraged machine learning and deep learning techniques, marking a pivotal shift in understanding and managing this complex disease. A comprehensive bibliometric analysis from 2000 to 2022 has shed light on the evolving landscape of diabetes-related scientific literature, uncovering global trends and key insights

Recent research spanning from 1990 to 2023 has unveiled significant advancements in machine learning (ML) and artificial intelligence (AI) for predicting diabetic complications such as retinopathy (DR), kidney disease (DKD), and neuropathy (DN). Across 74 studies analyzed, a notable increase in global ML research emerged, particularly in DKD prediction. These

In the rapidly evolving landscape of medicine, the digital health revolution is spearheading transformative changes, particularly in diabetes care. A recent article in the Journal of Diabetes Science and Technology sheds light on groundbreaking innovations and technological advancements poised to revolutionize the management of this prevalent chronic disease. The article

Blindness, kidney failure, heart attacks, stroke and loss of lower limbs are the main dangerous complications of diabetes. Even in some cases, type 3 diabetes can cause the death of the patient, so that between 2000 and 2019, the death rate due to type 3 diabetes has increased by 3%.