Latest AI and machine learning research in diabetes for healthcare professionals.
In response to the growing number of diabetes cases worldwide, Our study addresses the escalating is...
Heart failure (HF) is a prevalent and debilitating condition that imposes a significant burden on h...
OBJECTIVE: The objective of this study was to develop artificial intelligence-based deep learning mo...
Type 2 diabetes (T2D) presents a formidable global health challenge, highlighted by its escalating p...
BACKGROUND: Prediabetes is a highly prevalent condition that heralds an increased risk of progressio...
Diabetes is a persistent metabolic disorder linked to elevated levels of blood glucose, commonly ref...
PURPOSE: Diabetic retinopathy (DR) is a leading cause of preventable blindness, particularly in unde...
BACKGROUND: Breastfeeding resets insulin resistance caused by pregnancy however, studies on the asso...
Metabolomics, with its wealth of data, offers a valuable avenue for enhancing predictions and decisi...
BACKGROUND: Diabetic retinopathy (DR) is a common complication of diabetes and may lead to irreversi...
Digital twin technology is emerging as a transformative paradigm for personalized medicine in the ma...
Diabetic nephropathy is a serious complication of diabetes, and primary Sjögren's syndrome is a dise...
BACKGROUND/OBJECTIVES: Artificial intelligence can assist with ocular image analysis for screening a...
KEY POINTS: A dynamic model predicts IgA nephropathy prognosis based on deep learning. Longitudinal ...
BACKGROUND: Proliferative diabetic retinopathy (PDR), a major cause of blindness, is characterized b...
BACKGROUND: Sepsis is a severe form of systemic inflammatory response syndrome that is caused by inf...
Diabetes Mellitus is one of the oldest diseases known to humankind, dating back to ancient Egypt. Th...
BACKGROUND: Hemoglobin (Hb) is an important protein in red blood cells and a crucial diagnostic indi...
To assess the feasibility of code-free deep learning (CFDL) platforms in the prediction of binary ou...
Self-supervised Learning (SSL) has been widely applied to learn image representations through exploi...
BACKGROUND: Type 2 Diabetes Mellitus (T2DM) presents a significant healthcare challenge, with consid...