Latest AI and machine learning research in diabetes for healthcare professionals.
INTRODUCTION: Diabetic nephropathy (DN) is a common diabetes-related complication with unclear under...
BACKGROUND: Diabetes is prevalent in older adults, and machine learning algorithms could help predic...
OBJECTIVE: It can be challenging to determine the correct dosage of recombinant growth hormone (GH) ...
AIMS: This study aimed to identify key factors with the greatest influence on glycaemic outcomes in ...
Managing diabetes in patients on peritoneal dialysis (PD) is challenging due to the combined effects...
Cardio Vascular Disease (CVD) is one of the leading causes of mortality and it is estimated that 1 i...
PURPOSE: To develop nonimaging machine learning models using clinical data from the first screening ...
BACKGROUND: Machine learning (ML) models can help assisting diagnosis by rapidly localising and clas...
BACKGROUND AND OBJECTIVE: Diabetic Retinopathy (DR) is a serious diabetes complication that can caus...
Data scarcity in medical images makes transfer learning a common approach in computer-aided diagnosi...
BACKGROUND AND OBJECTIVES: Hypertensive Retinopathy (HR) is a retinal manifestation resulting from p...
To decrease the number of chronic kidney disease (CKD), early diagnosis of diabetic kidney disease i...
This study sought to establish and validate an interpretable CT radiomics-based machine learning mod...
OBJECTIVE: The artificial pancreas (AP) shows promise for closed-loop glucose control in type 1 diab...
Cows with high body condition scores experience more severe negative energy balance (NEB) and underg...
The Diabetic Foot Ulcer (DFU) is a severe complication that affects approximately 33% of diabetes pa...
BACKGROUND: Type 2 Diabetes Mellitus (T2DM) represents a major global health challenge, marked by ch...
BACKGROUND: Programmed cell death plays an important role in neuronal injury and death after ischemi...
BACKGROUND: The pathophysiology of obstructive sleep apnea (OSA) and diabetes mellitus (DM) is still...
BACKGROUND: This systematic review aims to explore the early predictive value of machine learning (M...
BACKGROUND: Depression and cognitive impairments are prevalent among older adults, with evidence sug...