Latest AI and machine learning research in diabetes for healthcare professionals.
Autoimmune diseases are a group of disorders resulting from an alteration of immune tolerance, chara...
In this study, a flexible deep learning system for breath analysis is created using an optimal hybri...
The study evaluates Asprosin's value in diabetic postmenopausal women, examining its reliability as ...
[This retracts the article DOI: 10.1155/2022/2185547.].
PURPOSE: Diabetes is a major public health challenge with widespread prevalence, often leading to co...
BACKGROUND: The use of machine learning and deep learning techniques in the research on diabetes has...
PURPOSE OF THE STUDY: Assessing the lower extremity arterial stenosis scores (LEASS) in patients wit...
An Artificial Intelligence (AI)-enabled human-centered smart healthcare monitoring system can be use...
OBJECTIVES: The objective is to predict the development of retinopathy of prematurity (ROP) in disco...
INTRODUCTION: Type 1 diabetes (T1D) is a complex disorder influenced by genetic and environmental fa...
BACKGROUND: Vertical displacement of the residual limb within transtibial prosthetic socket, often k...
PURPOSE: We applied machine learning to study associations between regional body fat distribution an...
OBJECTIVES: Diabetes has become a leading cause of mortality in both developed and developing countr...
BACKGROUND/AIMS: Retinal capillary non-perfusion (NP) and neovascularisation (NV) are two of the mos...
BACKGROUND/AIMS: Fundus fluorescein angiography (FFA) is an important technique to evaluate diabetic...
INTRODUCTION: Diabetic retinopathy (DR) is the leading cause of preventable blindness in Saudi Arabi...
The discourse amongst diabetes specialists and academics regarding technology and artificial intelli...
We considered in this study the possibility of developing an indirect procedure for detecting myosta...
Glaucoma is a slowly progressing optic neuropathy that may eventually lead to blindness. To help pat...
OBJECTIVES: Dietary habits significantly affect health conditions and are closely related to the ons...
Writing notes is the most widespread method to report clinical events. Therefore, most of the inform...