Latest AI and machine learning research in diabetes for healthcare professionals.
World health organization (WHO) reports around 2.2 billion people in the world as visually challenge...
Automatic segmentation and measurement of the choroid layer is useful in studying of related fundus ...
Diabetic retinopathy (DR) is a serious disease that may cause vision loss unawares without any alarm...
PURPOSE: Artificial intelligence (AI) can detect diabetic macular edema (DME) from optical coherence...
Increasing evidence shows that hypothalamic dysfunction, insulin resistance, and weight loss precede...
Non-alcoholic fatty liver disease (NAFLD) and cardiometabolic disorders are highly prevalent in obes...
Personalized modeling has long been anticipated to approach precise noninvasive blood glucose measur...
With non-invasive and high-resolution properties, optical coherence tomography (OCT) has been widely...
An active research area where the experts from the medical field are trying to envisage the problem ...
PURPOSE: This study assessed robot-enhanced healthcare in practical settings for the purpose of comm...
Continuous noninvasive blood glucose monitoring and estimation management by using photoplethysmogra...
Background CT biomarkers both inside and outside the pancreas can potentially be used to diagnose ty...
BACKGROUND: Major chronic diseases such as cardiovascular disease (CVD), diabetes, and cancer impose...
Retinal fundus photographs can be used to detect a range of retinal conditions. Here we show that de...
Epidemiology studies have indicated that environmental cadmium exposure, even at low levels, will re...
In this study, convolutional neural network based on Gramian angular field (GAF-CNN) was firstly pro...
This study was aimed at exploring the diagnostic value of high-frequency ultrasound imaging based on...
In the current study, 40 albino male rats were investigated to evaluate the impact of Nano-curcumin ...
BACKGROUND: There are many models for predicting diabetes mellitus (DM), but their clinical implicat...
This study was aimed at exploring the effect of ultrasound image evaluation of comprehensive nursing...
AIMS: To investigate the applicability of deep learning image assessment software VeriSee DR to diff...