Diabetes

Binary fire hawks optimizer with deep learning driven non-invasive diabetes detection and classification.

Non-invasive diabetes detection refers to the utilization and development of technologies and method...

Personalized prediction of diabetic foot ulcer recurrence in elderly individuals using machine learning paradigms.

BACKGROUND: This study utilizes machine learning to analyze the recurrence risk of diabetic foot ulc...

Artificial intelligence in diabetic retinopathy screening: from idea to a medical device in clinical practice.

With the growing significance of artificial intelligence in healthcare, new perspectives are emergin...

Multi-dimensional dense attention network for pixel-wise segmentation of optic disc in colour fundus images.

BACKGROUND: Segmentation of retinal fragments like blood vessels, Optic Disc (OD), and Optic Cup (OC...

[CLINICAL EVALUATION OF THERAPEUTIC EFFECT PREDICTORS IN PEMBROLIZUMAB FOR ADVANCED UROTHELIAL CANCER].

(Purpose) We performed a clinical retrospective study on the evaluation of pembrolizumab treatment r...

Risk Stratification for Diabetic Retinopathy Screening Order Using Deep Learning: A Multicenter Prospective Study.

PURPOSE: Real-world evaluation of a deep learning model that prioritizes patients based on risk of p...

Association of Vitamin D with Risk Factors for Coronary Artery Disease.

Vitamin D safeguards cardiovascular health by reducing inflammation and susceptibility to atheroma. ...

Association between serum Galectin-3 and periodontitis in patients with type 2 diabetes mellitus.

OBJECTIVES: This study aims to investigate the correlation between serum Galectin-3 levels and the r...

Skin Changes in Suspected Lyme Disease.

Dear Editor, Ticks carry many diseases, bacteria, and viruses and represent a very important healthc...

Identify gestational diabetes mellitus by deep learning model from cell-free DNA at the early gestation stage.

Gestational diabetes mellitus (GDM) is a common complication of pregnancy, which has significant adv...

Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes.

OBJECTIVE: To develop a deep learning algorithm (DLA) to detect diabetic kideny disease (DKD) from r...

Deep learning-based analysis of infrared fundus photography for automated diagnosis of diabetic retinopathy with cataracts.

PURPOSE: To develop deep learning-based networks for the diagnosis of diabetic retinopathy (DR) with...

SynthA1c: Towards Clinically Interpretable Patient Representations for Diabetes Risk Stratification.

Early diagnosis of Type 2 Diabetes Mellitus (T2DM) is crucial to enable timely therapeutic intervent...

Plasma insulin-like growth factor-II (IGF-II) and IGF-II/IGF-I ratio in a chilean case of Doege-Potter Syndrome.

INTRODUCTION: Doege-Potter syndrome is a rare clinical entity characterized by recurrent hypoglycemi...

Efficacy of deep learning-based artificial intelligence models in screening and referring patients with diabetic retinopathy and glaucoma.

PURPOSE: To analyze the efficacy of a deep learning (DL)-based artificial intelligence (AI)-based al...

Fairness and generalisability in deep learning of retinopathy of prematurity screening algorithms: a literature review.

BACKGROUND: Retinopathy of prematurity (ROP) is a vasoproliferative disease responsible for more tha...

Deep Learning Algorithm Detects Presence of Disorganization of Retinal Inner Layers (DRIL)-An Early Imaging Biomarker in Diabetic Retinopathy.

PURPOSE: To develop and train a deep learning-based algorithm for detecting disorganization of retin...

Risk assessment of diabetic retinopathy with machine and deep learning models with PPG signals and PWV.

Retinopathy is one of the most common micro vascular impairments in diabetic subjects. Elevated bloo...

Deep learning automation of MEST-C classification in IgA nephropathy.

BACKGROUND: Although the MEST-C classification is among the best prognostic tools in immunoglobulin ...

Predicting Long-Term Type 2 Diabetes with Artificial Intelligence (AI): A Scoping Review.

Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder that affects a significant portion o...

Deep learning-based multi-omics study reveals the polymolecular phenotypic of diabetic kidney disease.