Latest AI and machine learning research in diabetes for healthcare professionals.
Various factors influencing postoperative incisional infection in gynecologic tumors were analyzed, ...
AIMS: Gestational diabetes (GDM) is the most common metabolic disorder of pregnancy, requiring compl...
BACKGROUND: The aim of the present paper is to construct an emulator of a complex biological system ...
BACKGROUND: Among patients with type 2 diabetes, minority racial/ethnic groups have a higher burden ...
Obesity is one of the main drivers of type 2 diabetes, but it is not uniformly associated with the d...
BACKGROUND: Doctors can detect symptoms of diabetic retinopathy (DR) early by using retinal ophthalm...
INTRODUCTION: Type 1 diabetes mellitus (T1DM) is one of the most frequent autoimmune diseases in chi...
While the construction of a dependable force field for performing classical molecular dynamics (MD) ...
Developers proposing new machine learning for health (ML4H) tools often pledge to match or even surp...
IMPORTANCE: Diabetic retinopathy (DR) is a leading cause of blindness in adults worldwide. Early det...
PURPOSE: Retinopathy of prematurity (ROP) is a leading cause of childhood blindness related to oxyge...
Type 2 diabetes is a chronic, costly disease and is a serious global population health problem. Yet,...
The stage and duration of hypertension are connected to the occurrence of Hypertensive Retinopathy (...
INTRODUCTION: Oxidative stress is crucial in diabetic pathophysiology, hence the prerequisite of ing...
Data-driven characterization of symptom clusters in chronic conditions is essential for shared clust...
BACKGROUND: Medical experts in the domain of Diabetes Mellitus (DM) acquire specific knowledge from ...
PURPOSE: To evaluate the performance of a federated learning framework for deep neural network-based...
ETHNOPHARMACOLOGICAL RELEVANCE: Mulberry leaves have been used as traditional hypoglycemic medicine-...
PURPOSE: The purpose of this study is to develop and validate the intelligent diagnosis of severe DR...
The remarkable advancements in biotechnology and public healthcare infrastructures have led to a mom...
Identification of medical conditions using claims data is generally conducted with algorithms based ...