Endocrinology

Diabetes

Latest AI and machine learning research in diabetes for healthcare professionals.

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Automated pancreatic segmentation and fat fraction evaluation based on a self-supervised transfer learning network.

Accurate segmentation of the pancreas from abdominal computed tomography (CT) images is challenging ...

Artificial Intelligence and Machine Learning for Improving Glycemic Control in Diabetes: Best Practices, Pitfalls, and Opportunities.

OBJECTIVE: Artificial intelligence and machine learning are transforming many fields including medic...

Development and deployment of a nationwide predictive model for chronic kidney disease progression in diabetic patients.

AIM: Chronic kidney disease (CKD) is a major complication of diabetes and a significant disease burd...

Pain-free oral delivery of biologic drugs using intestinal peristalsis-actuated microneedle robots.

Biologic drugs hold immense promise for medical treatments, but their oral delivery remains a daunti...

A personalized prediction model for urinary tract infections in type 2 diabetes mellitus using machine learning.

Patients with type 2 diabetes mellitus (T2DM) are at higher risk for urinary tract infections (UTIs)...

A deep learning system for predicting time to progression of diabetic retinopathy.

Diabetic retinopathy (DR) is the leading cause of preventable blindness worldwide. The risk of DR pr...

Association between neutrophil-to-lymphocyte ratio and diabetic kidney disease in type 2 diabetes mellitus patients: a cross-sectional study.

AIMS: This investigation examined the possibility of a relationship between neutrophil-to-lymphocyte...

A machine learning model to predict therapeutic inertia in type 2 diabetes using electronic health record data.

OBJECTIVE: To estimate the therapeutic inertia prevalence for patients with type 2 diabetes, develop...

Intravitreal injection of methotrexate in persistent diabetic macular edema: a 6-month study.

BACKGROUND: Diabetic macular edema (DME) affects approximately 10% of patients with diabetes mellitu...

Artificial intelligence model for early detection of diabetes.

Introduction. Diabetes is a chronic disease characterized by a high blood glucose level. It can lead...

Contrast-Induced Nephropathy in Interventional Cardiology: Incidence, Risk Factors, and Identification of High-Risk Patients.

AIM: This study aimed to study contrast-induced nephropathy (CIN) or more recent nomenclature contra...

The Effect of Acute Hyperglycaemia Induced by Oral Glucose Load on Heart Rate Variability and Skin Microvascular Reactivity in Young Adults.

We aimed to elucidate the effects of acute hyperglycaemia, induced by an oral glucose tolerance test...

A Robust Machine Learning Model for Diabetic Retinopathy Classification.

Ensemble learning is a process that belongs to the artificial intelligence (AI) field. It helps to c...

The Utility of ChatGPT in Diabetic Retinopathy Risk Assessment: A Comparative Study with Clinical Diagnosis.

PURPOSE: To evaluate the ability of an artificial intelligence (AI) model, ChatGPT, in predicting th...

-glucosidase and -amylase inhibitory activity of flavonols from (Burm.f.) Bedd.

(Burm.f.) Bedd., a fern species native to India, Southeast Asia, Polynesia, and Australia, has a lo...

The Management of Diabetes with Hyperuricemia: Can We Hit Two Birds with One Stone?

Serum urate (SU) is an independent predictor for the incidence of diabetes. In current diabetes trea...

Machine Learning Insights Into Uric Acid Elevation With Thiazide Therapy Commencement and Intensification.

Background Elevated serum uric acid, associated with cardiovascular conditions such as atherosclerot...

MASP-2 deficiency does not prevent the progression of diabetic kidney disease in a mouse model of type 1 diabetes.

Mannan-binding lectin (MBL) initiates the lectin pathway of complement and has been linked to albumi...

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