AI Medical Compendium Journal:
Diabetes research and clinical practice

Showing 11 to 14 of 14 articles

Artificial Intelligence (AI) based machine learning models predict glucose variability and hypoglycaemia risk in patients with type 2 diabetes on a multiple drug regimen who fast during ramadan (The PROFAST - IT Ramadan study).

Diabetes research and clinical practice Aug 26, 2020
OBJECTIVE: To develop a machine-based algorithm from clinical and demographic data, physical activity and glucose variability to predict hyperglycaemic and hypoglycaemic excursions in patients with type 2 diabetes on multiple glucose lowering therapi...
Humans Artificial Intelligence Machine Learning Female Risk Factors Male Middle Aged Fasting Diabetes Mellitus, Type 2 Glucose Hypoglycemia Islam
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Patient-level meta-analysis of efficacy and hypoglycaemia in people with type 2 diabetes initiating insulin glargine 100U/mL or neutral protamine Hagedorn insulin analysed according to concomitant oral antidiabetes therapy.

Diabetes research and clinical practice Nov 9, 2016
AIMS: Evaluate efficacy and hypoglycaemia according to concomitant oral antidiabetes drug (OAD) in people with type 2 diabetes initiating insulin glargine 100U/mL (Gla-100) or neutral protamine Hagedorn (NPH) insulin once daily.
Humans Female Male Incidence Diabetes Mellitus, Type 2 Hypoglycemic Agents Treatment Outcome Randomized Controlled Trials as Topic Glycated Hemoglobin Insulin Glargine Hypoglycemia Administration, Oral Drug Therapy, Combination Weight Gain Clinical Trials, Phase III as Topic Clinical Trials, Phase IV as Topic Insulin, Isophane Sulfonylurea Compounds
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Lower prevalence of proliferative diabetic retinopathy in elderly onset patients with diabetes.

Diabetes research and clinical practice Sep 21, 2016
AIMS: To assess diabetic retinopathy (DR) prevalence between elderly onset and younger onset diabetes with similar diabetes duration and evaluate the association between DR prevalence and serum insulin-like growth factor 1 (IGF-1) levels.
Humans Diabetic Retinopathy Retrospective Studies Female Male Middle Aged Prevalence Insulin-Like Growth Factor I
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Recent trends in diabetes mellitus diagnosis: an in-depth review of artificial intelligence-based techniques.

Diabetes research and clinical practice Jun 1, 2025
Diabetes mellitus (DM) is a highly prevalent chronic condition with significant health and economic impacts; therefore, an accurate diagnosis is essential for the effective management and prevention of its complications. This review explores the late...
Humans Artificial Intelligence Machine Learning Deep Learning Diabetes Mellitus
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