AIMC Topic: Glycemic Control

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An artificial intelligence decision support system for the management of type 1 diabetes.

Nature metabolism Jun 1, 2020
Type 1 diabetes (T1D) is characterized by pancreatic beta cell dysfunction and insulin depletion. Over 40% of people with T1D manage their glucose through multiple injections of long-acting basal and short-acting bolus insulin, so-called multiple dai...
Computer Simulation Reproducibility of Results Adult Humans Artificial Intelligence Algorithms Hypoglycemic Agents Hypoglycemia Disease Management Glycemic Control Insulin Infusion Systems Decision Support Systems, Clinical Diabetes Mellitus, Type 1 Hyperglycemia Blood Glucose Insulin
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An Artificial Neural Network-based Predictive Model to Support Optimization of Inpatient Glycemic Control.

Diabetes technology & therapeutics Feb 6, 2020
Achieving glycemic control in critical care patients is of paramount importance, and has been linked to reductions in mortality, intensive care unit (ICU) length of stay, and morbidities such as infection. The myriad of illnesses and patient conditi...
Inpatients Blood Glucose Self-Monitoring Glycemic Control Diabetes Mellitus, Type 2 Hypoglycemic Agents Aged Male Middle Aged Blood Glucose Insulin Humans Neural Networks, Computer Female
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Predicting Quality of Overnight Glycaemic Control in Type 1 Diabetes Using Binary Classifiers.

IEEE journal of biomedical and health informatics Sep 13, 2019
In type 1 diabetes management, maintaining nocturnal blood glucose within target range can be challenging. Although semi-automatic systems to modulate insulin pump delivery, such as low-glucose insulin suspension and the artificial pancreas, are star...
Sleep Glycemic Control Adult Middle Aged Humans Blood Glucose Insulin Machine Learning Decision Support Systems, Clinical Algorithms Diabetes Mellitus, Type 1
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Simple Linear Support Vector Machine Classifier Can Distinguish Impaired Glucose Tolerance Versus Type 2 Diabetes Using a Reduced Set of CGM-Based Glycemic Variability Indices.

Journal of diabetes science and technology Mar 31, 2019
BACKGROUND: Many glycemic variability (GV) indices exist in the literature. In previous works, we demonstrated that a set of GV indices, extracted from continuous glucose monitoring (CGM) data, can distinguish between stages of diabetes progression. ...
Humans Predictive Value of Tests Data Interpretation, Statistical Diabetes Mellitus, Type 2 Aged Blood Glucose Self-Monitoring Glycemic Control Support Vector Machine Adult Diagnosis, Differential Datasets as Topic Health Status Indicators Male Glucose Intolerance Algorithms Middle Aged Female Blood Glucose Reproducibility of Results
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Real-Time AI-Assisted Insulin Titration System for Glucose Control in Patients With Type 2 Diabetes: A Randomized Clinical Trial.

JAMA network open May 1, 2025
IMPORTANCE: Type 2 diabetes (T2D) is one of the most prevalent chronic diseases in the world. Insulin titration for glycemic control in T2D is crucial but limited by the lack of personalized and real-time tools.
Glycated Hemoglobin Glycemic Control Hypoglycemic Agents Single-Blind Method Middle Aged Female Blood Glucose Humans Insulin Aged Artificial Intelligence Decision Support Systems, Clinical Male Diabetes Mellitus, Type 2
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Prediction of Poor Glycemic Control in Children with Type 1 Diabetes.

Studies in health technology and informatics Aug 22, 2024
This study developed and validated a machine learning model for predicting glycemic control in children with type 1 diabetes at the time of diagnosis, revealing age at diagnosis as the most informative predictor.
Female Male Adolescent Humans Machine Learning Diabetes Mellitus, Type 1 Blood Glucose Glycated Hemoglobin Child, Preschool Glycemic Control Child
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