Artificial Intelligence to Diagnose Complications of Diabetes

AT Ayers, CN Ho, D Kerr, SL Cichosz… - Journal of Diabetes …, 2025 - journals.sagepub.com
Artificial intelligence (AI) is increasingly being used to diagnose complications of diabetes.
Artificial intelligence is technology that enables computers and machines to simulate human …

Assessing hypoglycemia risk during hemodialysis using an explainable machine learning approach based on continuous glucose monitoring metrics

A Piersanti, M Morettini, S Cristino… - … Signal Processing and …, 2025 - Elsevier
Continuous glucose monitoring (CGM) can identify hypoglycemia in hemodialysis (HD)
patients, who are at risk for this event. On the other hand, machine learning has remarkable …

Generative adversarial network-based data augmentation for improving hypoglycemia prediction: A proof-of-concept study

W Seo, N Kim, SW Park, SM Jin, SM Park - Biomedical Signal Processing …, 2024 - Elsevier
Background and objective Hypoglycemia is one of the major barriers for intensive insulin
treatment to achieve optimal glycemic control for people with diabetes. Accurate prediction …

Continuous Glucose Monitoring: A Transformative Approach to the Detection of Prediabetes

X Liu, J Zhang - Journal of Multidisciplinary Healthcare, 2024 - Taylor & Francis
Prediabetes, as an intermediary stage between normal glucose homeostasis and overt
diabetes, affects an estimated 720 million individuals worldwide, highlighting the urgent …

Mechanistic and Data-Driven Models for Predicting Glucose Levels during Gestation

N Fera, A Procopio, A Cutruzzolà… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Gestational diabetes mellitus (GDM) is a prevalent health issue among pregnant women,
associated with elevated risks and complications for both maternal and fetal health. Effective …