Diabetes
Conditions
Interventions
Experimental group:Leveraging AI for individualized glycemic forecasting
intelligent suggestion of therapeutic regimens
and proactive alerting for the risk of glycemic dysregulation
Control group:Personalized blood glucose prediction, recommendation of glucose-lowering regimens, and early warning for glycemic variability risk are performed by attending physicians or higher-level
Sponsors
The First Affiliated Hospital of Bengbu Medical College
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: 1. Diabetes diagnosis meets the "WHO Diagnostic Criteria for Diabetes" (1999 revision) or the "Chinese Guidelines for the Prevention and Treatment of Type 2 Diabetes (2020 edition)"; 2. Age between 18 and 80 years, regardless of gender; 3. Able to understand the study content and sign the informed consent form.
Exclusion criteria
Exclusion criteria: 1. During pregnancy or breastfeeding; 2. Individuals with severe mental illness or those unable to cooperate; 3. Participants deemed unsuitable by the clinician.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Incidence of hypoglycemia; | — |
Secondary
| Measure | Time frame |
|---|---|
| TIR(Time in Range);Mean Glucose;Glycemic Variability Indicators;Total Insulin Dose;System Prediction Accuracy (Experimental Group); | — |
Countries
China
Contacts
Public ContactGuoxi Jin
The First Affiliated Hospital of Bengbu Medical College
Outcome results
None listed