Actively Recruiting
Therapeutic Efficacy and Safety Evaluation of AI in the Management of Diabetes: A RCT Trial
Led by The First Hospital of Jilin University · Updated on 2025-12-09
400
Participants Needed
1
Research Sites
76 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
Purpose: To evaluate the efficacy of artificial intelligence (AI)-based decision-making technology in managing glycated hemoglobin (HbA1c) and blood glucose levels compared to the control group. Methods: For the AI Intervention group, the patients will be trained to independently use the diabetes telemedicine platform application. Each patient will be equipped with a glucometer and exercise bracelet, and the data will be automatically transmitted to the medical server via Bluetooth. The healthcare platform will analyze the uploaded data and provide feedback suggestions on medication, diet, and exercise automatically. The platform will also monitor the medical and lifestyle data of the patients every two weeks, offer feedback based on the analyses, and remind the patient to adhere to the self-management protocol based on the platform. The platform is a digitally integrated healthcare platform that patients can use independently without the need for monitoring and assistance by healthcare professionals. The glucometer and pedometer bracelet will automatically connect to the platform through Bluetooth. The patient lab sheet identification and structured conversion system, AI for food picture identification and calorie calculation systems, and the AI decision-making system are on the cloud server. Patients upload image information, such as lab sheets and meal pictures, through the patient's diabetes mobile health system, and the cloud platform intelligently analyzes the patient's disease, medication, and daily life status to develop personalized solutions according to individual control goals. Free outpatient visits will be provided to both the intervention and control groups every twelve weeks. For the conventional treatment group, patients will receive a free blood glucometer and will have regular outpatient appointments. There is no limit to the number of outpatient visits; however, they are required to regularly monitor and record their blood glucose, diet, and exercise data to ensure that the medical team objectively conduct their diagnosis and treatment activities. The medical team will provide free outpatient visits every 12 weeks, along with advice on medication, diet, and exercise based on the individual's blood glucose level. Expected results: A significant difference in HbA1c change from baseline to 48 weeks and improved FPG and 2-hour postprandial blood glucose levels in the AI intervention group were observed.
CONDITIONS
Official Title
Therapeutic Efficacy and Safety Evaluation of AI in the Management of Diabetes: A RCT Trial
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Age 18 to 75 years
- Diagnosed with type 2 diabetes for at least 1 year
- HbA1c level between 7.0% and 11%
- Body mass index of 18.5 kg/m2 or higher
- Ability to use smartphones proficiently
- Willingness to use a digital integrated healthcare platform for diabetes care and research
- Provided informed consent to participate
You will not qualify if you...
- Having other types of diabetes such as type 1 or gestational diabetes
- Presence of severe diabetic complications
- History of chronic liver diseases including hemochromatosis, hepatocellular carcinoma, autoimmune liver disease, cirrhosis, viral hepatitis (A, B, or C), or hepatolenticular degeneration
- Kidney injury with serum creatinine 1.5 times above the reference limit
- Elevated serum ALT and AST levels more than twice the normal limit
- History of mental disorders such as schizophrenia, depression, or bipolar affective disorder
- Excessive alcohol intake or drug abuse within the past 3 months
- Use of medications affecting glucose metabolism (e.g., corticosteroids, immunosuppressive, or anti-obesity drugs) within the past 3 months
- Pregnancy, planning pregnancy, or breastfeeding
- Participation in other clinical trials or conditions making participation unsuitable
AI-Screening
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Trial Site Locations
Total: 1 location
1
The First Hospital of Jilin University
Changchun, Jilin, China, 130000
Actively Recruiting
Research Team
C
Chenglin Sun, Doctor
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
TREATMENT
Number of Arms
2
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