Artificial intelligence (AI)-powered mealtime insulin dose-assisted decision-making system
- Conditions
- Type 2 diabetesNutritional, Metabolic, Endocrine
- Registration Number
- ISRCTN16784568
- Lead Sponsor
- Peking University People's Hospital
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Completed
- Sex
- All
- Target Recruitment
- 111
1. Type 2 diabetic subjects receiving intensive insulin therapy
2. Aged >= 18 years old
3. Poor blood sugar control, HbA1c>=8.0%
1. The subject is currently pregnant, intends to become pregnant, or is unwilling and unable to use contraception during the study (female only)
2. Abnormal mental state
3. Refuse to wear invasive examination equipment
4. There are clear reasons for not wearing dynamic glucose monitoring (severe allergies, skin diseases, etc.)
5. The subject has symptoms and signs such as skin lesions, scarring, redness, infection or edema at the sensor application site that will affect the sensor application or the accuracy of the interstitial fluid glucose measurement
6. Complicated serious diseases, including but not limited to heart disease, cerebrovascular disease, liver and kidney disease, severe diabetes-related complications
7. The subject has an appointment for X-ray, MRI or CT examination during the study period, and the appointment cannot be changed to before the start of the study or after the end of the study
8. Drugs that affect blood sugar such as glucocorticoids have been used within one month
9. Any other reasons judged by the investigator that would make the subject unsuitable to participate in the research
Study & Design
- Study Type
- Interventional
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method
- Secondary Outcome Measures
Name Time Method