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Artificial Intelligence-assisted Insulin System in Type 2 Diabetes in General Wards
Sponsor: Shanghai Zhongshan Hospital
Summary
Our study was a single-blind, randomised, controlled, multicentre study. The study was planned to enrol 142 patients with T2DM admitted to general wards who required subcutaneous insulin therapy. Participants were randomly divided into two groups in the ratio of 1:1, one group with an artificial intelligence-assisted insulin decision system to adjust insulin doses for blood glucose control, and the other group received clinician-instituted insulin dose adjustments for blood glucose control. The effectiveness and safety of the system was confirmed by comparing the glycaemic control and risk of adverse events between the two groups.
Official title: Efficacy and Safety of the Artificial Intelligence-assisted Insulin Dose Adjustment System for Glycaemic Control in Patients With Type 2 Diabetes Mellitus in General Wards: a Multicentre, Single-blind, Randomised Controlled Study
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
144
Start Date
2024-04-19
Completion Date
2025-09-20
Last Updated
2026-06-23
Healthy Volunteers
No
Conditions
Interventions
AI-assisted insulin dose adjustment model
We use an artificial intelligence-assisted insulin dose adjustment system to adjust insulin doses in hospitalised patients
doctor's insulin dose adjustment
participants' insulin doses are adjusted by doctors
Locations (1)
Zhongshan Hospital, Fudan University
Shanghai, Shanghai Municipality, China