Effectiveness of Artificial-Intelligence (AI) Bolus Priming Added to an Existing Fully Automated Control Algorithm (AIDANET)
{ "Studying AI Bolus Priming with AIDANET for Type 1 Diabetes", "This study is looking at how well an artificial intelligence (AI) system, called AIDANET AI, helps manage blood sugar in people with Type 1 Diabetes. AIDANET AI learns your meal patterns to suggest insulin doses. You'll compare using AIDANET AI to a standard version of AIDANET and your current automated insulin delivery (AID) system. The main goal is to see if AIDANET AI helps you spend more time with your blood sugar in the target range (70-180 mg/dL). To join, you need to be at least 18 years old, have Type 1 Diabetes for at least a year, and currently use an AID system. The study status is unclear.", "design": "This is a randomized crossover study with 50 participants. You will try different insulin delivery systems for specific periods.", "commitments": "You will use your home Hybrid Closed Loop (HCL) system for 2 weeks, then AIDANET for 2 weeks, and AIDANET AI for 4 weeks, or in a different order. The total study duration for each participant is 8 weeks.", "compensation": "Not stated in the trial record.", "follow_up": "Your blood sugar control will be measured over 2-week periods during the study.", }
- Study design
- Not specified.
- What's involved
- Not specified in the trial record.
- Compensation
- Not stated in the trial record.
- Follow-up
- Not specified.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Effectiveness of Artificial-Intelligence (AI) Bolus Priming Added to an Existing Fully Automated Control Algorithm (AIDANET)
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Sue Brown, MD · PRINCIPAL_INVESTIGATOR · University of Virginia Center for Diabetes Technology
Who to contact
Opens a ready-to-send draft in your own email app — review before sending.
What this trial measures
- Time in Range (TIR) 70-180 mg/dL for 2-week free-living at home periods on AIDANET vs AIDANET AI.two weeks
The last two weeks of the 4-week AIDANET AI session will be used for analysis, comparing standard Ambulatory Glucose Profile metrics across AIDANET vs AIDANET AI, with primary outcome TIR (70-180 mg/dL) during the day.