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.

NCT07517770

Effectiveness of Artificial-Intelligence (AI) Bolus Priming Added to an Existing Fully Automated Control Algorithm (AIDANET)

Not Yet Recruiting
NAAges 18+InterventionalTreatment
Sue Brown
~50 participants
Updated 2026-04-08 on ClinicalTrials.gov
What's tested:Hybrid Closed Loop (HCL) x 2 weeksAIDANET x 2 weeksAIDANET AI x 4 weeks

At a glance

Recruiting sites
0 of 1 listed site is recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Time in Range (TIR) 70-180 mg/dL for 2-week free-living at home periods on AIDANET vs AIDANET AI.
Measured over two weeks
Type 1 Diabetes Mellitis
1 sites across 1 states
Virginia1
  • Sue Brown, MD · PRINCIPAL_INVESTIGATOR · University of Virginia Center for Diabetes Technology

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  • 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.