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Clinical Trial

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

NCT: NCT07517770 · NOT_YET_RECRUITING

NCT IDNCT07517770
StatusNOT_YET_RECRUITING
Start Date2026-05-01
Completion2027-04-30

Brief Summary

Bolus Priming (BP) based on Artificial Intelligence (AI) learning of meal patterns, added to our established Automated insulin delivery as Adaptive Network (AIDANET) algorithm and running on iPhone Diabetes Assistant (iDiAs) phone wirelessly connected to Tandem Mobi insulin pump and Dexcom Continuous Glucose Monitor (CGM).

Frequently Asked Questions

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

Effectiveness of Artificial-Intelligence (AI) Bolus Priming Added to an Existing Fully Automated Control Algorithm (AIDANET) is a clinical trial registered under NCT07517770. Current status: NOT_YET_RECRUITING.

What is the status of NCT07517770?

The current status of NCT07517770 (Effectiveness of Artificial-Intelligence (AI) Bolus Priming Added to an Existing Fully Automated Control Algorithm (AIDANET)) is: NOT_YET_RECRUITING.

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

Effectiveness of Artificial-Intelligence (AI) Bolus Priming Added to an Existing Fully Automated Control Algorithm (AIDANET) started on 2026-05-01.

Official Source

View on ClinicalTrials.gov →

Data sourced from ClinicalTrials.gov API. For the most current status, refer to the official record.

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