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

> **NCT07517770** · NA · NOT_YET_RECRUITING · sponsor: **Sue Brown** · enrollment: 50 (estimated)

## Conditions studied

- Type 1 Diabetes Mellitis

## Interventions

- **DEVICE:** Hybrid Closed Loop (HCL) x 2 weeks
- **DEVICE:** AIDANET x 2 weeks
- **DEVICE:** AIDANET AI x 4 weeks

## Key facts

- **NCT ID:** NCT07517770
- **Lead sponsor:** Sue Brown
- **Sponsor class:** OTHER
- **Phase:** NA
- **Study type:** INTERVENTIONAL
- **Status:** NOT_YET_RECRUITING
- **Start date:** 2026-05-01
- **Primary completion:** 2027-04-30
- **Final completion:** 2027-04-30
- **Target enrollment:** 50 (ESTIMATED)
- **Last updated:** 2026-04-08

## Collaborators

- [object Object]
- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT07517770

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT07517770, "Effectiveness of Artificial-Intelligence (AI) Bolus Priming Added to an Existing Fully Automated Control Algorithm (AIDANET)". Retrieved via AI Analytics 2026-06-02 from https://api.ai-analytics.org/clinical/NCT07517770. Licensed CC0.

---

*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*