RecruitingNot ApplicableNCT07732777

AI-Assisted Remote Insulin Pump Optimization in T1DM

Evaluating AI-Assisted Remote Optimization of Insulin Pump Settings in Type 1 Diabetes Using CGM


Sponsor

The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School

Enrollment

50 participants

Start Date

Jan 28, 2026

Study Type

INTERVENTIONAL

Conditions

Summary

This study evaluates an AI-assisted remote parameter optimization tool for individuals with type 1 diabetes (T1D) using insulin pump and continuous glucose monitoring (CGM). The Artificial Intelligence (AI) algorithm analyzes regularly CGM and insulin data to generate personalized recommendations for adjusting pump settings. All algorithm-generated recommendations are reviewed and approved by physicians before being transmitted to the participant's mobile application for implementation.


Eligibility

Min Age: 14 YearsMax Age: 65 Years

Plain Language Summary

Simplified for easier understanding

This clinical trial is studying a medical device called AI-Assisted Insulin Pump Settings Optimization System and a medical device called Conventional Insulin Pump Therapy for people with type 1 diabetes (t1d) and type 1 diabetes mellitus. The study is currently recruiting participants at 1 location. People eligible for this study include aged 14 Years to 65 Years.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

DEVICEAI-Assisted Insulin Pump Settings Optimization System

A cloud-based software system that analyzes continuous glucose monitoring and insulin pump data to generate recommendations for optimizing insulin pump settings. All recommendations are reviewed and approved by a physician prior to implementation.

DEVICEConventional Insulin Pump Therapy

Sensor-augmented insulin pump therapy using continuous glucose monitoring with dose adjustments made by the participant and/or physician per standard clinical practice, without AI-assisted algorithmic recommendations.


Locations(1)

Department of Endocrinology

Nanjing, Jiangsu, China

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NCT07732777


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