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The Application of an AI-driven Multimodal Predictive Model for Cognitive Impairment in Patients With Type 2 Diabetes Mellitus

NCT07128186 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 5000

Last updated 2025-08-17

No results posted yet for this study

Summary

The objective of this observational study is to evaluate the accuracy and feasibility of an artificial intelligence-based multimodal cognitive screening system in early identification of diabetes-related mild cognitive impairment (MCI) among type 2 diabetes mellitus (T2DM) patients through a 3-5 year follow-up. It also aims to analyze the correlation between diabetic metabolic indicators (such as glycemic variability and HbA1c levels) and cognitive function changes, thereby determining the value of this intelligent screening system in early detection and intervention of cognitive impairment in T2DM patients, which constitutes the key focus of this research.

Conditions

  • Cognitive Dysfunction

Interventions

OTHER

follow-up observation

In this study, no additional interventions were administered to any enrolled participants; only 3-5 years of follow-up observation were conducted, with cognitive status data collected at both baseline and endpoint.

Sponsors & Collaborators

  • Tongji Hospital

    lead OTHER

Eligibility

Min Age
40 Years
Max Age
75 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-04-22
Primary Completion
2028-12-30
Completion
2028-12-30

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07128186 on ClinicalTrials.gov