AI-driven multimodal tool to identify early cognitive problems in people with type 2 diabetes
Official title: The Application of an AI-driven Multimodal Predictive Model for Cognitive Impairment in Patients With Type 2 Diabetes Mellitus
Run by Tongji Hospital · NCT07128186 · Data updated 2026-11-12
This project will test whether an AI-based multimodal screening system can find early memory problems in people aged 40–75 with type 2 diabetes during a 3–5 year follow-up.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 40 Years to 75 Years |
| Sex | All |
| Enrollment | 5000 (estimated) |
| Sponsor | Tongji Hospital Academic / other |
| Locations | 21 sites (Enshi, Hubei and 20 other locations) |
| Status | Recruiting |
| Started | April 22, 2025 |
| Main results expected | December 30, 2028 |
| Study ends | December 30, 2028 |
| Registry record updated | August 17, 2025 |
| Trial ID | NCT07128186 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are people aged 40–75 with type 2 diabetes who report memory complaints, have preserved basic activities of daily living, and score as cognitively normal or with mild cognitive impairment at baseline.
✕Probably not a fit
People with type 1 or gestational diabetes, less than 6 years of education, recent severe metabolic events, major neurological or psychiatric disorders, or advanced dementia are unlikely to benefit from this screening approach.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational cohort follows people with type 2 diabetes for 3–5 years using an AI-driven multimodal cognitive screening system to detect early mild cognitive impairment. Participants with normal cognition or mild cognitive impairment at baseline undergo regular cognitive testing and collection of metabolic indicators such as HbA1c and measures of glycemic variability. The AI model integrates multimodal data to predict cognitive decline and the study analyzes correlations between metabolic measures and cognitive changes over time. Exclusions include other diabetes types, education <6 years, recent acute metabolic events, and major neurological or psychiatric disorders that could affect cognition.
Why it matters
Potential benefit: If successful, the system could enable earlier detection of diabetes-related cognitive decline, allowing timelier interventions to help preserve daily function.
How similar studies have gone: Prior research using AI and multimodal biomarkers for early MCI detection has shown promise, but prospective long-term validation specifically in type 2 diabetes populations is limited.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: Inclusion Criteria 1. Diagnosed with type 2 diabetes mellitus (T2DM). 2. Aged 40-75 years, with self-reported or informant-reported memory complaints. 3. Cognitive assessment scores consistent with either: * Cognitive Normal (CN) or * Mild Cognitive Impairment (MCI). 4. Preserved ability to perform basic activities of daily living (ADLs). 5. Memory-specific deficits only (e.g., partial forgetfulness), with intact other cognitive domains (e.g., reasoning, judgment, attention, and executive function). Exclusion Criteria: 1. Other types of diabetes (e.g., type 1 diabetes, gestational diabetes). 2. Education level \<6 years. 3. Metabolic disorders that may affect cognition, including: * Acute carbohydrate metabolism events within 3 months (e.g., severe hypoglycemia, diabetic ketoacidosis, hyperglycemic hyperosmolar state). * Hypothyroidism or other endocrine disorders. 4. Neurological/psychiatric conditions that may impair cognition: * History of head trauma, depression, anxiety, delirium, severe pulmonary/renal disease, heart failure, or malignancy. 5. Substance abuse (past 2 years), including nicotine/alcohol dependence. 6. Recent medication use (within 1 month): * Anti-Parkinsonian drugs, antiepileptics, sedatives/hypnotics. 7. Cognitive-enhancing drugs (e.g., donepezil, memantine). 8. Inability to complete AI screening or follow-up due to: * Speech/hearing/visual impairments or other disabilities
Where it's running
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Minda Hospital Affiliated to Hubei Minzu University
Enshi, Hubei, China Recruiting -
Huanggang Central Hospital
Huanggang, Hubei, China Recruiting -
Huangshi Central Hospital
Huangshi, Hubei, China Recruiting -
Jingzhou Central Hospital
Jingzhou, Hubei, China Recruiting -
Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
Wuhan, Hubei, China Recruiting -
China Resources & WISCO General Hospital
Wuhan, Hubei, China Recruiting
Show 15 more locations
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Hubei Provincial Hospital of Integrated Chinese & Western Medicine
Wuhan, Hubei, China Recruiting -
Wuhan Central Hospital
Wuhan, Hubei, China Recruiting -
Wuhan Fifth Hospital
Wuhan, Hubei, China Recruiting -
Wuhan Fourth Hospital
Wuhan, Hubei, China Recruiting -
Xiangyang First People's Hospital
Xiangyang, Hubei, China Recruiting -
Xianning Central Hospital
Xianning, Hubei, China Recruiting -
Xiaogan Central Hospital
Xiaogan, Hubei, China Recruiting -
Renhe Hospital Affiliated to China Three Gorges University
Yichang, Hubei, China Recruiting -
Yichang Central People's Hospital
Yichang, Hubei, China Recruiting -
Sinopharm Dongfeng General Hospital
Shiyan, Hubei, China Not yet recruiting -
Suizhou Central Hospital
Suizhou, Hubei, China Not yet recruiting -
Tianyou Hospital Affiliated to Wuhan University of Science and Technology
Wuhan, Hubei, China Not yet recruiting -
Xiangyang Central Hospital
Xiangyang, Hubei, China Not yet recruiting -
Xiantao First People's Hospital
Xiantao, Hubei, China Not yet recruiting -
Sinopharm Gezhouba Central Hospital
Yichang, Hubei, China Not yet recruiting
Study contacts
- Study coordinator: Prof. Yang, Doctor
- Email: yangyantj@qq.com
- Phone: 86-18827397697
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.