Detecting early type 2 diabetes using ultrasound and AI analysis of muscle
Early Type 2 Diabetes Detection with AI-Analysis of Skeletal Muscle Ultrasound and Mechanistic Evaluations
This study is looking for early signs of type 2 diabetes by using ultrasound images of muscles, and it's especially for people in underserved communities, so we can catch potential issues before they become serious and help improve health outcomes.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Michigan at Ann Arbor NIH-funded |
| Lab location | 1 site (Ann Arbor, United States) |
| Project ID | NIH-11121651 on NIH RePORTER |
What this research studies
This research aims to identify early signs of type 2 diabetes (T2D) by analyzing ultrasound images of skeletal muscle. By using advanced AI techniques, the study will evaluate muscle echo intensity to detect insulin resistance and muscle dysfunction before traditional glucose tests indicate a problem. The focus is on underserved communities, where early detection could significantly improve health outcomes and reduce complications associated with diabetes. Participants will undergo non-invasive ultrasound assessments to help identify those at risk for T2D.
Who could benefit from this research
Good fit: Ideal candidates include adults, particularly those from underserved communities, who may be at risk for type 2 diabetes or prediabetes.
Not a fit: Patients who are already diagnosed with type 2 diabetes or those without risk factors for diabetes may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to earlier diagnosis and intervention for type 2 diabetes, potentially preventing severe health complications.
How similar studies have performed: Previous research has shown promise in using ultrasound to detect metabolic issues, suggesting this approach could be effective.
Where this research is happening
Ann Arbor, United States
- University of Michigan at Ann Arbor — Ann Arbor, United States (Active)
Researchers
- Principal investigator: Soliman, Steven B — University of Michigan at Ann Arbor
- Study coordinator: Soliman, Steven B
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.