Cirrhosis detection help using an AI tool in medical records
Official title: Stakeholder Engagement and Modeling for Adoption of a Novel Cirrhosis Detection Algorithm
Funded at University of Michigan at Ann Arbor · NIH-11447104 · Data updated 2026-11-12
A new AI-powered approach using electronic health record data aims to improve early cirrhosis detection to help people with alcoholic liver disease get timely care.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Michigan at Ann Arbor NIH-funded |
| Lab location | 1 site (Ann Arbor, United States) |
| Project start | September 21, 2026 |
| Project end | June 30, 2030 |
| Funding year | 2026 |
| Award (this year) | $810,994 |
| NIH project number | 1R01DK142691-01A1 |
| Project ID | NIH-11447104 on NIH RePORTER |
Who could benefit from this research
✓Could help
Patients with suspected or confirmed alcoholic liver disease who are undergoing routine care and have electronic health records suitable for AI analysis.
✕Less likely to help
Patients without access to electronic health records or those not involved in routine primary or specialist liver care may not benefit.
What this research studies
This project develops an AI-based cirrhosis detection tool that analyzes information within patients’ electronic health records. It focuses on improving accuracy in identifying compensated cirrhosis, so clinicians can refer patients earlier for specialty care and preventive therapies. The work emphasizes real-world adoption, including clinician engagement and workflow integration, to ensure the tool fits into routine practice. By targeting a population affected by alcohol-related liver disease, the study aims to reduce decompensation events and potentially improve outcomes.
Why it matters
Potential benefit: If successful, patients could receive earlier diagnosis and access to preventive care, reducing hospitalizations and liver-related complications.
How similar studies have gone: Previous work on disease detection from health records has shown promise, but this project focuses on improving sensitivity and specificity for cirrhosis in diverse, modern cohorts.
Where this research is happening
-
University of Michigan at Ann Arbor
Ann Arbor, United States Active
Researchers
- Principal investigator: Parikh, Neehar Dilip — University of Michigan at Ann Arbor
- Study coordinator: Parikh, Neehar Dilip
Related research
Other NIH-funded projects on the same topics.
-
Statin therapy for people with compensated cirrhosis
A big, long-term study at a major university is looking at whether statins can help people with compensated cirrhosis live longer and feel better.
-
Liver Cirrhosis Network: Centers for Clinical Research
A multicenter study in people with cirrhosis from different causes (including HIV, NASH, and alcohol-related liver disease) to collect data and samples and test new ways to predict and monitor disease progression.
-
Outcomes in cirrhosis from different causes and the role of HIV and simvastatin
This study looks at how cirrhosis from alcohol, HIV, and other causes affects patients and whether simvastatin can influence outcomes.
-
Liver Cirrhosis Network: Mayo Clinic's Clinical Research Center
A Mayo Clinic-led project will follow and help people with compensated cirrhosis, using data, imaging, and a big AI tool to predict when complications may happen and test whether a statin can improve outcomes.
-
Understanding how risk factors affect progression of cirrhosis and response to statins in patients with cirrhosis
This project follows people with cirrhosis to see what factors speed up their liver disease and whether statin medicines help prevent worsening.
-
Cirrhosis Network study to understand mortality and therapies
A large, multi-center study in people with cirrhosis to find better ways to predict deaths and test the potential of statins to prevent complications like liver cancer and liver failure.
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.