Clinical Research Directory
Browse clinical research sites, groups, and studies.
A Study to Detect Advanced Liver Disease Via AI-enabled Electrocardiogram
Sponsor: Mayo Clinic
Summary
The overall objectives of this study are to determine the effectiveness of ACE 2.0 model in early detection of advanced liver fibrosis, and to determine the acceptance and barriers for use of an AI-enabled algorithm for prediction of liver disease in primary care.
Official title: Early Detection of Advanced Liver Disease Via Artificial Intelligence-Enabled Electrocardiogram (Advance): A Pragmatic, Cluster-Randomized Clinical Trial
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
248
Start Date
2023-04-18
Completion Date
2025-09-01
Last Updated
2026-10-16
Healthy Volunteers
No
Conditions
Interventions
ACE (AI-Cirrhosis-ECG) 2.0
An electrocardiogram (ECG) based artificial intelligence (AI) powered tool for detection of undiagnosed cirrhosis in primary care practices. And email alert is sent to providers which will display whether the ACE 2.0 result is positive or negative for the likelihood of advanced liver disease.
Locations (1)
Mayo Clinic Minnesota
Rochester, Minnesota, United States