AI-Enabled ECG Detects Undiagnosed Advanced Liver Disease
Mayo Clinic researchers published a randomized, cluster trial in Nature Medicine (2025) showing an AI model analyzing 11,513 routine ECGs doubled detection of asymptomatic advanced chronic liver disease compared with standard care. The model flagged patients who were then confirmed by imaging or blood tests and enabled earlier linkage to treatment. Researchers will follow newly diagnosed patients over two years to assess outcomes and potential reduction in transplant need.
Key Points
- 1Detected twice as many asymptomatic advanced liver disease cases using AI analysis of 11,513 routine ECGs.
- 2Demonstrated earlier diagnosis in a pragmatic, cluster-randomized trial across 248 clinicians and Mayo Clinic sites.
- 3Enabled prompt linkage to imaging, blood tests, and interventions potentially reducing progression and transplant need.
Scoring Rationale
High-quality randomized trial and authoritative Nature Medicine publication, but applicability depends on wider external validation and operational deployment.
Sources
Public references used for this report.
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