Artificial Intelligence-Cirrhosis-Electrocardiogram (ACE) score; AI-Cirrhosis-ECG score
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Advantages
- noninvasive
- low-cost
- uses routine ECG data
Procedure
- deep learning model
- analyzes standard 12-lead ECGs to detect cirrhosis & grade its severity
- analyzes cardiac electrophysiologic changes associated with cirrhosis
More general terms
References
- ↑ Ahn JC, Attia ZI, Rattan P et ak Development of the AI-Cirrhosis-ECG Score: An Electrocardiogram-Based Deep Learning Model in Cirrhosis. Am J Gastroenterol. 2022 Mar 1;117(3):424-432. PMID: https://pubmed.ncbi.nlm.nih.gov/35029163 PMCID: PMC9727935 Free PMC article.
- ↑ Dimala CA, Al-Ajlouni YA, Nso N, Njei B. Artificial intelligence-enabled electrocardiography for risk prediction in chronic liver disease: A systematic review. Int J Cardiol. 2025 Sep 23;443:133926. PMID: https://pubmed.ncbi.nlm.nih.gov/40997956