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Echo-Based, Artificial Intelligence Algorithm Identifies Future Heart Failure Cases | Synapse
June 4, 2026
Open Access
Echo-Based, Artificial Intelligence Algorithm Identifies Future Heart Failure Cases
YC
Yih‐Kai Chan
Australian Catholic University
GS
Geoff A. Strange
The University of Notre Dame Australia
DP
David Playford
The University of Notre Dame Australia
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Key Points
The aim is to develop and validate an artificial intelligence algorithm that predicts future heart failure cases based on echo data.
Utilized an echo-based algorithm integrated with AI for prediction.
Randomized trial with comprehensive echo data analysis.
Population included various demographics to assess algorithm accuracy.
The AI algorithm accurately predicted heart failure cases with a sensitivity of 85% and specificity of 90%.
Identified significant biomarkers associated with future heart failure onset.
Improved predictive accuracy over traditional methods, p<0.01.
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Cite This Study
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Chan et al. (Mon,) studied this question.
synapsesocial.com/papers/6a211ad4d499ed480b170fa4
https://doi.org/https://doi.org/10.1016/j.jchf.2026.103161