Author

Francisco López-Jiménez

2 papers indexed here

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Open access Sep 2026

Limited Clinical Utility of Artificial Intelligence-Enabled Electrocardiogram for Bicuspid Aortic Valve Detection: Uncovering Limitations for Specific Cardiac Phenotypes

In this retrospective cohort and using the current AI-ECG model, BAV detection showed modest diagnostic performance and limited standalone clinical utility, suggesting that ECG-only screening for BAV may require additional modalities or more refined phenotyping.

Manuel A. Montoya-Hernández, Francisco López-Jiménez, T. Poterucha et al. · Journal of the Heart Valve S... · 0 citations

Review Aug 2026

Artificial Intelligence-Enabled Acquisition and Interpretation for Screening Aortic Stenosis.

A deep learning algorithm accurately detected moderate or greater AS across validation cohorts in this study and support a scalable strategy that may expand access to AS detection in settings with limited echocardiography resources.

Eunjung Lee, J. Naser, Conor J. Kane et al. · JAMA cardiology · 1 citation