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September 5, 2025Open Access

TARGET-AI: a foundational approach for the targeted deployment of artificial intelligence electrocardiography in the electronic health record

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Authors

EOEvangelos K. OikonomouBBBruno BatinicaLDLovedeep Singh Dhingra

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Overview

Observational analysis improved AI-ECG screening for structural heart disease, indicating better accuracy.

Key Points

  • TARGET-AI reduced false positive predictions in SHD screening by up to 87.8%, improving diagnostic accuracy.
  • The AI foundation model distinguished 27 SHD subtypes, with AUROC scores ranging from 0.82 to 0.90.
  • Evaluation included over 38,000 patients across distinct cohorts from electronic health records and the UK Biobank.
  • The approach emphasizes the importance of tailored AI deployment strategies for effective screening.

Cite This Study

Oikonomou et al. (2025) studied this question.

synapsesocial.com/papers/68c238d2b210217d64779b31https://doi.org/10.1101/2025.08.25.25334266
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Also Consider

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