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October 8, 2025European Heart Journal - Digital HealthOpen Access

AI-guided refinement of coronary revascularization need in patients suspected of acute coronary syndrome

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Authors

MSManuel SigleDHDiana HeurichWFWenke Faller

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Overview

Retrospective cohort study demonstrates improved diagnostic accuracy for coronary revascularization needs in ACS patients, indicating potential for better clinical decision-making.

Key Points

  • AI-guided models increased the accuracy of predicting coronary revascularization needs in ACS cases, reducing unnecessary angiographies.
  • Model 4, including sequential troponin testing, showed the highest AUROC of 0.87, suggesting enhanced predictive capability with added diagnostics.
  • The study analyzed 2,756 patients suspected of ACS, revealing critical insights about underdiagnosis and overdiagnosis factors.
  • Prehospital and early hospital assessments together improved the reliability of determining the need for coronary interventions.

Cite This Study

Sigle et al. (2025) studied this question.

synapsesocial.com/papers/68e6494525bc5bdb98713b4dhttps://doi.org/10.1093/ehjdh/ztaf106
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