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The model has been updated using more recent referral data and has undergone external validation using 2008-2023 province-wide data to confirm generalizability (Petch et al, unpublished paper, April 2025). The integration of this model into clinical practice may enable a more accurate assessment of patient risk and improve diagnostic efficiencies.
A decision support tool that incorporates such an AI model within a centralized triage pathway may facilitate patient selection for first-line CCTA (Figure 1).
JMIR Res Protoc 2025;14:e71726
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Machine Learning–Based Early Warning Systems for Clinical Deterioration: Systematic Scoping Review
J Med Internet Res 2021;23(2):e25187
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