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This week's Editor's Page outlines JACC's expectations for AI research manuscripts in cardiovascular care, emphasizing the need for clinical relevance, real-world feasibility, and responsible evaluation beyond retrospective model performance. We present a framework focusing on three core domains: addressing a genuine clinical need, using fit-for-purpose evaluation methods across different development stages, and ensuring transparency, interpretability, and reproducibility. JACC prioritizes submissions that demonstrate real-world impact, responsible innovation, and a clear path to improving patient care—especially those that go beyond early model development.
By American College of CardiologyThis week's Editor's Page outlines JACC's expectations for AI research manuscripts in cardiovascular care, emphasizing the need for clinical relevance, real-world feasibility, and responsible evaluation beyond retrospective model performance. We present a framework focusing on three core domains: addressing a genuine clinical need, using fit-for-purpose evaluation methods across different development stages, and ensuring transparency, interpretability, and reproducibility. JACC prioritizes submissions that demonstrate real-world impact, responsible innovation, and a clear path to improving patient care—especially those that go beyond early model development.