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PRIME 2.0: An Update to The Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation Checklist
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DOI：10.1016/j.jcmg.2025.08.004.png)
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Abstract
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• Rapid growth in artificial intelligence (AI) for cardiovascular imaging highlights the need for structured reporting guidance. • PRIME 2.0 introduces a cardiac imaging-specific, expert-derived checklist across seven key study domains across the lifecycle of AI research. • The framework fosters transparency, reproducibility, and alignment with evolving AI technologies and clinical needs. • Comprising essential and advanced elements, the two-tiered checklist is designed specifically to support flexible and scalable integration into cardiac imaging research across diverse healthcare settings.
Keywords:
AI in cardiovascular imaging
structured reporting
PRIME 2.0
transparency
reproducibility
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