Primetime for Cardiovascular AI: The PRIME 2.0 Checklist Explained | JACC Baran
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Primetime for Cardiovascular AI: The PRIME 2.0 Checklist Explained | JACC Baran
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Hosts Dr. Mitsuaki Sawano, Dr. Kentaro Ejiri, and Dr. Satoshi Shoji welcome Dr. Nobuyuki Kagiyama of Juntendo University and Dr. Shinichi Goto of Tokai University to discuss PRIME 2.0: An Update to the Proposed Requirements for Cardiovascular Imaging–Related Machine Learning Evaluation Checklist, recently published in JACC. Building on the original 2020 PRIME framework, this global collaboration revises the checklist to keep pace with rapid advances in AI—from deep learning and multimodal data fusion to the emergence of generative models. Drs. Kagiyama and Goto share insights into the modified Delphi process that united clinicians and engineers to establish seven key domains spanning the AI research lifecycle, aiming to enhance transparency, reproducibility, and responsible clinical translation in cardiovascular imaging research.