From innovation to implementation: Addressing the AI adoption gap in cardiac surgery

AI is positioned to augment cardiac surgery, with the most mature applications in imaging and operational logistics. Adoption remains constrained by heterogeneous data, limited interpretability, regulatory uncertainty, and poor workflow integration. Progress will require multicenter data collaboratives, strong validation frameworks, and clinician-centered implementation strategies that position AI as an augmentative partner, enhancing precision, judgment, and system efficiency.