Innovation in paediatric and adult congenital cardiology increasingly depends on collaboration among academia, industry, and professional communities. From this perspective, the author argues that clinical prediction represents a natural convergence point for these stakeholders, aligning safe, personalised care with economic incentives. The author discusses emerging evidence highlighting the promise of artificial intelligence-driven prediction across various cardiovascular domains, while highlighting current limitations related to narrow scope, static design, and weak integration into clinical decision-making. Medicine-based evidence and a high-quality, inclusive data infrastructure may help address these gaps. Together, these approaches, along with stakeholders upholding their responsibilities, define a path towards predictive innovation.
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Shelby Kutty
Cardiology in the Young
Epidemic Intelligence Service
BayCare Health System
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Shelby Kutty (Tue,) studied this question.
www.synapsesocial.com/papers/69d894ce6c1944d70ce05c38 — DOI: https://doi.org/10.1017/s1047951126111950
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