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The road to innovation: Collaborative enhancement of clinical prediction—A 9th World Congress of Pediatric Cardiology and Cardiac Surgery closing plenary lecture

2026·0 Zitationen·Cardiology in the Young
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2026

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Abstract

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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Congenital Heart Disease StudiesArtificial Intelligence in Healthcare and EducationPhonocardiography and Auscultation Techniques
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