The road to innovation: Collaborative enhancement of clinical prediction—A 9th World Congress of Pediatric Cardiology and Cardiac Surgery closing plenary lecture
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.
Authors
- Shelby Kutty (ORCID: https://orcid.org/0000-0001-9428-0979)
Institutions
- BayCare Health System (US)
- Epidemic Intelligence Service (US)
Publication Details
- Journal
- Cardiology in the Young
- Published
- 2026-04-07
- DOI
- https://doi.org/10.1017/s1047951126111950
- Primary Topic
- Congenital Heart Disease Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00