Innovation in aortic surgery requires more than AI: a perspective on data governance and shared decision-making
Adine R de Keijzer·Kevin M. Veen·Reda Rhellab·Johanna J M Takkenberg·Francesco Zito·Giovanni Melina·Jolanda Kluin
Clinical decision-making for individuals undergoing valvular and aortic surgery remains challenging, particularly in young patients facing lifelong risk and repeated interventions. As predictive technologies such as artificial intelligence and advanced statistical modelling evolve, the surgical community must ensure that key foundational elements, namely data governance, including data standardization, and regulation, are firmly in place. Without high-quality, standardized, and ethically governe