Clinical Takeaway Integration of AI for PPRCs into perioperative practice should be approached as a locally adapted strategy rather than as a simple transfer of an existing model. Institutions should first define the clinical target and intended purpose and select evaluation metrics aligned with that purpose. They should then assess compatibility between the original development setting and the local environment, considering differences in patient populations and event incidence, healthcare systems, EHR structures, coding and documentation practices, clinical practices, and data availability and collection. These considerations are important given the geographic concentration of the current evidence base and the potential differences across healthcare systems. Local, site-specific, and temporal validation should be performed as appropriate, followed by necessary adaptation and integration into a user-friendly clinical workflow. As clinical environments evolve and model performance and clinical utility may change over time, continuous post-implementation monitoring is essential. These steps should operate as an interconnected and iterative process, allowing reassessment and adaptation as local conditions and clinical needs change.