The AI-driven integrative framework developed in this study identified five key diagnostic biomarkers (RPL10, MYL12B, TOMM7, PTBP1, and PPIA) for SA-AKI, achieving high diagnostic accuracy (AUC 0.9395–0.9996) across multicenter cohorts. The gene discussed is RPL10; the disease is acute kidney injury.