Abstract: Acute Kidney Injury (AKI) is a clinical syndrome characterized by a rapid decline in renal function and can be caused by various etiologies. Patients with severe AKI have a high mortality rate. Currently, there is a lack of effective etiological treatments for AKI. Therefore, the development of rapid and accurate prognostic prediction models is of great significance for identifying risk factors and guiding interventions. With the increasing popularity of artificial intelligence technologies, AKI prognostic models based on machine learning and deep learning have gained increasing interest. This review summarizes the classic scoring systems for AKI prognosis, nomogram-based visualization models, and the recent progress of artificial intelligence applications in AKI prognostic models for reference by professionals in the field.

Key words: acute kidney injury, prognostic model, scoring system, artificial intelligence