fig9

Figure 9. Analysis of AI applications in post-liver transplant risk predictions (2021-2024). (A) Distribution of assessment categories shows cardiac events and infections as the most studied complications; (B) Algorithm distribution reveals a preference for neural networks and tree-based methods across complications; (C) Performance metrics demonstrate high accuracy/AUC across categories; (D) Data types utilized vary by complication, with tabular data being most common. Complications studied include AKI, infections, cardiac events, brain changes, alcohol use, biliary complications, and malignancy. AI: Artificial intelligence; AUC: area under the curve; AKI: acute kidney injury.