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From prediction to practice: a narrative review of recent artificial intelligence applications in liver transplantation

Figure 2. Trends and distribution of AI in liver transplant research (2021-2024). Multi-panel visualization depicting AI applications in LT research: (A) Geographic distribution of publications highlights the global contribution to AI in LT, led by the United States; (B) Average citations by year and category show increasing impact, particularly in Transplant Oncology (HCC recurrence prediction); (C) Temporal trends in research focus are shown in a heatmap depicting the distribution of publications across categories over time; and (D) algorithm distribution analysis reveals a predominance of neural networks and tree-based methods. Other non-linear approaches include k-Top Scoring Pairs and MARS. AI: Artificial intelligence; LT: liver transplantation; HCC: hepatocellular carcinoma; MARS: multivariate adaptive regression splines.

Artificial Intelligence Surgery
ISSN 2771-0408 (Online)
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