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September 10, 2025TransplantologyOpen Access

AI and Machine Learning in Transplantation

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This review synthesizes AI's role in improving graft outcomes and predictive accuracy in transplantation, highlighting implementation challenges.

AI-driven techniques enhance predictive accuracy in graft outcomes, suggesting better donor–recipient matching.
The review discusses real-time graft viability assessment and adaptive immunosuppression to address clinical needs.
Implementation of AI in transplantation requires addressing algorithmic bias and integrating with existing workflows.
Collaborative approaches and ethical oversight are crucial for the effective use of AI in transplant medicine.

Vivek et al. (2025) studied this question.

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This review synthesizes AI's role in improving graft outcomes and predictive accuracy in transplantation, highlighting implementation challenges.