Perspectives synthesize literature on AI tools in solid organ transplantation, highlighting implications for care and research gaps.
Artificial Intelligence (AI) has widespread applications in solid organ transplantation (SOT), a field that fundamentally depends on optimizing complex paradigms across the continuum of care-from organ allocation to post-transplant management. However, only a minority have been tested through clinical trials. This perspective aims to synthesize the literature, identify gaps, and future directions for clinical trials of AI tools in SOT and how they may inform applications in related contexts.
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Hasjim et al. (2026) studied this question.
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