Third annual transplant AI symposium: from organ matching to digital twins.

Frontiers in transplantation Pub Date : 2026-06-26 eCollection Date: 2026-01-01 DOI:10.3389/frtra.2026.1871888
Devina Ramesh, Praveen Manickavel, Aman Sidhu, Walter K Kremers, Girish Mour, Robert C Huebert, Joseph Ahn, Mamatha Bhat
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Abstract

The Ajmera Transplant Center and Mayo Clinic hosted the third annual Transplant Artificial Intelligence (AI) Symposium in Toronto, Canada, bringing together expert clinicians, researchers, scientists, and trainees to discuss the current role of AI in transplant medicine. This paper summarizes the third annual Transplant AI Symposium proceedings and talks. Presentations covered a wide range of topics across the transplant continuum, highlighting numerous benefits of AI in transplantation such as organ matching, human-AI collaboration, and survival/risk prediction. Artificial intelligence is most useful when linked to specific clinical problems, especially those involving multimodal or longitudinal data. However, speakers also emphasized ongoing limitations in data quality, generalizability, workflow integration, and fairness. Multiple presentations highlighted the importance of clinician oversight. Overall, the symposium highlighted that the future of transplant AI will depend on careful validation, clinically meaningful implementation, and attention to patient outcomes (Figure 1).

第三届人工智能移植年会:从器官匹配到数字双胞胎。
Ajmera移植中心和梅奥诊所在加拿大多伦多举办了第三届年度移植人工智能(AI)研讨会,汇集了专家临床医生、研究人员、科学家和学员,讨论人工智能在移植医学中的当前作用。本文总结了第三届移植人工智能研讨会的会议记录和演讲。报告涵盖了移植连续体的广泛主题,强调了人工智能在移植中的众多益处,如器官匹配、人类-人工智能协作和生存/风险预测。人工智能在与特定的临床问题联系起来时最有用,特别是那些涉及多模式或纵向数据的问题。然而,演讲者也强调了在数据质量、通用性、工作流集成和公平性方面的局限性。多个报告强调了临床医生监督的重要性。总的来说,研讨会强调,移植人工智能的未来将取决于仔细的验证、有临床意义的实施和对患者结果的关注(图1)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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