PERSPECTIVE article
Front. Transplant.
Sec. Abdominal Transplantation
This article is part of the Research TopicEmerging Technologies in Organ Transplantation and Transplantation Oncology: From Basic Research to Clinical ApplicationsView all articles
2024 Transplant AI Symposium: Key AI Models Shaping the Future of Transplant Care
Provisionally accepted
- 1University Health Network (UHN), Toronto, Canada
- 2University of Toronto, Toronto, Canada
- 3University Health Network, Toronto, Canada
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Experts in transplantation medicine and AI innovation came together to showcase advancements in AI applications with the potential to improve transplant outcomes. Ethical deployment, consolidation of multimodal data and supporting clinical decision making were among the themes addressed. Experts presented foundational models such as MedSAM for universal medical image segmentation, scPGT for single-cell genomics and Clinical Camel for clinical decision support, each demonstrating high capability and adaptability across transplant specialities. Experts highlighted future directions, considerations, and challenges for integrating these tools into clinical practice in an ethical and safe manner. We will summarize these themes as discussed at the Ajmera Transplant Centre's second annual Transplant AI Symposium.
Keywords: transplant, Artifical Intelligence (AI), solid organ transplant, liver transplant, lung transplant, Cardiac Transplant
Received: 13 Oct 2025; Accepted: 28 Nov 2025.
Copyright: © 2025 Koivu, Azarfar, Maleki and Bhat. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Annabel Koivu
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