20th Anniversary Logo Odt

Ethics and Algorithms to Navigate AI’s Emerging Role in Organ Transplantation

Organization: MDPI
Journey Stage: (E) Listing, (Q) Organ Offered to Center
Organization Type: Society or Professional Organization
Use Case(s): Allocation, Clinical Intervention, Diagnostics, Donor Prediction
Country: Kazakhstan

Pulled from MDPI

by Amankeldi A. Salybekov 1,*ORCID,Ainur Yerkos 2ORCID,Martin Sedlmayr 3ORCID andMarkus Wolfien 3,4

Background/Objectives: Solid organ transplantation remains a critical life-saving treatment for end-stage organ failure, yet it faces persistent challenges, such as organ scarcity, graft rejection, and postoperative complications. Artificial intelligence (AI) has the potential to address these challenges by revolutionizing transplantation practices. Methods: This review article explores the diverse applications of AI in solid organ transplantation, focusing on its impact on diagnostics, treatment, and the evolving market landscape. We discuss how machine learning, deep learning, and generative AI are harnessing vast datasets to predict transplant outcomes, personalized immunosuppressive regimens, and optimize patient selection. Additionally, we examine the ethical implications of AI in transplantation and highlight promising AI-driven innovations nearing clinical implementation.

Learn More

Key Contact:

Amankeldi
Salybekov •
Leading Researcher (MD, PhD), Director at the Qazaq Institute of Innovative Medicine (QazIIM)

The Alliance is committed to fostering collaboration and knowledge-sharing across the donation and transplantation community. Research and materials shared on this page are contributed by individual authors and organizations. While we aim to provide a valuable forum for exchange, submissions are not formally reviewed or endorsed by The Alliance. The perspectives expressed belong solely to the authors, and users are encouraged to review content thoughtfully and in the context of their own professional judgment.