Artificial Intelligence in Organ Transplantation: Surveying Current Applications, Addressing Challenges and Exploring Frontiers

Abstract

This chapter explores the crucial intersection of Artificial Intelligence (AI) and Machine Learning (ML) in the field of solid organ transplantation, which is encountering significant hurdles such as organ shortage and the necessity for enhanced donor-recipient matching. This chapter highlights innovative applications of AI and ML to improve decision-making processes, optimize organ allocation, and enhance patient outcomes after transplantation. The research explores the ability of AI and ML to analyze intricate variables and forecast outcomes with exceptional precision, using extensive datasets from the Web of Science and PubMed. The discussion focuses on the transformative potential of technologies in transplantation, as well as ethical considerations and the importance of transparent approaches. The in-depth look shows how AI and ML are changing transplantation, offering substantial improvements in patient care and operational efficiency.

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