Multi-organ exchange: The whole is greater than the sum of its parts

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Abstract

Kidney exchange, where candidates with organ failure trade incompatible but willing donors, is a life-saving alternative to the deceased donor waitlist, which has inadequate supply to meet demand. While fielded kidney exchanges see huge benefit from altruistic kidney donors (who give an organ without a paired needy candidate), a significantly higher medical risk to the donor deters similar altruism with livers. In this paper, we begin by proposing the idea of liver exchange, and show on demographically accurate data that vetted kidney exchange algorithms can be adapted to clear such an exchange at the nationwide level. We then explore cross- organ donation where kidneys and livers can be bartered for each other. We show theoretically that this multi- organ exchange provides linearly more transplants than running separate kidney and liver exchanges; this linear gain is a product of altruistic kidney donors creating chains that thread through the liver pool. We support this result experimentally on demographically accurate multi-organ exchanges. We conclude with thoughts re-garding the fielding of a nationwide liver or joint liver- kidney exchange from a legal and computational point of view.

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APA

Dickerson, J. P., & Sandholm, T. (2014). Multi-organ exchange: The whole is greater than the sum of its parts. In Proceedings of the National Conference on Artificial Intelligence (Vol. 2, pp. 1412–1418). AI Access Foundation. https://doi.org/10.1609/aaai.v28i1.8885

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