Multi-Organ Exchange
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 exploring the idea of large-scale 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 propose 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; it exists even when only a small but constant portion of the donors on the kidney side of the pool are willing to donate a liver lobe. We support this result experimentally on demographically accurate multi-organ exchanges. We conclude with thoughts regarding the fielding of a nationwide liver or joint liver-kidney exchange from a legal and computational point of view.
Cite
Text
Dickerson and Sandholm. "Multi-Organ Exchange." Journal of Artificial Intelligence Research, 2017. doi:10.1613/JAIR.4919Markdown
[Dickerson and Sandholm. "Multi-Organ Exchange." Journal of Artificial Intelligence Research, 2017.](https://mlanthology.org/jair/2017/dickerson2017jair-multiorgan/) doi:10.1613/JAIR.4919BibTeX
@article{dickerson2017jair-multiorgan,
title = {{Multi-Organ Exchange}},
author = {Dickerson, John P. and Sandholm, Tuomas},
journal = {Journal of Artificial Intelligence Research},
year = {2017},
pages = {639-679},
doi = {10.1613/JAIR.4919},
volume = {60},
url = {https://mlanthology.org/jair/2017/dickerson2017jair-multiorgan/}
}