Multi-Organ Exchange
Dickerson, John P., Sandholm, Tuomas
–Journal of Artificial Intelligence Research
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.
Journal of Artificial Intelligence Research
Nov-26-2017
- Country:
- North America > United States
- Michigan (0.04)
- Massachusetts (0.04)
- Pennsylvania > Allegheny County
- Pittsburgh (0.14)
- Maryland > Prince George's County
- College Park (0.14)
- California > Santa Clara County
- Palo Alto (0.04)
- Asia
- North America > United States
- Genre:
- Research Report
- Experimental Study (0.93)
- New Finding (0.67)
- Research Report
- Industry:
- Technology: