Technology-Enabled Care and Artificial Intelligence in Kidney Transplantation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Transplantation,Nephrology,Hepatology,Immunology,Surgery
Link
https://link.springer.com/content/pdf/10.1007/s40472-021-00336-z.pdf
Reference35 articles.
1. Merion RM, Ashby VB, Wolfe RA, Distant DA, Hulbert-Shearon TE, Metzger RA, et al. Deceased-donor characteristics and the survival benefit of kidney transplantation. JAMA. 2005;294(21):2726–33. https://doi.org/10.1001/jama.294.21.2726.
2. Massie AB, Luo X, Chow EKH, Alejo JL, Desai NM, Segev DL. Survival benefit of primary deceased donor transplantation with high-KDPI kidneys. Am J Transplant. 2014;14(10):2310–6. https://doi.org/10.1111/ajt.12830.
3. • Bae S, Massie AB, Thomas AG, et al. Who can tolerate a marginal kidney? Predicting survival after deceased donor kidney transplant by donor-recipient combination. Am J Transplant. 2019;19(2):425–33. https://doi.org/10.1111/ajt.14978This study provides an easily accessible tool for physicians to aid transplant candidates in the assessment of the survival benefit of accepting an organ offer.
4. Rao PS, Schaubel DE, Guidinger MK, Andreoni KA, Wolfe RA, Merion RM, et al. A comprehensive risk quantification score for deceased donor kidneys: the kidney donor risk index. Transplantation. 2009;88(2):231–6. https://doi.org/10.1097/TP.0b013e3181ac620b.
5. Smith JM, Biggins SW, Haselby DG, Kim WR, Wedd J, Lamb K, et al. Kidney, pancreas and liver allocation and distribution in the United States. Am J Transplant. 2012;12(12):3191–212. https://doi.org/10.1111/j.1600-6143.2012.04259.x.
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