System-of-Systems Approach for Improving Quality of Kidney Transplant Decision-Making Support for Transplant Surgeons-Reference-Cited by-同舟云学术

System-of-Systems Approach for Improving Quality of Kidney Transplant Decision-Making Support for Transplant Surgeons

Published:2024 Issue: Volume: Page:327-340
ISSN:3004-9849
Container-title:Conference on Systems Engineering Research Series
language:en
Short-container-title:

Author:

Dzieran Rachel,Ashiku Lirim,Threlkeld Richard,Dagli Cihan,Marley Robert

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-62554-1_20

Reference16 articles.

1. Threlkeld, R., Ashiku, L., Canfield, C., Shank, D., Schnitzler, M., Lentine, K., Axelrod, D., Battineni, A. C. R., Randall, H., & Dagli, C. (2021). Reducing kidney discard with artificial intelligence decision support: The need for a transdisciplinary systems approach. In Current transplantation reports (pp. 1–9).

2. Schwarts, R., Vassilev, A., Greene, K., Perine, L., Burt, A., & Hall, P. (2022, March). National Institute of Standards and Technology Special Publication 1270 (pp. 1–86).

3. White House Office of Science and Technology. (2022, October). Blueprint for an AI bill of rights: Making automated systems work for the American people (pp. 1–73).

4. Loftus, T. J., Shickel, B., Ozrazgat-Baslanti, T., Ren, Y., Glicksberg, B. S., Cao, J., Singh, K., Chan, L., Nadkarni, G. N., & Bihorac, A. (2022). Artificial intelligence-enabled decision support in nephrology. Nature Reviews. Nephrology, 18(7), 452–465.

5. Ashiku, L., Threlkeld, R., Canfield, C., & Dagli, C. (2022). Identifying AI opportunities in donor kidney acceptance: Incremental hierarchical systems engineering approach. In IEEE international Systems Conference (SysCon) (pp. 978–985).