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Richard Threlkeld
Richard Threlkeld
CEO and Adjunct Professor
Verified email at mst.edu
Title
Cited by
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Year
Reducing kidney discard with artificial intelligence decision support: The need for a transdisciplinary systems approach
R Threlkeld, L Ashiku, C Canfield, DB Shank, MA Schnitzler, KL Lentine, ...
Current transplantation reports, 1-9, 2021
102021
Identifying AI Opportunities in Donor Kidney Acceptance: Incremental Hierarchical Systems Engineering Approach
L Ashiku, R Threlkeld, C Canfield, C Dagli
2022 IEEE International Systems Conference (SysCon), 1-8, 2022
42022
Complex System Methodology for Meta Architecture optimization of the Kidney Transplant System of Systems
R Threlkeld, L Ashiku, C Dagli
2022 17th Annual System of Systems Engineering Conference (SOSE), 304-309, 2022
32022
Computational Intelligence Approach to SoS Architecting and Analysis
C Dagli, R Threlkeld, L Ashiku
Systems Engineering for the Digital Age: Practitioner Perspectives, 637-664, 2023
2023
AI-Enabled Digital Support to Increase Placement of Hard-to-Place Deceased Donor Kidneys
R Threlkeld, L Ashiku, C Dagli, C Canfield, K Lentine, M Schnitzler, ...
AMERICAN JOURNAL OF TRANSPLANTATION 23, S815-S816, 2023
2023
A Use Case for Developing Meta Architectures with Artificial Intelligence and Agent Based Simulation in the Kidney Transplant Complex System of Systems
R Threlkeld, L Ashiku, C Dagli
2023 18th Annual System of Systems Engineering Conference (SoSe), 1-6, 2023
2023
Donor Disposition AI Model to Predict Transplant for Recovered Deceased Donor Kidneys.
L Ashiku, R Threlkeld, C Dagli, M Schnitzler, C Canfield, K Lentine, ...
AMERICAN JOURNAL OF TRANSPLANTATION 22, 652-653, 2022
2022
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