Designing explainable AI to improve human-AI team performance: a medical stakeholder-driven scoping review

HV Subramanian, C Canfield, DB Shank - Artificial Intelligence in Medicine, 2024 - Elsevier
The rise of complex AI systems in healthcare and other sectors has led to a growing area of
research called Explainable AI (XAI) designed to increase transparency. In this area …

[HTML][HTML] Deceased donor characteristics and kidney transplant outcomes

A Sharif - Transplant International, 2022 - frontierspartnerships.org
Kidney transplantation is the therapy of choice for people living with kidney failure who are
suitable for surgery. However, the disparity between supply versus demand for organs …

[HTML][HTML] Kidney transplants from elderly donors: what we have learned 20 years after the Crystal City consensus criteria meeting

A Mella, R Calvetti, A Barreca, G Congiu… - Journal of …, 2024 - Springer
Based on the current projection of the general population and the combined increase in end-
stage kidney disease with age, the number of elderly donors and recipients is increasing …

Kidney utility and futility

RJ Stratta - Clinical Transplantation, 2022 - Wiley Online Library
Abstract Changes in kidney allocation coupled with the COVID‐19 pandemic have placed
tremendous strain on current systems of organ distribution and logistics. Although the …

Identify hard-to-place kidneys for early engagement in accelerated placement with a deep learning optimization approach

L Ashiku, C Dagli - Transplantation Proceedings, 2023 - Elsevier
Recommended practices that follow match-run sequences for hard-to-place kidneys
succumb to many declines, accruing cold ischemic time and exacerbating kidney quality that …

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 …, 2022 - ieeexplore.ieee.org
The demand for kidney transplants is growing and far outweighs the supply of kidneys. With
approximately 20 percent of kidneys discarded each year, there is an opportunity to develop …

Computational Intelligence Approach to SoS Architecting and Analysis

C Dagli, R Threlkeld, L Ashiku - Systems Engineering for the …, 2023 - Wiley Online Library
Summary “System‐of‐Systems”(SoS) is an emerging and essential multidisciplinary area of
systems engineering impacting various systems across multiple disciplines. SoS are difficult …

Towards Inclusive Fairness Evaluation via Eliciting Disagreement Feedback from Non-Expert Stakeholders

M Telukunta, VSS Nadendla - arXiv preprint arXiv:2304.03801, 2023 - arxiv.org
Traditional algorithmic fairness notions rely on label feedback, which can only be elicited
from expert critics. However, in most practical applications, several non-expert stakeholders …

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

R Dzieran, L Ashiku, R Threlkeld, C Dagli… - Conference on Systems …, 2024 - Springer
An AI-powered decision-making tool is being developed to aid transplant surgeons in
evaluating an existing deep-learning model. The goal is to improve the quality of decision …

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 …, 2023 - ieeexplore.ieee.org
The gap between the demand for kidneys and the supply of kidneys keeps growing by
approximately six percent per year. There is an opportunity to utilize discarded kidneys, with …