Nicoleta J. Economou-Zavlanos

11 papers Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A federated learning framework for ethical dynamic treatment allocation across heterogeneous hospitals.
J. Biomed. Informatics
Xenia Konti, Nicoleta J. Economou-Zavlanos, Yi Shen, Giorgos Stamou, Armando Bedoya, Michael J. Pencina, Chuan Hong, Michael M. Zavlanos
2025 J jnl
An Agentic AI System for Multi-Framework Communication Coding.
CoRR
Bohao Yang, Rui Yang, Joshua M. Biro, Haoyuan Wang, Jessica L. Handley, Brianna Richardson, Sophia Bessias, Nicoleta J. Economou-Zavlanos, Armando Bedoya, Monica Agrawal, Michael M. Zavlanos, Anand Chowdhury, Raj M. Ratwani, Kai Sun, Kathryn I. Pollak, Michael J. Pencina, Chuan Hong
2025 J jnl
An evaluation framework for ambient digital scribing tools in clinical applications.
npj Digit. Medicine
Haoyuan Wang, Rui Yang, Mahmoud Alwakeel, Ankit Kayastha, Anand Chowdhury, Joshua M. Biro, Anthony D. Sorrentino, Jessica L. Handley, Sarah Hantzmon, Sophia Bessias, Nicoleta J. Economou-Zavlanos, Armando Bedoya, Monica Agrawal, Raj M. Ratwani, Eric G. Poon, Michael J. Pencina, Kathryn I. Pollak, Chuan Hong
2025 J jnl
Application of unified health large language model evaluation framework to In-Basket message replies: bridging qualitative and quantitative assessments.
J. Am. Medical Informatics Assoc.
Chuan Hong, Anand Chowdhury, Anthony D. Sorrentino, Haoyuan Wang, Monica Agrawal, Armando Bedoya, Sophia Bessias, Nicoleta J. Economou-Zavlanos, Ian Wong, Christian Pean, Fan Li, Kathryn I. Pollak, Eric G. Poon, Michael J. Pencina
2025 J jnl
FairPOT: Balancing AUC Performance and Fairness with Proportional Optimal Transport.
CoRR
Pengxi Liu, Yi Shen, Matthew M. Engelhard, Benjamin Alan Goldstein, Michael J. Pencina, Nicoleta J. Economou-Zavlanos, Michael M. Zavlanos
2025 J jnl
Group Distributionally Robust Machine Learning under Group Level Distributional Uncertainty.
CoRR
Xenia Konti, Yi Shen, Zifan Wang, Karl Henrik Johansson, Michael J. Pencina, Nicoleta J. Economou-Zavlanos, Michael M. Zavlanos
2024 — conf
Distributionally Robust Clustered Federated Learning: A Case Study in Healthcare.
CDC
Xenia Konti, Hans Riess, Manos Giannopoulos, Yi Shen, Michael J. Pencina, Nicoleta J. Economou-Zavlanos, Michael M. Zavlanos
2024 J jnl
Distributionally Robust Clustered Federated Learning: A Case Study in Healthcare.
CoRR
Xenia Konti, Hans Riess, Manos Giannopoulos, Yi Shen, Michael J. Pencina, Nicoleta J. Economou-Zavlanos, Michael M. Zavlanos
2024 J jnl
Translating ethical and quality principles for the effective, safe and fair development, deployment and use of artificial intelligence technologies in healthcare.
J. Am. Medical Informatics Assoc.
Nicoleta J. Economou-Zavlanos, Sophia Bessias, Michael P. Cary, Armando Bedoya, Benjamin Goldstein, John Eric Jelovsek, Cara O'Brien, Nancy Walden, Matthew Elmore, Amanda B. Parrish, Scott Elengold, Kay S. Lytle, Suresh Balu, Michael E. Lipkin, Afreen Idris Shariff, Michael Gao, David Leverenz, Ricardo Henao, David Y. Ming, David M. Gallagher, Michael J. Pencina, Eric G. Poon
2023 J jnl
Implementing quality management systems to close the AI translation gap and facilitate safe, ethical, and effective health AI solutions.
npj Digit. Medicine
Shauna M. Overgaard, Megan G. Graham, Tracey Brereton, Michael J. Pencina, John D. Halamka, David E. Vidal, Nicoleta J. Economou-Zavlanos
2022 J jnl
A framework for the oversight and local deployment of safe and high-quality prediction models.
J. Am. Medical Informatics Assoc.
Armando Bedoya, Nicoleta J. Economou-Zavlanos, Benjamin Alan Goldstein, Allison Young, John Eric Jelovsek, Cara O'Brien, Amanda B. Parrish, Scott Elengold, Kay Lytle, Suresh Balu, Erich Huang, Eric G. Poon, Michael J. Pencina