Nicoleta J. Economou-Zavlanos

According to our database, Nicoleta J. Economou-Zavlanos authored at least 11 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

A federated learning framework for ethical dynamic treatment allocation across heterogeneous hospitals.

Xenia Konti, Nicoleta J. Economou-Zavlanos, Yi Shen, Giorgos Stamou, Armando Bedoya, Michael J. Pencina, Chuan Hong, Michael M. Zavlanos

J. Biomed. Informatics, 2026

Bridging the governance gap in health artificial intelligence: integrating nursing perspectives into the National Academy of Medicine Artificial Intelligence Code of Conduct.

Michael P. Cary, Regina G. Russell, Christina Silcox, Kay S. Lytle, Lisa Soleymani Lehmann, Maia Hightower, Nicoleta J. Economou-Zavlanos, Vincent Guilamo-Ramos

J. Am. Medical Informatics Assoc., 2026

2025

An Agentic AI System for Multi-Framework Communication Coding.

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

CoRR, December, 2025

Group Distributionally Robust Machine Learning under Group Level Distributional Uncertainty.

Xenia Konti, Yi Shen, Zifan Wang, Karl Henrik Johansson, Michael J. Pencina, Nicoleta J. Economou-Zavlanos, Michael M. Zavlanos

CoRR, September, 2025

FairPOT: Balancing AUC Performance and Fairness with Proportional Optimal Transport.

Pengxi Liu, Yi Shen, Matthew M. Engelhard, Benjamin Alan Goldstein, Michael J. Pencina, Nicoleta J. Economou-Zavlanos, Michael M. Zavlanos

CoRR, August, 2025

An evaluation framework for ambient digital scribing tools in clinical applications.

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

npj Digit. Medicine, 2025

Application of unified health large language model evaluation framework to In-Basket message replies: bridging qualitative and quantitative assessments.

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

J. Am. Medical Informatics Assoc., 2025

2024

Translating ethical and quality principles for the effective, safe and fair development, deployment and use of artificial intelligence technologies in healthcare.

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

J. Am. Medical Informatics Assoc., February, 2024

Distributionally Robust Clustered Federated Learning: A Case Study in Healthcare.

Xenia Konti, Hans Riess, Manos Giannopoulos, Yi Shen, Michael J. Pencina, Nicoleta J. Economou-Zavlanos, Michael M. Zavlanos

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023

Implementing quality management systems to close the AI translation gap and facilitate safe, ethical, and effective health AI solutions.

Shauna M. Overgaard, Megan G. Graham, Tracey Brereton, Michael J. Pencina, John D. Halamka, David E. Vidal, Nicoleta J. Economou-Zavlanos

npj Digit. Medicine, 2023

2022

A framework for the oversight and local deployment of safe and high-quality prediction models.

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

J. Am. Medical Informatics Assoc., 2022