Armando Bedoya

According to our database, Armando Bedoya authored at least 10 papers between 2017 and 2026.

Collaborative distances:

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

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

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

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

Incorporating informatively collected laboratory data from EHR in clinical prediction models.

Minghui Sun, Matthew M. Engelhard, Armando Bedoya, Benjamin Goldstein

BMC Medical Informatics Decis. Mak., December, 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

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

2021

Looking for clinician involvement under the wrong lamp post: The need for collaboration measures.

Mark P. Sendak, Michael Gao, William Ratliff, Marshall Nichols, Armando Bedoya, Cara O'Brien, Suresh Balu

J. Am. Medical Informatics Assoc., 2021

2020

"The human body is a black box": supporting clinical decision-making with deep learning.

Mark P. Sendak, Madeleine Clare Elish, Michael Gao, Joseph Futoma, William Ratliff, Marshall Nichols, Armando Bedoya, Suresh Balu, Cara O'Brien

Proceedings of the FAT* '20: Conference on Fairness, 2020

2017

An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection.

Joseph Futoma, Sanjay Hariharan, Katherine A. Heller, Mark P. Sendak, Nathan Brajer, Meredith Clement, Armando Bedoya, Cara O'Brien

Proceedings of the Machine Learning for Healthcare Conference, 2017