Suresh Balu

According to our database, Suresh Balu authored at least 15 papers between 1994 and 2024.

Collaborative distances:

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

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

2023

A framework for understanding label leakage in machine learning for health care.

Sharon E. Davis, Michael E. Matheny, Suresh Balu, Mark P. Sendak

J. Am. Medical Informatics Assoc., December, 2023

Enabling collaborative governance of medical AI.

W. Nicholson Price, Mark P. Sendak, Suresh Balu, Karandeep Singh

Nat. Mac. Intell., August, 2023

Accelerating health system innovation: principles and practices from the Duke Institute for Health Innovation.

Sahil Sandhu, Mark P. Sendak, William Ratliff, William Knechtle, William J. Fulkerson, Suresh Balu

Patterns, April, 2023

Editorial: Surfacing best practices for AI software development and integration in healthcare.

Mark P. Sendak, David Vidal, Sylvia Trujillo, Karandeep Singh, Xiaoxuan Liu, Suresh Balu

Frontiers Digit. Health, March, 2023

Organizational Governance of Emerging Technologies: AI Adoption in Healthcare.

Jee Young Kim, William Boag, Freya Gulamali, Alifia Hasan, Henry David Jeffry Hogg, Mark Lifson, Deirdre K. Mulligan, Manesh Patel, Inioluwa Deborah Raji, Ajai Sehgal, Keo Shaw, Danny Tobey, Alexandra Valladares, David Vidal, Suresh Balu, Mark P. Sendak

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 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

Development and Validation of ML-DQA - a Machine Learning Data Quality Assurance Framework for Healthcare.

Mark P. Sendak, Gaurav Sirdeshmukh, Timothy Ochoa, Hayley Premo, Linda Tang, Kira Niederhoffer, Sarah Reed, Kaivalya Deshpande, Emily Sterrett, Melissa Bauer, Laurie Snyder, Afreen Shariff, David Whellan, Jeffrey Riggio, David Gaieski, Kristin Corey, Megan Richards, Michael Gao, Marshall Nichols, Bradley Heintze, William Knechtle, William Ratliff, Suresh Balu

Proceedings of the Machine Learning for Healthcare Conference, 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

Impact of diagnosis code grouping method on clinical prediction model performance: A multi-site retrospective observational study.

Aman Kansal, Michael Gao, Suresh Balu, Marshall Nichols, Kristin Corey, Sehj Kashyap, Mark P. Sendak

Int. J. Medical Informatics, 2021

2020

Presenting machine learning model information to clinical end users with model facts labels.

Mark P. Sendak, Michael Gao, Nathan Brajer, Suresh Balu

npj Digit. Medicine, 2020

The Project Baseline Health Study: a step towards a broader mission to map human health.

Kristine Arges, Themistocles Assimes, Vikram Bajaj, Suresh Balu, Mustafa R. Bashir, Laura Beskow, Rosalia Blanco, Robert M. Califf, Paul Campbell, Larry Carin, Victoria Christian, Scott Cousins, Millie Das, Marie Dockery, Pamela S. Douglas, Ashley Dunham, Julie Eckstrand, Dominik Fleischmann, Emily Ford, Elizabeth Fraulo, John French, Sanjiv S. Gambhir, Geoffrey S. Ginsburg, Robert C. Green, Francois Haddad, Adrian Hernandez, John Hernandez, Erich S. Huang, Glenn Jaffe, Daniel King, Lynne H. Koweek, Curtis P. Langlotz, Yaping J. Liao, Kenneth W. Mahaffey, Kelly Marcom, William J. Marks, David Maron, Reid McCabe, Shannon McCall, Rebecca McCue, Jessica Mega, David Miller, Lawrence H. Muhlbaier, Rajan Munshi, L. Kristin Newby, Ezra Pak-Harvey, Bray Patrick-Lake, Michael Pencina, Eric D. Peterson, Fátima Rodriguez, Scarlet Shore, Svati Shah, Steven Shipes, George Sledge, Susie Spielman, Ryan Spitler, Terry Schaack, Geeta Swamy, Martin J. Willemink, Charlene A. Wong

npj Digit. Medicine, 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

Barriers to Achieving Economies of Scale in Analysis of EHR Data.

Mark P. Sendak, Suresh Balu, Kevin A. Schulman

Appl. Clin. Inform., 2017

1994

Bunker view: limited-range head-motion-parallax visualization for complex data sets.

Andrei State, Suresh Balu, Henry Fuchs

Proceedings of the Visualization in Biomedical Computing 1994, 1994