Bunker view: limited-range head-motion-parallax visualization for complex data sets. - Andrei State; Suresh Balu; Henry Fuchs (VBC, 1994)

Barriers to Achieving Economies of Scale in Analysis of EHR Data. - Mark P. Sendak; Suresh Balu; Kevin A. Schulman (Appl. Clin. Inform., 2017)

"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 (FAT*, 2020)

The Project Baseline Health Study: a step towards a broader mission to map human health. - Kristine Arges; Themistocles L. Assimes; Vikram Bajaj; Suresh Balu; Mustafa R. Bashir; Laura Beskow; Rosalia Blanco; Robert M. Califf; Paul Campbell; Larry Carin; Victoria Christian; Scott Cousins; et al. (npj Digit. Medicine, 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)

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)

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)

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; et al. (MLHC, 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; et al. (J. Am. Medical Informatics Assoc., 2022)

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; et al. (FAccT, 2023)

Editorial: Surfacing best practices for AI software development and integration in healthcare. - Mark P. Sendak; David E. Vidal; Sylvia Trujillo; Karandeep Singh; Xiaoxuan Liu; Suresh Balu (Frontiers Digit. Health, 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, 2023)

Enabling collaborative governance of medical AI. - W. Nicholson Price; Mark P. Sendak; Suresh Balu; Karandeep Singh (Nat. Mac. Intell., 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., 2023)

Strengthening the use of artificial intelligence within healthcare delivery organizations: balancing regulatory compliance and patient safety. - Mark P. Sendak; Vincent X. Liu; Ashley Beecy; David E. Vidal; Keo Shaw; Mark Lifson; Danny Tobey; Alexandra Valladares; Brenna Loufek; Murtaza Mogri; Suresh Balu (J. Am. Medical Informatics Assoc., 2024)

The algorithm journey map: a tangible approach to implementing AI solutions in healthcare. - William Boag; Alifia Hasan; Jee Young Kim; Mike Revoir; Marshall Nichols; William Ratliff; Michael Gao; Shira Zilberstein; Zainab Samad; Zahra Hoodbhoy; Mushyada Ali; Nida Saddaf Khan; et al. (npj Digit. Medicine, 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 001; John Eric Jelovsek; Cara O'Brien; Nancy Walden; Matthew Elmore; Amanda B. Parrish; Scott Elengold; Kay S. Lytle; et al. (J. Am. Medical Informatics Assoc., 2024)

Regulation of artificial intelligence in healthcare: Clinical Laboratory Improvement Amendments (CLIA) as a model. - Brian R. Jackson; Mark P. Sendak; Anthony Solomonides; Suresh Balu; Dean F. Sittig (J. Am. Medical Informatics Assoc., 2025)

Aligning AI principles and healthcare delivery organization best practices to navigate the shifting regulatory landscape. - Alifia Hasan; Noah Prizant; Jee Young Kim; Shreya Rao; David E. Vidal; Keo Shaw; Danny Tobey; Alexandra Valladares; Shira Zilberstein; Manesh Patel; Suresh Balu; Mark P. Sendak; et al. (npj Digit. Medicine, 2025)

Evaluating sepsis watch generalizability through multisite external validation of a sepsis machine learning model. - Bruno Valan; Anusha Prakash 003; William Ratliff; Michael Gao; Srikanth Muthya; Ajit Thomas; Jennifer L. Eaton; Matt Gardner 004; Marshall Nichols; Mike Revoir; Dustin Tart; Cara O'Brien; et al. (npj Digit. Medicine, 2025)