Mark P. Sendak

29 papers A 1Misc 1Journal 20Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
AI as an intervention: improving clinical outcomes relies on a causal approach to AI development and validation.
J. Am. Medical Informatics Assoc.
Shalmali Joshi, Iñigo Urteaga, Wouter A. C. van Amsterdam, George Hripcsak, Pierre A. Elias, Benjamin R. C. Amor, Noémie Elhadad, James C. Fackler, Mark P. Sendak, Jenna Wiens, Kaivalya Deshpande, Yoav Wald, Madalina Fiterau, Zachary C. Lipton, Daniel Malinsky, Madhur Nayan, Hongseok Namkoong, Soojin Park, Julia E. Vogt, Rajesh Ranganath
2025 J jnl
Aligning AI principles and healthcare delivery organization best practices to navigate the shifting regulatory landscape.
npj Digit. Medicine
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, Mark Lifson
2025 J jnl
Bridging Prediction and Intervention Problems in Social Systems.
CoRR
Lydia T. Liu, Inioluwa Deborah Raji, Angela Zhou, Luke Guerdan, Jessica Hullman, Daniel Malinsky, Bryan Wilder, Simone Zhang, Hammaad Adam, Amanda Coston, Benjamin Laufer, Ezinne Nwankwo, Michael Zanger-Tishler, Eli Ben-Michael, Solon Barocas, Avi Feller, Marissa Gerchick, Talia Gillis, Shion Guha, Daniel E. Ho, Lily Hu, Kosuke Imai, Sayash Kapoor, Joshua Loftus, Razieh Nabi, Arvind Narayanan, Ben Recht, Juan Carlos Perdomo, Matthew J. Salganik, Mark P. Sendak, Alexander Tolbert, Berk Ustun, Suresh Venkatasubramanian, Angelina Wang, Ashia Wilson
2025 J jnl
Establishing organizational AI governance in healthcare: a case study in Canada.
npj Digit. Medicine
Jee Young Kim, Alifia Hasan, Jacqueline Kueper, Terence Tang, Chris Hayes, Benjamin Fine, Suresh Balu, Mark P. Sendak
2025 J jnl
Evaluating sepsis watch generalizability through multisite external validation of a sepsis machine learning model.
npj Digit. Medicine
Bruno Valan, Anusha Prakash, William Ratliff, Michael Gao, Srikanth Muthya, Ajit Thomas, Jennifer L. Eaton, Matt Gardner, Marshall Nichols, Mike Revoir, Dustin Tart, Cara O'Brien, Manesh Patel, Suresh Balu, Mark P. Sendak
2025 J jnl
Regulation of artificial intelligence in healthcare: Clinical Laboratory Improvement Amendments (CLIA) as a model.
J. Am. Medical Informatics Assoc.
Brian R. Jackson, Mark P. Sendak, Anthony Solomonides, Suresh Balu, Dean F. Sittig
2024 J jnl
From pre-test and post-test probabilities to medical decision making.
BMC Medical Informatics Decis. Mak.
Michelle Pistner Nixon, Farhani Momotaz, Claire Smith, Jeffrey S. Smith, Mark P. Sendak, Christopher Polage, Justin D. Silverman
2024 J jnl
Strengthening the use of artificial intelligence within healthcare delivery organizations: balancing regulatory compliance and patient safety.
J. Am. Medical Informatics Assoc.
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
2024 J jnl
The algorithm journey map: a tangible approach to implementing AI solutions in healthcare.
npj Digit. Medicine
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, Manesh Patel, Suresh Balu, Mark P. Sendak
2023 J jnl
A framework for understanding label leakage in machine learning for health care.
J. Am. Medical Informatics Assoc.
Sharon E. Davis, Michael E. Matheny, Suresh Balu, Mark P. Sendak
2023 J jnl
Accelerating health system innovation: principles and practices from the Duke Institute for Health Innovation.
Patterns
Sahil Sandhu, Mark P. Sendak, William Ratliff, William Knechtle, William J. Fulkerson, Suresh Balu
2023 J jnl
Editorial: Surfacing best practices for AI software development and integration in healthcare.
Frontiers Digit. Health
Mark P. Sendak, David E. Vidal, Sylvia Trujillo, Karandeep Singh, Xiaoxuan Liu, Suresh Balu
2023 J jnl
Enabling collaborative governance of medical AI.
Nat. Mac. Intell.
W. Nicholson Price, Mark P. Sendak, Suresh Balu, Karandeep Singh
2023 — conf
Organizational Governance of Emerging Technologies: AI Adoption in Healthcare.
FAccT
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 E. Vidal, Suresh Balu, Mark P. Sendak
2023 J jnl
Organizational Governance of Emerging Technologies: AI Adoption in Healthcare.
CoRR
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 E. Vidal, Suresh Balu, Mark P. Sendak
2022 — conf
Development and Validation of ML-DQA - a Machine Learning Data Quality Assurance Framework for Healthcare.
MLHC
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
2022 J jnl
Development and Validation of ML-DQA - a Machine Learning Data Quality Assurance Framework for Healthcare.
CoRR
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
2022 — ed.
Proceedings of the Machine Learning for Healthcare Conference, MLHC 2022, 5-6 August 2022, Durham, NC, USA.
MLHC
Zachary C. Lipton, Rajesh Ranganath, Mark P. Sendak, Michael W. Sjoding, Serena Yeung
2021 J jnl
Impact of diagnosis code grouping method on clinical prediction model performance: A multi-site retrospective observational study.
Int. J. Medical Informatics
Aman Kansal, Michael Gao, Suresh Balu, Marshall Nichols, Kristin Corey, Sehj Kashyap, Mark P. Sendak
2021 J jnl
Looking for clinician involvement under the wrong lamp post: The need for collaboration measures.
J. Am. Medical Informatics Assoc.
Mark P. Sendak, Michael Gao, William Ratliff, Marshall Nichols, Armando Bedoya, Cara O'Brien, Suresh Balu
2021 — ed.
Proceedings of the Machine Learning for Healthcare Conference, MLHC 2021, 6-7 August 2021, Virtual Event.
MLHC
Ken Jung, Serena Yeung, Mark P. Sendak, Michael W. Sjoding, Rajesh Ranganath
2020 — conf
"The human body is a black box": supporting clinical decision-making with deep learning.
FAT*
Mark P. Sendak, Madeleine Clare Elish, Michael Gao, Joseph Futoma, William Ratliff, Marshall Nichols, Armando Bedoya, Suresh Balu, Cara O'Brien
2020 J jnl
Presenting machine learning model information to clinical end users with model facts labels.
npj Digit. Medicine
Mark P. Sendak, Michael Gao, Nathan Brajer, Suresh Balu
2019 J jnl
"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning.
CoRR
Mark P. Sendak, Madeleine Clare Elish, Michael Gao, Joseph Futoma, William Ratliff, Marshall Nichols, Armando Bedoya, Suresh Balu, Cara O'Brien
2019 Misc conf
Translating, Implementing, Deploying, and Evaluating Clinical Interventions Using Machine Learning Based Predictive Models: Illustrative Case Studies.
AMIA
Yindalon Aphinyanaphongs, Jonathan K. Wilt, Corey J. Chivers, Mark P. Sendak
2017 — conf
An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection.
MLHC
Joseph Futoma, Sanjay Hariharan, Katherine A. Heller, Mark P. Sendak, Nathan Brajer, Meredith Clement, Armando Bedoya, Cara O'Brien
2017 J jnl
Barriers to Achieving Economies of Scale in Analysis of EHR Data.
Appl. Clin. Inform.
Mark P. Sendak, Suresh Balu, Kevin A. Schulman
2016 — conf
Predicting Disease Progression with a Model for Multivariate Longitudinal Clinical Data.
MLHC
Joseph Futoma, Mark P. Sendak, Blake Cameron, Katherine A. Heller
2016 A conf
Scalable Joint Modeling of Longitudinal and Point Process Data for Disease Trajectory Prediction and Improving Management of Chronic Kidney Disease.
UAI
Joseph Futoma, Mark P. Sendak, Blake Cameron, Katherine A. Heller