Mark P. Sendak

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 20

Top Topics

Gaussian Process

Top Venues

J. Am. Medical Informatics Assoc.

npj Digit. Medicine

Publications

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
Strengthening the use of artificial intelligence within healthcare delivery organizations: balancing regulatory compliance and patient safety. J. Am. Medical Informatics Assoc. 31 (7) (2024)
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
The algorithm journey map: a tangible approach to implementing AI solutions in healthcare. npj Digit. Medicine 7 (1) (2024)
Sahil Sandhu, Mark P. Sendak, William Ratliff, William Knechtle, William J. Fulkerson, Suresh Balu
Accelerating health system innovation: principles and practices from the Duke Institute for Health Innovation. Patterns 4 (4) (2023)
Mark P. Sendak, David Vidal, Sylvia Trujillo, Karandeep Singh, Xiaoxuan Liu, Suresh Balu
Editorial: Surfacing best practices for AI software development and integration in healthcare. Frontiers Digit. Health 5 (2023)
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
Organizational Governance of Emerging Technologies: AI Adoption in Healthcare. FAccT (2023)
W. Nicholson Price, Mark P. Sendak, Suresh Balu, Karandeep Singh
Enabling collaborative governance of medical AI. Nat. Mac. Intell. 5 (8) (2023)
Sharon E. Davis, Michael E. Matheny, Suresh Balu, Mark P. Sendak
A framework for understanding label leakage in machine learning for health care. J. Am. Medical Informatics Assoc. 31 (1) (2023)
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
Organizational Governance of Emerging Technologies: AI Adoption in Healthcare. CoRR (2023)
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
Development and Validation of ML-DQA - a Machine Learning Data Quality Assurance Framework for Healthcare. MLHC (2022)
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
Development and Validation of ML-DQA - a Machine Learning Data Quality Assurance Framework for Healthcare. CoRR (2022)
Aman Kansal, Michael Gao, Suresh Balu, Marshall Nichols, Kristin Corey, Sehj Kashyap, Mark P. Sendak
Impact of diagnosis code grouping method on clinical prediction model performance: A multi-site retrospective observational study. Int. J. Medical Informatics 151 (2021)
Mark P. Sendak, Michael Gao, William Ratliff, Marshall Nichols, Armando Bedoya, Cara O'Brien, Suresh Balu
Looking for clinician involvement under the wrong lamp post: The need for collaboration measures. J. Am. Medical Informatics Assoc. 28 (11) (2021)
Mark P. Sendak, Michael Gao, Nathan Brajer, Suresh Balu
Presenting machine learning model information to clinical end users with model facts labels. npj Digit. Medicine 3 (2020)
Mark P. Sendak, Madeleine Clare Elish, Michael Gao, Joseph Futoma, William Ratliff, Marshall Nichols, Armando Bedoya, Suresh Balu, Cara O'Brien
"The human body is a black box": supporting clinical decision-making with deep learning. FAT* (2020)
Yindalon Aphinyanaphongs, Jonathan Wilt, Corey J. Chivers, Mark P. Sendak
Translating, Implementing, Deploying, and Evaluating Clinical Interventions Using Machine Learning Based Predictive Models: Illustrative Case Studies. AMIA (2019)
Mark P. Sendak, Madeleine Clare Elish, Michael Gao, Joseph Futoma, William Ratliff, Marshall Nichols, Armando Bedoya, Suresh Balu, Cara O'Brien
"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning. CoRR (2019)
Joseph Futoma, Sanjay Hariharan, Katherine A. Heller, Mark P. Sendak, Nathan Brajer, Meredith Clement, Armando Bedoya, Cara O'Brien
An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection. MLHC (2017)
Mark P. Sendak, Suresh Balu, Kevin A. Schulman
Barriers to Achieving Economies of Scale in Analysis of EHR Data. Appl. Clin. Inform. 8 (03) (2017)
Joseph Futoma, Mark P. Sendak, Blake Cameron, Katherine A. Heller
Scalable Joint Modeling of Longitudinal and Point Process Data for Disease Trajectory Prediction and Improving Management of Chronic Kidney Disease. UAI (2016)
Joseph Futoma, Mark P. Sendak, Blake Cameron, Katherine A. Heller
Predicting Disease Progression with a Model for Multivariate Longitudinal Clinical Data. MLHC (2016)