Michael R. Pinsky

According to our database, Michael R. Pinsky authored at least 19 papers between 2015 and 2024.

Collaborative distances:

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

2024

Parsimonious waveform-derived features consisting of pulse arrival time and heart rate variability predicts the onset of septic shock.

Moamen Soliman, Curtis Marshall, Jacob P. Kimball, Tilendra Choudhary, Gilles Clermont, Michael R. Pinsky, Timothy G. Buchman, Craig M. Coopersmith, Omer T. Inan, Rishikesan Kamaleswaran

Biomed. Signal Process. Control., 2024

Adapting Animal Models to Assess Sufficiency of Fluid Resuscitation in Humans (Student Abstract).

Ryan Schuerkamp, Xinyu Li, Brian Kunzer, Leonard S. Weiss, Hernando Gómez, Francis X. Guyette, Michael R. Pinsky, Artur Dubrawski

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022

Intelligent Clinical Decision Support.

Michael R. Pinsky, Artur Dubrawski, Gilles Clermont

Sensors, 2022

Automated Assessment of Cardiovascular Sufficiency Using Non-Invasive Physiological Data.

Xinyu Li, Michael R. Pinsky, Artur Dubrawski

Sensors, 2022

Computer clinical decision support that automates personalized clinical care: a challenging but needed healthcare delivery strategy.

Alan H. Morris, Christopher Horvat, Brian Stagg, David W. Grainger, Michael Lanspa, James Orme, Terry P. Clemmer, Lindell K. Weaver, Frank Thomas, Colin K. Grissom, Ellie Hirshberg, Thomas D. East, Carrie Jane Wallace, Michael P. Young, Dean F. Sittig, Mary Suchyta, James E. Pearl, Antinio Pesenti, Michela Bombino, Eduardo Beck, Katherine A. Sward, Charlene R. Weir, Shobha Phansalkar, Gordon R. Bernard, B. Taylor Thompson, Roy Brower, Jonathon D. Truwit, Jay S. Steingrub, R. Duncan Hite, Douglas F. Willson, Jerry J. Zimmerman, Vinay Nadkarni, Adrienne G. Randolph, Martha A. Q. Curley, Christopher J. L. Newth, Jacques Lacroix, Michael S. D. Agus, Kang Hoe Lee, Bennett P. deBoisblanc, Frederick Alan Moore, R. Scott Evans, Dean K. Sorenson, Anthony Wong, Michael V. Boland, Willard H. Dere, Alan S. Crandall, Julio C. Facelli, Stanley M. Huff, Peter J. Haug, Ulrike Pielmeier, Stephen Edward Rees, Dan S. Karbing, Steen Andreassen, Eddy Fan, Roberta M. Goldring, Kenneth I Berger, Beno W. Oppenheimer, Eugene Wesley Ely, Brian W. Pickering, David A. Schoenfeld, Irena Tocino, Russell S. Gonnering, Peter J. Pronovost, Lucy A. Savitz, Didier Dreyfuss, Arthur S. Slutsky, James D. Crapo, Michael R. Pinsky, Brent James, Donald M. Berwick

J. Am. Medical Informatics Assoc., 2022

Engaging clinicians early during the development of a graphical user display of an intelligent alerting system at the bedside.

Stephanie Helman, Martha Ann Terry, Tiffany Pellathy, Andrew Williams, Artur Dubrawski, Gilles Clermont, Michael R. Pinsky, Salah Al-Zaiti, Marilyn Hravnak

Int. J. Medical Informatics, 2022

Weakly Supervised Classification of Vital Sign Alerts as Real or Artifact.

Arnab Dey, Mononito Goswami, Joo Heung Yoon, Gilles Clermont, Michael R. Pinsky, Marilyn Hravnak, Artur Dubrawski

Proceedings of the AMIA 2022, 2022

2021

Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions.

Alan H. Morris, Brian Stagg, Michael Lanspa, James Orme, Terry P. Clemmer, Lindell K. Weaver, Frank Thomas, Colin K. Grissom, Ellie Hirshberg, Thomas D. East, Carrie Jane Wallace, Michael P. Young, Dean F. Sittig, Antonio Pesenti, Michela Bombino, Eduardo Beck, Katherine A. Sward, Charlene R. Weir, Shobha S. Phansalkar, Gordon R. Bernard, B. Taylor Thompson, Roy Brower, Jonathon D. Truwit, Jay S. Steingrub, R. Duncan Hite, Douglas F. Willson, Jerry J. Zimmerman, Vinay M. Nadkarni, Adrienne Randolph, Martha A. Q. Curley, Christopher J. L. Newth, Jacques Lacroix, Michael S. D. Agus, Kang H. Lee, Bennett P. deBoisblanc, R. Scott Evans, Dean K. Sorenson, Anthony Wong, Michael V. Boland, David W. Grainger, Willard H. Dere, Alan S. Crandall, Julio C. Facelli, Stanley M. Huff, Peter J. Haug, Ulrike Pielmeier, Stephen Edward Rees, Dan S. Karbing, Steen Andreassen, Eddy Fan, Roberta M. Goldring, Kenneth I. Berger, Beno W. Oppenheimer, Eugene Wesley Ely, Ognjen Gajic, Brian W. Pickering, David A. Schoenfeld, Irena Tocino, Russell S. Gonnering, Peter J. Pronovost, Lucy A. Savitz, Didier Dreyfuss, Arthur S. Slutsky, James D. Crapo, Derek C. Angus, Michael R. Pinsky, Brent James, Donald M. Berwick

J. Am. Medical Informatics Assoc., 2021

Understanding Clinical Collaborations Through Federated Classifier Selection.

Sebastian Caldas, Joo Heung Yoon, Michael R. Pinsky, Gilles Clermont, Artur Dubrawski

Proceedings of the Machine Learning for Healthcare Conference, 2021

Toward Robotically Automated Femoral Vascular Access.

Nico Zevallos, Evan Harber, Abhimanyu, Kirtan Patel, Yizhu Gu, Kenny Sladick, Francis Guyette, Leonard S. Weiss, Michael R. Pinsky, Hernando Gomez, John M. Galeotti, Howie Choset

Proceedings of the International Symposium on Medical Robotics, 2021

2020

Estimating Surgical Blood Loss Volume Using Continuously Monitored Vital Signs.

Yang Chen, Chengcheng Hong, Michael R. Pinsky, Ting Ma, Gilles Clermont

Sensors, 2020

2019

Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning.

Chufan Gao, Fabian Falck, Mononito Goswami, Anthony Wertz, Michael R. Pinsky, Artur Dubrawski

CoRR, 2019

Dynamically Personalized Detection of Hemorrhage.

Chirag Nagpal, Xinyu Li, Michael R. Pinsky, Artur Dubrawski

Proceedings of the Machine Learning for Healthcare Conference, 2019

2017

Learning temporal rules to forecast instability in continuously monitored patients.

Mathieu Guillame-Bert, Artur Dubrawski, Donghan Wang, Marilyn Hravnak, Gilles Clermont, Michael R. Pinsky

J. Am. Medical Informatics Assoc., 2017

Semi-Supervised Prediction of Comorbid Rare Conditions Using Medical Claims Data.

Chirag Nagpal, Kyle Miller, Tiffany Pellathy, Marilyn Hravnak, Gilles Clermont, Michael R. Pinsky, Artur Dubrawski

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Utility of Anti-hypertension Prescription Orders in Predicting Future Hypertensive Instability Events.

Xuan Wang, Lujie Chen, Marilyn Hravnak, Gilles Clermont, Michael R. Pinsky, Artur Dubrawski

Proceedings of the AMIA 2017, 2017

2016

A Framework for Visual Tracking of Risk and its Drivers in Monitoring Patients Susceptible for Cardiorespiratory Instability.

Lujie Chen, Gilles Clermont, Marilyn Hravnak, Michael R. Pinsky, Artur Dubrawski

Proceedings of the AMIA 2016, 2016

2015

Real-time visual analysis of microvascular blood flow for critical care.

Chao Liu, Hernando Gomez, Srinivasa G. Narasimhan, Artur Dubrawski, Michael R. Pinsky, Brian Zuckerbraun

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Modelling Risk of Cardio-Respiratory Instability as a Heterogeneous Process.

Lujie Chen, Artur Dubrawski, Marilyn Hravnak, Gilles Clermont, Michael R. Pinsky

Proceedings of the AMIA 2015, 2015