Michael R. Pinsky

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 19

Top Topics

Physiological Data

Decision Support

Weakly Supervised

Top Venues

J. Am. Medical Informatics Assoc.

Publications

Ryan Schuerkamp, Xinyu Li, Brian Kunzer, Leonard S. Weiss, Hernando Gómez, Francis X. Guyette, Michael R. Pinsky, Artur Dubrawski
Adapting Animal Models to Assess Sufficiency of Fluid Resuscitation in Humans (Student Abstract). AAAI (2024)
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
Parsimonious waveform-derived features consisting of pulse arrival time and heart rate variability predicts the onset of septic shock. Biomed. Signal Process. Control. 92 (2024)
Xinyu Li, Michael R. Pinsky, Artur Dubrawski
Automated Assessment of Cardiovascular Sufficiency Using Non-Invasive Physiological Data. Sensors 22 (3) (2022)
Arnab Dey, Mononito Goswami, Joo Heung Yoon, Gilles Clermont, Michael R. Pinsky, Marilyn Hravnak, Artur Dubrawski
Weakly Supervised Classification of Vital Sign Alerts as Real or Artifact. AMIA (2022)
Stephanie Helman, Martha Ann Terry, Tiffany Pellathy, Andrew Williams, Artur Dubrawski, Gilles Clermont, Michael R. Pinsky, Salah Al-Zaiti, Marilyn Hravnak
Engaging clinicians early during the development of a graphical user display of an intelligent alerting system at the bedside. Int. J. Medical Informatics 159 (2022)
Arnab Dey, Mononito Goswami, Joo Heung Yoon, Gilles Clermont, Michael R. Pinsky, Marilyn Hravnak, Artur Dubrawski
Weakly Supervised Classification of Vital Sign Alerts as Real or Artifact. CoRR (2022)
Michael R. Pinsky, Artur Dubrawski, Gilles Clermont
Intelligent Clinical Decision Support. Sensors 22 (4) (2022)
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, E. 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
Computer clinical decision support that automates personalized clinical care: a challenging but needed healthcare delivery strategy. J. Am. Medical Informatics Assoc. 30 (1) (2022)
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, E. Wesley Ely, Ognjen Gajic, Brian Pickering, David A. Schoenfeld, Irena Tocino, Russell S. Gonnering, Peter J. Pronovost, Lucy A. Savitz, Didier Dreyfuss, Arthur S. Slutsky, James D. Crapo, Derek Angus, Michael R. Pinsky, Brent James, Donald M. Berwick
Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions. J. Am. Medical Informatics Assoc. 28 (6) (2021)
Nico Zevallos, Evan Harber, Abhimanyu, Kirtan Patel, Yizhu Gu, Kenny Sladick, Francis Guyette, Leonard Weiss, Michael R. Pinsky, Hernando Gomez, John M. Galeotti, Howie Choset
Toward Robotically Automated Femoral Vascular Access. ISMR (2021)
Sebastian Caldas, Joo Heung Yoon, Michael R. Pinsky, Gilles Clermont, Artur Dubrawski
Understanding Clinical Collaborations Through Federated Classifier Selection. MLHC (2021)
Nico Zevallos, Evan Harber, Abhimanyu, Kirtan Patel, Yizhu Gu, Kenny Sladick, Francis Guyette, Leonard Weiss, Michael R. Pinsky, Hernando Gomez, John M. Galeotti, Howie Choset
Toward Robotically Automated Femoral Vascular Access. CoRR (2021)
Yang Chen, Chengcheng Hong, Michael R. Pinsky, Ting Ma, Gilles Clermont
Estimating Surgical Blood Loss Volume Using Continuously Monitored Vital Signs. Sensors 20 (22) (2020)
Chirag Nagpal, Xinyu Li, Michael R. Pinsky, Artur Dubrawski
Dynamically Personalized Detection of Hemorrhage. MLHC (2019)
Chufan Gao, Fabian Falck, Mononito Goswami, Anthony Wertz, Michael R. Pinsky, Artur Dubrawski
Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning. CoRR (2019)
Chirag Nagpal, Kyle Miller, Tiffany Pellathy, Marilyn Hravnak, Gilles Clermont, Michael R. Pinsky, Artur Dubrawski
Semi-Supervised Prediction of Comorbid Rare Conditions Using Medical Claims Data. ICDM Workshops (2017)
Mathieu Guillame-Bert, Artur Dubrawski, Donghan Wang, Marilyn Hravnak, Gilles Clermont, Michael R. Pinsky
Learning temporal rules to forecast instability in continuously monitored patients. J. Am. Medical Informatics Assoc. 24 (1) (2017)
Xuan Wang, Lujie Chen, Marilyn Hravnak, Gilles Clermont, Michael R. Pinsky, Artur Dubrawski
Utility of Anti-hypertension Prescription Orders in Predicting Future Hypertensive Instability Events. AMIA (2017)
Lujie Chen, Gilles Clermont, Marilyn Hravnak, Michael R. Pinsky, Artur Dubrawski
A Framework for Visual Tracking of Risk and its Drivers in Monitoring Patients Susceptible for Cardiorespiratory Instability. AMIA (2016)
Chao Liu, Hernando Gomez, Srinivasa G. Narasimhan, Artur Dubrawski, Michael R. Pinsky, Brian Zuckerbraun
Real-time visual analysis of microvascular blood flow for critical care. CVPR (2015)
Lujie Chen, Artur Dubrawski, Marilyn Hravnak, Gilles Clermont, Michael R. Pinsky
Modelling Risk of Cardio-Respiratory Instability as a Heterogeneous Process. AMIA (2015)