Modelling Risk of Cardio-Respiratory Instability as a Heterogeneous Process. - Lujie Chen; Artur Dubrawski; Marilyn Hravnak; Gilles Clermont; Michael R. Pinsky (AMIA, 2015)

Real-time visual analysis of microvascular blood flow for critical care. - Chao Liu 064; Hernando Gomez; Srinivasa G. Narasimhan; Artur Dubrawski; Michael R. Pinsky; Brian Zuckerbraun (CVPR, 2015)

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 (AMIA, 2016)

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 (AMIA, 2017)

Semi-Supervised Prediction of Comorbid Rare Conditions Using Medical Claims Data. - Chirag Nagpal; Kyle Miller 001; Tiffany Pellathy; Marilyn Hravnak; Gilles Clermont; Michael R. Pinsky; Artur Dubrawski (ICDM Workshops, 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)

Dynamically Personalized Detection of Hemorrhage. - Chirag Nagpal; Xinyu Li; Michael R. Pinsky; Artur Dubrawski (MLHC, 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)

Estimating Surgical Blood Loss Volume Using Continuously Monitored Vital Signs. - Yang Chen; Chengcheng Hong; Michael R. Pinsky; Ting Ma; Gilles Clermont (Sensors, 2020)

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 (ISMR, 2021)

Understanding Clinical Collaborations Through Federated Classifier Selection. - Sebastian Caldas; Joo Heung Yoon; Michael R. Pinsky; Gilles Clermont; Artur Dubrawski (MLHC, 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; et al. (J. Am. Medical Informatics Assoc., 2021)

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 (AMIA, 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 S. Al-Zaiti; Marilyn Hravnak (Int. J. Medical Informatics, 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; et al. (J. Am. Medical Informatics Assoc., 2022)

Automated Assessment of Cardiovascular Sufficiency Using Non-Invasive Physiological Data. - Xinyu Li; Michael R. Pinsky; Artur Dubrawski (Sensors, 2022)

Intelligent Clinical Decision Support. - Michael R. Pinsky; Artur Dubrawski; Gilles Clermont (Sensors, 2022)

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 (AAAI, 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)

Automatic Cannulation of Femoral Vessels in a Porcine Shock Model. - Nico Zevallos; Cecilia G. Morales; Andrew L. Orekhov; Tejas Rane; Hernando Gomez; Francis X. Guyette; Michael R. Pinsky; John M. Galeotti; Artur Dubrawski; Howie Choset (CoRR, 2025)