A. Assadi

How to validate Machine Learning Models Prior to Deployment: Silent trial protocol for evaluation of real-time models at ICU

Gennady Pekhimenko, S. Tonekaboni, M. McCradden, 2022, CHIL.

Challenges for Cardiopulmonary Resuscitation in Infants and Children With Cardiac Disease in the Perioperative Setting.

P. Laussen, M. Moga, G. MacLaren, 2019, Journal of cardiothoracic and vascular anesthesia.

Rhythm Classification of 12-Lead ECGs Using Deep Neural Networks and Class-Activation Maps for Improved Explainability

D. Eytan, P. Laussen, S. Goodfellow, 2020, 2020 Computing in Cardiology.

Timing errors and temporal uncertainty in clinical databases—A narrative review

D. Eytan, P. Laussen, M. Tracy, 2022, Frontiers in Digital Health.

An integration engineering framework for machine learning in healthcare

Melissa D. McCradden, D. Eytan, P. Laussen, 2022, Frontiers in Digital Health.

Decision-centered design of a clinical decision support system for acute management of pediatric congenital heart disease

M. Ghassemi, P. Laussen, P. Trbovich, 2022, Frontiers in Digital Health.

Effect of clinical decision support systems on emergency medicine physicians' decision-making: A pilot scenario-based simulation study

M. Ghassemi, P. Laussen, A. Assadi, 2022, Frontiers in Pediatrics.

Mixed-methods approach to understanding clinician macrocognition in the design of a clinical decision support tool: a study protocol

P. Laussen, P. Trbovich, A. Assadi, 2020, BMJ Open.

Understanding Clinician Macrocognition to Inform the Design of a Congenital Heart Disease Clinical Decision Support System

P. Laussen, P. Trbovich, A. Assadi, 2022, Frontiers in Cardiovascular Medicine.

A practical approach to storage and retrieval of high-frequency physiological signals

Danny Eytan, Andrew Goodwin, Robert Greer, 2020, Physiological measurement.

Revisiting oxygen dissociation curves and bedside measured arterial saturation in critically ill children

Danny Eytan, Peter C. Laussen, Mjaye L. Mazwi, 2019, Intensive Care Medicine.

Temporal Variability in the Sampling of Vital Sign Data Limits the Accuracy of Patient State Estimation.

Danny Eytan, Azadeh Assadi, Anusha Jegatheeswaran, 2019, Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies.