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Azadeh Assadi

Observed names: A. Assadi, Assadi, Azadeh
ORCID: 0000-0001-8156-6396
Observed ORCID: 0000-0001-8156-6396
OpenAlex ID: A5027640350
A practical approach to storage and retrieval of high-frequency physiological signals
2020 · Andrew J Goodwin, Danny Eytan, et al. · Physiological Measurement · 31
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Timing errors and temporal uncertainty in clinical databases—A narrative review
2022 · Andrew J. Goodwin, Danny Eytan, et al. · Frontiers in Digital Health · 23
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An integration engineering framework for machine learning in healthcare
2022 · Azadeh Assadi, Peter C. Laussen, et al. · Frontiers in Digital Health · 20
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What makes a ‘good’ decision with artificial intelligence? A grounded theory study in paediatric care
2025 · Melissa D McCradden, Kelly Thai, et al. · BMJ Evidence-Based Medicine · 13
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Temporal Variability in the Sampling of Vital Sign Data Limits the Accuracy of Patient State Estimation*
2019 · Danny Eytan, Anusha Jegatheeswaran, et al. · Pediatric Critical Care Medicine · 12
Revisiting oxygen dissociation curves and bedside measured arterial saturation in critically ill children
2019 · Danny Eytan, Mjaye L. Mazwi, et al. · Intensive Care Medicine · 11
Tired of “alarm fatigue” in the intensive care unit: taking a fresh path to solutions using cognitive load theory
2024 · Evan Goldart, Steven Else, et al. · Intensive Care Medicine · 8
Effect of clinical decision support systems on emergency medicine physicians' decision-making: A pilot scenario-based simulation study
2022 · Azadeh Assadi, Peter C. Laussen, et al. · Frontiers in Pediatrics · 8
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Challenges for Cardiopulmonary Resuscitation in Infants and Children With Cardiac Disease in the Perioperative Setting
2019 · Peter C. Laussen, Azadeh Assadi, et al. · Journal of Cardiothoracic and Vascular Anesthesia · 6
Understanding Clinician Macrocognition to Inform the Design of a Congenital Heart Disease Clinical Decision Support System
2022 · Azadeh Assadi, Peter C. Laussen, et al. · Frontiers in Cardiovascular Medicine · 5
Rhythm classification of 12-lead ECGs using deep neural network and class-activation maps for improved explainability
2020 · Sebastian Goodfellow, Dmitrii Shubin, et al. · Computing in cardiology · 5
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Mixed-methods approach to understanding clinician macrocognition in the design of a clinical decision support tool: a study protocol
2020 · Azadeh Assadi, Peter Laussen, et al. · BMJ Open · 4
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iCVS—Inferring Cardio-Vascular hidden States from physiological signals available at the bedside
2023 · Neta Ravid Tannenbaum, Omer Gottesman, et al. · PLoS Computational Biology · 2
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Decision-centered design of a clinical decision support system for acute management of pediatric congenital heart disease
2022 · Azadeh Assadi, Peter C. Laussen, et al. · Frontiers in Digital Health · 2
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High-fidelity measurement of pulse arrival time in critically ill children using standard bedside monitoring equipment
2025 · Ian Ruffolo, Asad Siddiqui, et al. · Physiological Measurement · 1
Cognitive Load in Pediatric Critical Care Medicine: Tsunamis and a Thousand Cuts
2025 · Daniel E. Ehrmann, Sara N. Gallant, et al. · Critical Care Explorations · 1
Abstract P-335: INTEGRATION OF NURSE PRACTITIONER TEAM INTO CARDIAC CRITICAL CARE: A PROGRAM IN REVIEW
2018 · L. Dulsrud, A. Assadi, et al. · Pediatric Critical Care Medicine · 1
Abstract P-428: HIGH FIDELITY PHYSIOLOGICAL MODELLING - IT’S ABOUT TIME
2018 · A. Goodwin, M. Mazwi, et al. · Pediatric Critical Care Medicine · 1
Accelerating Machine Learning in Healthcare: Addressing the Labelling Bottleneck
2026 · Spencer Vecile, William Dixon, et al. · Research Square
26-a-13856-acc Nursing Cognitive Load in Pediatric Critical Care: Using Human-supervised Llm-assisted Reflexive Thematic Analysis to Generate Actionable Insights From Multicenter Qualitative Data
2026 · Connor Smith, Asha Owens, et al. · Journal of the American College of Cardiology
Clinician Performance in Training Data Curation for an Arrhythmia Machine Learning Model: Is Anyone Qualified?
2026 · Michael E. Kim, Azadeh Assadi, et al. · CJC Pediatric and Congenital Heart Disease
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Accelerating Machine Learning in Healthcare: Addressing the Labelling Bottleneck
2025 · Spencer Vecile, William Dixon, et al. · Research Square
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Convergent parallel mixed-methods study to understand the impact of decision-making for congenital cardiac surgery patients at a tertiary paediatric hospital: a study protocol
2025 · Leyi Yin, Sonia Pinkney, et al. · BMJ Open
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Needles in Needle Stacks: Meaningful Clinical Information Buried in Noisy Waveform Data
2024 · Nagaraj, Sujay, Goodwin, Andrew J., et al. · arXiv (Cornell University)
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The Cardiorespiratory Burden of Central and Obstructive Sleep Apnea and Risk of Respiratory Depression in Individuals on Chronic Opioids Therapy
2024 · A. Assadi, M.M. Kabir, et al.
Works count: 33
Citation count: 154
H-index: 8
I10-index: 6
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