This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of Toronto directory, so their courses may be missing. Find their university profile.
Research
Latest papers
Clinician Performance in Training Data Curation for an Arrhythmia Machine Learning Model: Is Anyone Qualified?
CJC pediatric and congenital heart disease · 2026
High-fidelity measurement of pulse arrival time in critically ill children using standard bedside monitoring equipment.
Physiological measurement · 2025
Cognitive Load in Pediatric Critical Care Medicine: Tsunamis and a Thousand Cuts.
Critical care explorations · 2025
Latest funding
- $657,900
Using heart rhythm detection as a prototype to translate machine learning equitably and reproducibly to the point of care
CIHR · 2022 · Co-investigator
- $596,830
Utilizing high resolution physiological data and artificial intelligence to develop a pediatric cardiac arrest prediction tool for integration into bedside clinical practice
CIHR · 2018 · Principal investigator
17 publications.
Clinician Performance in Training Data Curation for an Arrhythmia Machine Learning Model: Is Anyone Qualified?
Kim ME, Assadi A, Ehrmann D, Dixon W, Vecile S, Greer R, Goodfellow S, Bulic A
High-fidelity measurement of pulse arrival time in critically ill children using standard bedside monitoring equipment.
Ruffolo I, Siddiqui A, Nguyen B, Dixon W, Assadi A, Greer R, Schwartz S, Brudno M, Mariakakis A, Goodwin A
Cognitive Load in Pediatric Critical Care Medicine: Tsunamis and a Thousand Cuts.
Ehrmann DE, Gallant SN, Yu S, Eytan D, Gilfoyle E, Assadi A, Gray S, Zaulan O, Mazwi M
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.
Yin L, Pinkney S, Assadi A, Fan M, Zahiri Y, Mazwi M, Honjo O, Trbovich P
What makes a 'good' decision with artificial intelligence? A grounded theory study in paediatric care.
McCradden MD, Thai K, Assadi A, Tonekaboni S, Stedman I, Joshi S, Zhang M, Chevalier F, Goldenberg A
Tired of "alarm fatigue" in the intensive care unit: taking a fresh path to solutions using cognitive load theory.
Goldart E, Else S, Assadi A, Ehrmann D
iCVS-Inferring Cardio-Vascular hidden States from physiological signals available at the bedside.
Ravid Tannenbaum N, Gottesman O, Assadi A, Mazwi M, Shalit U, Eytan D
Effect of clinical decision support systems on emergency medicine physicians' decision-making: A pilot scenario-based simulation study.
Assadi A, Laussen PC, Freire G, Ghassemi M, Trbovich PC
Decision-centered design of a clinical decision support system for acute management of pediatric congenital heart disease.
Assadi A, Laussen PC, Freire G, Ghassemi M, Trbovich P
Timing errors and temporal uncertainty in clinical databases-A narrative review.
Goodwin AJ, Eytan D, Dixon W, Goodfellow SD, Doherty Z, Greer RW, McEwan A, Tracy M, Laussen PC, Assadi A, Mazwi M
Using heart rhythm detection as a prototype to translate machine learning equitably and reproducibly to the point of care
Principal investigators: Mazwi, Mjaye L; Goodfellow, Sebastian D
Keywords: Arrhythmia; Artificial Intelligence; Critical Care Medicine
Utilizing high resolution physiological data and artificial intelligence to develop a pediatric cardiac arrest prediction tool for integration into bedside clinical practice
Principal investigators: Laussen, Peter C; Assadi, Azadeh; Goldenberg, Anna
Keywords: Artificial Intelligence; Big Data; Bioethics; Cardiac Arrest; Critical Care; Neural Networks; Pediatrics; Personalized Medicine; Prediction
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Critical Care Medicine
- Institute of Health Policy, Management and Evaluation
- General Internal Medicine
- Public Policy
- Clinical Public Health Division
- Computer Science
- Other
Co-authors at University of Toronto, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
Patricia Trbovich
Institute of Health Policy, Management and Evaluation
4 shared papers, latest 2025
Mjaye Mazwi
Critical Care Medicine
4 shared papers, latest 2025
Gabrielle Freire
Faculty
3 shared papers, latest 2022
Sebastian Goodfellow
Critical Care Medicine
2 shared papers, latest 2026
Anna Goldenberg
Critical Care Medicine
2 shared papers, latest 2025
Marzyeh Ghassemi
General Internal Medicine
2 shared papers, latest 2022
Ian Stedman
Public Policy
1 shared papers, latest 2025
Devin Singh
Faculty
1 shared papers, latest 2022
Melissa McCradden
Clinical Public Health Division
1 shared papers, latest 2022
Michael Brudno
Computer Science
1 shared papers, latest 2025
Peter Laussen
Critical Care Medicine
1 shared papers, latest 2020
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