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Research
Latest papers
Pediatric Organ Dysfunction Information Update Mandate (PODIUM) Contemporary Organ Dysfunction Criteria: Executive Summary.
Pediatrics · 2022
Mixed-methods approach to understanding clinician macrocognition in the design of a clinical decision support tool: a study protocol.
BMJ open · 2020
Convergent parallel mixed-methods study to understand information exchange in paediatric critical care and inform the development of safety-enhancing interventions: a protocol study.
BMJ open · 2018
Latest funding
- $35,000
Using machine learning for prediction of cardiac arrest in the intensive care unit
CIHR · 2019 · Supervisor
- $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 · Nominated PI
7 publications.
Pediatric Organ Dysfunction Information Update Mandate (PODIUM) Contemporary Organ Dysfunction Criteria: Executive Summary.
Bembea MM, Agus M, Akcan-Arikan A, Alexander P, Basu R, Bennett TD, Bohn D, Brandão LR, Brown AM, Carcillo JA, Checchia P, Cholette J, Cheifetz IM, Cornell T, Doctor A, Eckerle M, Erickson S, Farris RWD, Faustino EVS, Fitzgerald JC, Fuhrman DY, Giuliano JS, Guilliams K, Gaies M, Gorga SM, Hall M, Hanson SJ, Hartman M, Hassinger AB, Irving SY, Jeffries H, Jouvet P, Kannan S, Karam O, Khemani RG, Kissoon N, Lacroix J, Laussen P, Leclerc F, Lee JH, Leteurtre S, Lobner K, McKiernan PJ, Menon K, Monagle P, Muszynski JA, Odetola F, Parker R, Pathan N, Pierce RW, Pineda J, Prince JM, Robinson KA, Rowan CM, Ryerson LM, Sanchez-Pinto LN, Schlapbach LJ, Selewski DT, Shekerdemian LS, Simon D, Smith LS, Squires JE, Squires RH, Sutherland SM, Ouellette Y, Spaeder MC, Srinivasan V, Steiner ME, Tasker RC, Thiagarajan R, Thomas N, Tissieres P, Traube C, Tucci M, Typpo KV, Wainwright MS, Ward SL, Watson RS, Weiss S, Whitney J, Willson D, Wynn JL, Yehya N, Zimmerman JJ
Mixed-methods approach to understanding clinician macrocognition in the design of a clinical decision support tool: a study protocol.
Assadi A, Laussen P, Trbovich P
Convergent parallel mixed-methods study to understand information exchange in paediatric critical care and inform the development of safety-enhancing interventions: a protocol study.
Tomasi J, Warren C, Kolodzey L, Pinkney S, Guerguerian AM, Kirsch R, Hubbert J, Sperling C, Sutton P, Laussen P, Trbovich P
"Usability of data integration and visualization software for multidisciplinary pediatric intensive care: a human factors approach to assessing technology".
Lin YL, Guerguerian AM, Tomasi J, Laussen P, Trbovich P
Bedside functional brain imaging in critically-ill children using high-density EEG source modeling and multi-modal sensory stimulation.
Eytan D, Pang EW, Doesburg SM, Nenadovic V, Gavrilovic B, Laussen P, Guerguerian AM
Insights From Multi-Dimensional Physiological Signals to Predict and Prevent Cardiac Arrests.
Eytan D, Goodwin A, Laussen P, Guerguerian AM
The impact of targeted therapies for pulmonary hypertension on pediatric intraoperative morbidity or mortality.
Taylor K, Moulton D, Zhao XY, Laussen P
Using machine learning for prediction of cardiac arrest in the intensive care unit
Principal investigators: Tonekaboni, Sana
Keywords: Artificial Intelligence And Machine Learning
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
- Pediatrics
- Institute of Health Policy, Management and Evaluation
- 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.
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