Faculty profile

Devin Singh

ResearcherUniversity of Toronto

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 and email address may be missing. Find their university profile.

Devin Singh

Researcher

Health Sciences

University of Toronto

Toronto, Ontario, Canada

Supervision signals

Has led research grants, which requires an independent research appointment. Ask their department whether they supervise graduate students.
11 publications in the last five years, latest in 2026.
Senior (last) author on 3 recent papers, a sign of leading a research group.
Principal investigator on 1 research grant (1 CIHR), most recently in 2020.

These signals come from public records, including CIHR, NSERC and SSHRC funding decisions. Ask the professor or the graduate program whether they are taking new students.

Academic metrics

Publications

Citations

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Collaborators

Grants

Publications by year

Counts cover the works listed on the university profile; citation counts come from Dimensions.

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Signals and details

Research

3d Imaging Artificial Intelligence Craniosynostosis Health Economics Health Systems Machine Learning Mobile Computing Triaging

Latest papers

Standardized Workload Assessment Metric for Pediatric Emergency Departments (SWAMPED): Multicenter Derivation and Evaluation of a Task-Level Workload Measure.
Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2026
Creating a Parent-Informed Pediatric Emergency Department Wait Time App: Human-Centered Design Approach to Creating an AI Health Care Tool.
Journal of participatory medicine · 2025 · senior author
AI-Driven Injury Reporting in Pediatric Emergency Departments.
JAMA network open · 2025 · first author

All 18 publications

Latest funding

Optimizing Medical Device Regulation of Artificial Intelligence
CIHR · 2025 · Co-investigator
$355,724
Machine Learning Based Craniosynostosis Triaging System
CIHR · 2020 · Principal investigator
$535,501

All 2 grants and awards

18 publications.

Standardized Workload Assessment Metric for Pediatric Emergency Departments (SWAMPED): Multicenter Derivation and Evaluation of a Task-Level Workload Measure.

Meckler G, Bone JN, Principi T, Wright B, Gravel J, Mater A, Singh D, Görges M, van Rooij T, Hurley KF, Doan Q, for Pediatric Emergency Research Canada (PERC)

Academic emergency medicine : official journal of the Society for Academic Emergency Medicine2026

DOI: 10.1111/acem.70314 PMID: 42084450

Creating a Parent-Informed Pediatric Emergency Department Wait Time App: Human-Centered Design Approach to Creating an AI Health Care Tool.

Litwin S, Mohabir M, Kocak IS, Singh D

Journal of participatory medicine2025Senior author

DOI: 10.2196/66644 PMID: 40882156

AI-Driven Injury Reporting in Pediatric Emergency Departments.

Singh D, Celik A, Zhang EWJ, Liu E, Rosenfield D

JAMA network open2025First author

DOI: 10.1001/jamanetworkopen.2025.24154 PMID: 40742588

Developing the Standardized Workload Assessment Metric for Pediatric Emergency Departments: Initial Steps Using a Modified Delphi Method.

Rose J, Chong A, McKinley K, Meckler G, Van Rooij T, Görges M, Principi T, Gravel J, Singh D, Hurley K, Wright B, Turner T, Mater A, Burstein B, Doan Q

Pediatric emergency care2025

DOI: 10.1097/pec.0000000000003353 PMID: 40067025

Cracking the code: a scoping review to unite disciplines in tackling legal issues in health artificial intelligence.

Nunnelley S, Flood CM, Da Silva M, Horsley T, Kanathasan S, Thomas B, Da Silva EA, Ly V, Daniel RC, Sheikh Hassani M, Singh D

BMJ health & care informatics2025Senior author

DOI: 10.1136/bmjhci-2024-101112 PMID: 40216451

Using artificial intelligence based language interpretation in non-urgent paediatric emergency consultations: a clinical performance test and legal evaluation.

Brandenberger J, Stedman I, Stancati N, Sappleton K, Kanathasan S, Fayyaz J, Singh D

BMC health services research2025Senior author

DOI: 10.1186/s12913-025-12263-1 PMID: 39856756

CANAIRI: the Collaboration for Translational Artificial Intelligence Trials in healthcare.

McCradden MD, London AJ, Gichoya JW, Sendak M, Erdman L, Stedman I, Oakden-Rayner L, Akrout I, Anderson JA, Farmer LA, Greer R, Goldenberg A, Ho Y, Joshi S, Louise J, Mamdani M, Mazwi ML, Mohamud A, Palmer LJ, Peperidis A, Pfohl SR, Rickard M, Semmler C, Singh K, Singh D, Soremekun S, Tikhomirov L, van der Vegt AH, Verspoor K, Liu X

Nature medicine2025

DOI: 10.1038/s41591-024-03364-1 PMID: 39762426

The promises and challenges of clinical AI in community paediatric medicine.

Singh D, Nagaraj S, Daniel R, Flood C, Kulik D, Flook R, Goldenberg A, Brudno M, Stedman I

Paediatrics & child health2023First author

DOI: 10.1093/pch/pxac080 PMID: 37287484

An integration engineering framework for machine learning in healthcare.

Assadi A, Laussen PC, Goodwin AJ, Goodfellow S, Dixon W, Greer RW, Jegatheeswaran A, Singh D, McCradden M, Gallant SN, Goldenberg A, Eytan D, Mazwi ML

Frontiers in digital health2022

DOI: 10.3389/fdgth.2022.932411 PMID: 35990013

Legal concerns in health-related artificial intelligence: a scoping review protocol.

Da Silva M, Horsley T, Singh D, Da Silva E, Ly V, Thomas B, Daniel RC, Chagal-Feferkorn KA, Iantomasi S, White K, Kent A, Flood CM

Systematic reviews2022

DOI: 10.1186/s13643-022-01939-y PMID: 35715812

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Devin Singh

Research

Latest papers

Latest funding

Standardized Workload Assessment Metric for Pediatric Emergency Departments (SWAMPED): Multicenter Derivation and Evaluation of a Task-Level Workload Measure.

Creating a Parent-Informed Pediatric Emergency Department Wait Time App: Human-Centered Design Approach to Creating an AI Health Care Tool.

AI-Driven Injury Reporting in Pediatric Emergency Departments.

Developing the Standardized Workload Assessment Metric for Pediatric Emergency Departments: Initial Steps Using a Modified Delphi Method.

Cracking the code: a scoping review to unite disciplines in tackling legal issues in health artificial intelligence.

Using artificial intelligence based language interpretation in non-urgent paediatric emergency consultations: a clinical performance test and legal evaluation.

CANAIRI: the Collaboration for Translational Artificial Intelligence Trials in healthcare.

The promises and challenges of clinical AI in community paediatric medicine.

An integration engineering framework for machine learning in healthcare.

Legal concerns in health-related artificial intelligence: a scoping review protocol.

Optimizing Medical Device Regulation of Artificial Intelligence

Machine Learning Based Craniosynostosis Triaging System

Frequent collaborators

Ian Stedman

Anna Goldenberg

Michael Brudno

Jocelyn Gravel

Tanya Horsley

Quynh Doan

Brett Burstein

Fahad Alam

Azad Mashari

Clyde Matava

Ian Witterick

Brett Burstein

Melissa McCradden

Sebastian Goodfellow

Laurent Brochard

Ewan Goligher

Azadeh Assadi

Katrina Hurley

Cari Whyne

Muhammad Mamdani

Shaf Keshavjee

Colleen Flood

Marcin Wasowicz