Faculty profile

Lars Grant

ResearcherMcGill University

This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a McGill University directory, so their courses may be missing. Find their university profile.

Lars Grant

Researcher

Social Sciences and Humanities

McGill University

Montreal, Quebec, Canada

Supervision signals

Has led research grants, which requires an independent research appointment. Ask their department whether they supervise graduate students.
14 publications in the last five years, latest in 2025.
Senior (last) author on 3 recent papers, a sign of leading a research group.
Principal investigator on 1 research grant (1 SSHRC), most recently in 2019.

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

Collaborators

Grants

Publications by year

Counts cover the publications linked to this profile. Citations and the h-index appear when the source records them.

Profiles and links

Search on Google Scholar

Find them onX · LinkedIn · Bluesky · YouTube

Signals and details

Research

Emergency Department Flow Emergency Department Operations Management Emergency Department Crowding Artificial Intelligence Machine Learning Health Care Operations Management Predictive analytics

Latest papers

Machine learning outperforms the Canadian Triage and Acuity Scale (CTAS) in predicting need for early critical care.
CJEM · 2025 · first author
Opening the black box: challenges and opportunities regarding interpretability of artificial intelligence in emergency medicine.
CJEM · 2025
Establishing methodological standards for the development of artificial intelligence-based Clinical Decision Support in emergency medicine.
CJEM · 2025

All 14 publications

Latest funding

Artificial Intelligence Assisted Emergency Department Flow
SSHRC · 2019 · Principal investigator
$273,175

All 1 grants and awards

14 publications.

Machine learning outperforms the Canadian Triage and Acuity Scale (CTAS) in predicting need for early critical care.

Grant L, Diagne M, Aroutiunian R, Hopkins D, Bai T, Kondrup F, Clark G

CJEM2025First author

DOI: 10.1007/s43678-024-00807-z PMID: 39560909

Opening the black box: challenges and opportunities regarding interpretability of artificial intelligence in emergency medicine.

Rajaram A, Li H, Holodinsky JK, Hall JN, Grant L, Goel G, Hayward J, Mehta S, Ben-Yakov M, Pelletier EB, Scheuermeyer F, Ho K, Kareemi H

CJEM2025

DOI: 10.1007/s43678-024-00827-9 PMID: 39962037

Establishing methodological standards for the development of artificial intelligence-based Clinical Decision Support in emergency medicine.

Kareemi H, Li H, Rajaram A, Holodinsky JK, Hall JN, Grant L, Goel G, Hayward J, Mehta S, Ben-Yakov M, Pelletier EB, Scheuermeyer F, Ho K

CJEM2025

DOI: 10.1007/s43678-024-00826-w PMID: 39918783

Artificial intelligence-based clinical decision support in the emergency department: A scoping review.

Kareemi H, Yadav K, Price C, Bobrovitz N, Meehan A, Li H, Goel G, Masood S, Grant L, Ben-Yakov M, Michalowski W, Vaillancourt C

Academic emergency medicine : official journal of the Society for Academic Emergency Medicine2025

DOI: 10.1111/acem.15099 PMID: 39905631

Characteristics and outcomes of patients with COVID-19 who return to the emergency department: a multicentre observational study by the Canadian COVID-19 Emergency Department Rapid Response Network (CCEDRRN)

Rosychuk RJ, Khangura JK, Ortiz SS, Cheng I, Bielska IA, Yan J, Morrison LJ, Hayward J, Grant L, Hohl CM

Emergency Medicine Journal20241 citations

DOI: 10.1136/emermed-2023-213277

Role of Artificial Intelligence in Improving Syncope Management.

Thiruganasambandamoorthy V, Probst MA, Poterucha TJ, Sandhu RK, Toarta C, Raj SR, Sheldon R, Rahgozar A, Grant L

The Canadian journal of cardiology2024Senior author

DOI: 10.1016/j.cjca.2024.05.027 PMID: 38838932

Administrative data ICD-10 diagnostic codes identifies most lab-confirmed SARS-CoV-2 admissions but misses many discharged from the Emergency Department.

Moura CS, Morrison LJ, Hohl CM, Grant L, Pilote L, Neville A, Hau JP, Bernatsky S, and the Canadian COVID-19 Emergency Department Rapid Response Network (CCEDRRN) investigators, Network of Canadian Emergency Researchers, Canadian Critical Care Trials Group

Scientific reports2024

DOI: 10.1038/s41598-023-49501-7 PMID: 38472258

Accuracy of Self-Reported COVID-19 Vaccination Status Compared With a Public Health Vaccination Registry in Québec: Observational Diagnostic Study

Archambault PM, Rosychuk RJ, Audet M, Bola R, Vatanpour S, Brooks SC, Daoust R, Clark G, Grant L, Vaillancourt S

JMIR Public Health and Surveillance202333 citationsOpen Access

DOI: 10.2196/44465 PMID: W4380870337

The burden of incidental SARS-CoV-2 infections in hospitalized patients across pandemic waves in Canada

McAlister FA, Hau JP, Atzema C, McRae AD, Morrison LJ, Grant L, Cheng I, Rosychuk RJ, Hohl CM

Scientific Reports202321 citations

DOI: 10.1038/s41598-023-33569-2

Comparing methods to classify admitted patients with SARS-CoV-2 as admitted for COVID-19 versus with incidental SARS-CoV-2: A cohort study.

Hohl CM, Cragg A, Purssell E, McAlister FA, Ting DK, Scheuermeyer F, Stachura M, Grant L, Taylor J, Kanu J, Hau JP, Cheng I, Atzema CL, Bola R, Morrison LJ, Landes M, Perry JJ, Rosychuk RJ, Canadian COVID-19 Emergency Department Rapid Response Network (CCEDRRN) investigators for the Network of Canadian Emergency Researchers, Canadian Critical Care Trials Group

PloS one2023

DOI: 10.1371/journal.pone.0291580 PMID: 37751455

Something wrong or missing on this profile? Suggest a correction

Lars Grant

Research

Latest papers

Latest funding

Machine learning outperforms the Canadian Triage and Acuity Scale (CTAS) in predicting need for early critical care.

Opening the black box: challenges and opportunities regarding interpretability of artificial intelligence in emergency medicine.

Establishing methodological standards for the development of artificial intelligence-based Clinical Decision Support in emergency medicine.

Artificial intelligence-based clinical decision support in the emergency department: A scoping review.

Characteristics and outcomes of patients with COVID-19 who return to the emergency department: a multicentre observational study by the Canadian COVID-19 Emergency Department Rapid Response Network (CCEDRRN)

Role of Artificial Intelligence in Improving Syncope Management.

Administrative data ICD-10 diagnostic codes identifies most lab-confirmed SARS-CoV-2 admissions but misses many discharged from the Emergency Department.

Accuracy of Self-Reported COVID-19 Vaccination Status Compared With a Public Health Vaccination Registry in Québec: Observational Diagnostic Study

The burden of incidental SARS-CoV-2 infections in hospitalized patients across pandemic waves in Canada

Comparing methods to classify admitted patients with SARS-CoV-2 as admitted for COVID-19 versus with incidental SARS-CoV-2: A cohort study.

Artificial Intelligence Assisted Emergency Department Flow

Frequent collaborators

Frank Scheuermeyer

Ivy Cheng

Henry Li

Jake Hayward

Kendall Ho

Krishan Yadav

Michelle Welsford

Venkatesh Thiruganasambandamoorthy

Christian Vaillancourt

Iwona Bielska

Wojtek Michalowski

Clare Atzema

Sasha Bernatsky

Louise Pilote

Robert Sheldon

Megan Landes

Caroline Nott

Debra Eagles

Lars Grant

Research

Latest papers

Latest funding

Machine learning outperforms the Canadian Triage and Acuity Scale (CTAS) in predicting need for early critical care.

Opening the black box: challenges and opportunities regarding interpretability of artificial intelligence in emergency medicine.

Establishing methodological standards for the development of artificial intelligence-based Clinical Decision Support in emergency medicine.

Artificial intelligence-based clinical decision support in the emergency department: A scoping review.

Characteristics and outcomes of patients with COVID-19 who return to the emergency department: a multicentre observational study by the Canadian COVID-19 Emergency Department Rapid Response Network (CCEDRRN)

Role of Artificial Intelligence in Improving Syncope&#xa0;Management.

Administrative data ICD-10 diagnostic codes identifies most lab-confirmed SARS-CoV-2 admissions but misses many discharged from the Emergency Department.

Accuracy of Self-Reported COVID-19 Vaccination Status Compared With a Public Health Vaccination Registry in Québec: Observational Diagnostic Study

The burden of incidental SARS-CoV-2 infections in hospitalized patients across pandemic waves in Canada

Comparing methods to classify admitted patients with SARS-CoV-2 as admitted for COVID-19 versus with incidental SARS-CoV-2: A cohort study.

Artificial Intelligence Assisted Emergency Department Flow

Frequent collaborators

Frank Scheuermeyer

Ivy Cheng

Henry Li

Jake Hayward

Kendall Ho

Krishan Yadav

Michelle Welsford

Venkatesh Thiruganasambandamoorthy

Christian Vaillancourt

Iwona Bielska

Wojtek Michalowski

Clare Atzema

Sasha Bernatsky

Louise Pilote

Robert Sheldon

Megan Landes

Caroline Nott

Debra Eagles

Role of Artificial Intelligence in Improving Syncope Management.