Faculty profile

Muhammad Mamdani

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ProfessorDepartment of Laboratory Medicine and PathobiologyUniversity of Toronto

Muhammad Mamdani

Professor

Department of Laboratory Medicine and Pathobiology

Temerty Faculty of Medicine

University of Toronto

Toronto, Ontario, Canada

ORCID

Supervision signals

Professors usually supervise graduate students in their department's programs.
99 publications in the last five years, latest in 2026.
Senior (last) author on 2 recent papers, a sign of leading a research group.
Principal investigator on 8 research grants (8 CIHR), most recently in 2022.
Supervised 4 trainees who won CIHR awards, most recently in 2022.

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

265

Publications

4,898

Citations

h-index

238

Collaborators

Grants

Publications by year

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

Education

MPH, Research Methodology and Quantitative Methods
MA, Econometric Theory
PharmD

Profiles and links

University Profile Personal Website Search on Google Scholar iDORCID

Find them onX · LinkedIn · Bluesky · YouTube

Signals and details

Research

Read how they describe their research on their University of Toronto profile.

Artificial intelligence (AI)Epidemiology (except nutritional and veterinary epidemiology)Economics of health care Drug discovery, design and delivery Knowledge translation and implementation science in health

Latest papers

Machine learning in the development and application of patient-reported outcome measures (PROMs) for surgical patients: a systematic review.
Journal of patient-reported outcomes · 2026
Evaluating the temporal and sociodemographic generalizability of the emergency heart failure mortality risk grade.
ESC heart failure · 2026
Principles for Responsible AI in Health Professions Education, Research, and Care: Health CARE-AI (Contextual, Accountable, Responsible, and Equitable Artificial Intelligence) Framework Delphi Consensus Study.
JMIR medical education · 2026

All 265 publications

Latest funding

Clinical Implications of Potentially Injurious Patient-Ventilator Interaction Phenotypes. A longitudinal cohort study embedded within a platform of clinical trials testing different ventilation strategies.
CIHR · 2025 · Co-investigator
$661,726
Advancing the Science of Drug Interactions
CIHR · 2024 · Co-investigator
$665,550
Laying the foundation for an IYS Learning Health System: Building a youth and equity focused federated IYS data platform
CIHR · 2024 · Co-investigator
$9,471,694

All 68 grants and awards

From the 150 most recent of 265 publications.

Machine learning in the development and application of patient-reported outcome measures (PROMs) for surgical patients: a systematic review.

Alanezi T, Li B, Al-Omran L, Alshabanah L, Alkhayal NK, Verma M, Alrumaih H, Hussain MA, Mamdani M, Al-Omran M

Journal of patient-reported outcomes2026

DOI: 10.1186/s41687-026-00992-8 PMID: 41533277

Evaluating the temporal and sociodemographic generalizability of the emergency heart failure mortality risk grade.

Abdul-Samad K, Wang X, Austin PC, Abdel-Qadir H, McIntosh C, Gramolini A, Mamdani M, Epelman S, Ross HJ, Lee DS

ESC heart failure2026

DOI: 10.1093/eschf/xvag156 PMID: 42212505

Principles for Responsible AI in Health Professions Education, Research, and Care: Health CARE-AI (Contextual, Accountable, Responsible, and Equitable Artificial Intelligence) Framework Delphi Consensus Study.

Sonnenberg LK, Wiljer D, Mamdani M, Do V, Tang B, Haroon B, Jaffer B, Maniate J

JMIR medical education2026

DOI: 10.2196/91626 PMID: 42488974

Implementation of machine learning in emergency departments: A systematic review.

Hosseini B, Patel A, Landes M, Vaillancourt S, Mamdani M, Maruthananth K, Matharu N, Pathan Z, Sivapragasam K, Ruangsomboon O, Skidmore B, Pinto AD

Digital health2026

DOI: 10.1177/20552076251411209 PMID: 41623714

Comparing Catheters with Fistulas in Older Patients Starting Hemodialysis: A Pilot Randomized Controlled Trial.

Quinn RR, Oliver MJ, Wald R, Hiremath S, Pauly RP, Miller L, Barrett B, Nesrallah G, Gallagher M, Kotwal S, Gray NA, Hassan HC, Talaulikar GS, Thorpe K, Graham J, Clarke A, Bian J, MacRae J, Santana M, Bohm C, Mamdani M, Nagpal S, Yilmaz S, Moist L, Ravani P

Journal of the American Society of Nephrology : JASN2026

DOI: 10.1681/asn.0000001160 PMID: 42319856

Clinical trials for continuously monitored and updated AI systems.

van Amsterdam WAC, Oberst M, Feng J, Wiens J, Tang S, Joshi S, Ranganath R, Sendak M, Shalit U, Vogt JE, Beaulieu-Jones B, Mamdani M, Kent D, Heagerty PJ, Fleming TR, Goldenberg A

Nature medicine2026

DOI: 10.1038/s41591-026-04368-9 PMID: 42050181

VEGF as a predictor of major adverse events in patients with peripheral arterial disease - an exploratory study.

Khan H, Frljuckic S, Zamzam A, Ashour R, Saposnik G, Mamdani M, Qadura M

Journal of thrombosis and thrombolysis2026

DOI: 10.1007/s11239-025-03221-z PMID: 41466167

Theoretical applications of artificial intelligence in smart infusion pump technology: Expert panel insights.

Mamdani M, Walker K, Nelson SD, Willner M, Sowan A

American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists2026First author

DOI: 10.1093/ajhp/zxag085 PMID: 41894577

A multiagent large language model-based system to simulate the liver transplant selection committee: a retrospective cohort study.

Hasjim BJ, Azarfar G, Lee FG, Diwan TS, Raju S, Gross JA, Sidhu A, Ichii H, Krishnan RG, Mamdani M, Sharma D, Bhat M

The Lancet. Digital health2026

DOI: 10.1016/j.landig.2025.100966 PMID: 41951492

Development of Cardiovascular Risk Equations in People with Overweight or Obesity and Established Cardiovascular Disease Without Diabetes Based on the SELECT Trial.

Bøg M, Bojesen AB, Emerson S, Ivkovic M, Jenkins NC, Lübker C, Mamdani M, Padgett T, Van Gaal L, Weeke PE, Lincoff AM

PharmacoEconomics2026

DOI: 10.1007/s40273-025-01580-2 PMID: 41553702

Clinical Implications of Potentially Injurious Patient-Ventilator Interaction Phenotypes. A longitudinal cohort study embedded within a platform of clinical trials testing different ventilation strategies.

Co-investigatorCIHR2025Project Grant

Principal investigators: Telias, Irene G; Brochard, Laurent J

Keywords: Acute Hypoxemic Respiratory Failure; Artificial Intelligence; Functional Outcomes; Mechanical Ventilation; Patient-Ventilator Interaction; Sedation

$661,726

Advancing the Science of Drug Interactions

Co-investigatorCIHR2024Project Grant

Principal investigators: Juurlink, David N

Keywords: Drug Interactions; Drug Safety; Pharmacoepidemiology

$665,550

Laying the foundation for an IYS Learning Health System: Building a youth and equity focused federated IYS data platform

Co-investigatorCIHR2024Operating Grant: IYS LHS Data Platform

Principal investigators: Henderson, Jo; Barnes, Kristen; Horodecki, Laura; Piercey, Matt; Barbic, Skye P; Butler, Stephen M; Chiodo, Debbie G; deJong, Kathy; Dimitropoulos, Gina; Healey Akearok, Gwen K; Hill, Sean; Hutt-MacLeod, Daphne; Iyer, Srividya N; Langton, Julia; Leach, Michelle; MacLachlan, Janna L; Mathias, Steve M; Mushquash, Christopher J; Plourde, Vickie; Sveinson, Pam; Woodgate, Roberta L

Keywords: Data Science; Integrated Youth Services; Large Scale Data Integration; Learning Health System; Youth Mental Health And Substance Use

$9,471,694

Using an Artificial Intelligence Quality Indicator to optimize and evaluate delirium prevention efforts in hospitals

Co-investigatorCIHR2023Project Grant - PA: Patient-Oriented Research: Early-Career Investigator

Principal investigators: Verma, Amol; Chignell, Mark H; Cohen, Eldan; Dolatabadi, Elham; Gopalkrishnan, Rahul; Liu, Barbara; McIlraith, Sheila; Razak, Fahad; Sheehan, Kathleen; Siddiqi, Arjumand; Thorpe, Kevin E; Trbovich, Patricia; Wong, Brian M; Wong, Camilla L

Keywords: Artificial Intelligence; Delirium; Implementation Science; Machine Learning; Patient Safety; Quality Improvement; Quality Indicators; Senior Friendly Hospital Care

$100,000

Developing an Artificial Intelligence and Implementation Science Toolkit to Prevent Delirium in Hospitals

Co-investigatorCIHR2023Project Grant - PA: Patient-Oriented Research: Early-Career Investigator

Principal investigators: Verma, Amol; Cohen, Eldan; Fahim, Christine; Liu, Barbara; McIlraith, Sheila; Razak, Fahad; Sheehan, Kathleen; Tang, Terence

Keywords: Artificial Intelligence; Delirium; Early Warning System; Implementation Science; Machine Learning; Patient Safety; Prediction; Quality Improvement; Senior Friendly Hospital Care

$100,000

Using machine learning to augment trauma resuscitation

Co-investigatorSSHRC2023New Frontiers in Research Fund - Exploration

Principal investigators: Nolan, Brodie

Keywords: trauma; resuscitation; machine learning; artificial intelligence; blood transfusion; coagulopathy

$250,000

A pragmatic randomized trial to evaluate the effect of a peer-comparison feedback letter on antimicrobial use in hospital-based physicians

Co-investigatorCIHR2023Project Grant

Principal investigators: Razak, Fahad; Daneman, Nick; Desveaux, Laura; Ivers, Noah M; McIntyre, Mark; Morris, Andrew M; Schwartz, Kevin L; Taljaard, Monica; Verma, Amol

Keywords: Antimicrobial Resistance; Antimicrobial Stewardship; Inpatient Care; Peer-Comparison Feedback Reporting; Pragmatic Randomized Trial

$634,949

A pragmatic randomized trial to evaluate the effect of a peer-comparison feedback letter on antimicrobial use in hospital-based physicians

Co-investigatorCIHR2023Project Grant - PA: ECR Antimicrobial Resistance Multi-Year Grant

Principal investigators: Razak, Fahad; Desveaux, Laura; Ivers, Noah M; McIntyre, Mark; Morris, Andrew M; Schwartz, Kevin L; Taljaard, Monica; Verma, Amol

Keywords: Antimicrobial Resistance; Antimicrobial Stewardship; Inpatient Care; Peer-Comparison Feedback Reporting; Pragmatic Randomized Trial

$300,000

Using machine learning to predict outcomes following major vascular surgery

SupervisorCIHR2022CIHR Fellowship

Principal investigators: Li, Ben

Keywords: Machine Learning; Outcomes; Risk Prediction; Vascular Surgery

$220,000

Machine Learning In Medicine: Evaluating Critical Barriers to Effective and Equitable Implementation Within Clinical Decision Making

SupervisorCIHR2022Doctoral Research Award: Canada Graduate Scholarships

Principal investigators: Colacci, Michael

Keywords: Critical Illness; In-Hospital Mortality; Inpatient Medicine; Internal Medicine; Machine Learning; Understanding And Preventing Bias In Artificial Intelligence

$105,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Profile data last refreshed on September 25, 2026 from the university directory, publication records and CIHR, NSERC and SSHRC funding.

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Muhammad Mamdani

Research

Latest papers

Latest funding

Machine learning in the development and application of patient-reported outcome measures (PROMs) for surgical patients: a systematic review.

Evaluating the temporal and sociodemographic generalizability of the emergency heart failure mortality risk grade.

Principles for Responsible AI in Health Professions Education, Research, and Care: Health CARE-AI (Contextual, Accountable, Responsible, and Equitable Artificial Intelligence) Framework Delphi Consensus Study.

Implementation of machine learning in emergency departments: A systematic review.

Comparing Catheters with Fistulas in Older Patients Starting Hemodialysis: A Pilot Randomized Controlled Trial.

Clinical trials for continuously monitored and updated AI systems.

VEGF as a predictor of major adverse events in patients with peripheral arterial disease - an exploratory study.

Theoretical applications of artificial intelligence in smart infusion pump technology: Expert panel insights.

A multiagent large language model-based system to simulate the liver transplant selection committee: a retrospective cohort study.

Development of Cardiovascular Risk Equations in People with Overweight or Obesity and Established Cardiovascular Disease Without Diabetes Based on the SELECT Trial.

Using machine learning to augment trauma resuscitation

Frequent collaborators

Mohammed Al-Omran

Charles De Mestral

Tara Gomes

Gustavo Saposnik

Tony Antoniou

Graham Roche Nagle

Mina Tadrous

Andreas Laupacis

Mohammad Qadura

Rahim Moineddin

Yona Lunsky

Kathleen Pajer

Melanie Penner

Yona Lunsky

William Gardner

Kevin Thorpe

Michael Fralick

Eric Duku

David Juurlink

Magdalena Janus

Laura Anderson

J Michael Paterson

Ross Upshur

Onil Bhattacharyya

Karen Tu

Nathan Herrmann

William Gardner

Martin O'Donnell

Paula Rochon

Muhammad Mamdani

Dar Dowlatshahi

Mary Aglipay

Rinku Sutradhar

Ning Liu

Danielle Martin

Ashleigh Tuite

Geetha Mukerji

Antonio Giulivi

Michael Colacci

Jay Shaw