Faculty profile

Marzyeh Ghassemi

ResearcherGeneral Internal MedicineUniversity 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.

Marzyeh Ghassemi

Researcher

General Internal Medicine

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.
26 publications in the last five years, latest in 2024.
Senior (last) author on 5 recent papers, a sign of leading a research group.
Principal investigator on 12 research grants (6 CIHR, 5 NSERC, 1 SSHRC), most recently in 2021.
Supervised 1 trainee who won CIHR awards, 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

h-index

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

Hospital Medicine Clinical Data Platform End Of Life Care Health Services Research Caregiver Health Clinical Presentations & Trajectories Full Spectrum Of Covid-19 Disease (Mild To Severe)Host Genetic Profiling

Latest papers

Phenome- and genome-wide analyses of retinal optical coherence tomography images identify links between ocular and systemic health.
Science translational medicine · 2024
Using labels to limit AI misuse in health.
Nature computational science · 2024 · senior author
Lost in Transplantation: Characterizing Racial Gaps in Physician Organ Offer Acceptance.
medRxiv : the preprint server for health sciences · 2024 · senior author

All 49 publications

Latest funding

Improving the recognition and care of patients with long-term health complications of COVID-19
CIHR · 2021 · Principal investigator
$499,998
COVID-19 Variant Network - The COVID-19 Hospital Analytics Laboratory: Improving the Clinical, Organizational, and System Response to COVID-19
CIHR · 2021 · Principal investigator
$100,000
COVID-19 Variant Supplement - The COVID-19 Hospital Analytics Laboratory: Improving the Clinical, Organizational, and System Response to COVID-19
CIHR · 2021 · Principal investigator
$50,000

All 17 grants and awards

49 publications.

Phenome- and genome-wide analyses of retinal optical coherence tomography images identify links between ocular and systemic health.

Zekavat SM, Jorshery SD, Rauscher FG, Horn K, Sekimitsu S, Koyama S, Nguyen TT, Costanzo MC, Jang D, Burtt NP, Kühnapfel A, Shweikh Y, Ye Y, Raghu V, Zhao H, Ghassemi M, Elze T, Segrè AV, Wiggs JL, Del Priore L, Scholz M, Wang JC, Natarajan P, Zebardast N

Science translational medicine2024

DOI: 10.1126/scitranslmed.adg4517 PMID: 38266105

Using labels to limit AI misuse in health.

Nsoesie EO, Ghassemi M

Nature computational science2024Senior author

DOI: 10.1038/s43588-024-00676-7 PMID: 39317757

Lost in Transplantation: Characterizing Racial Gaps in Physician Organ Offer Acceptance.

Adam H, Bermea RS, Yang MY, Celi LA, Ghassemi M

medRxiv : the preprint server for health sciences2024Senior author

DOI: 10.1101/2024.07.14.24310395 PMID: 39072010

Clinical Information Extraction with Large Language Models: A Case Study on Organ Procurement.

Adam H, Lin J, Lin J, Keenan H, Wilson A, Ghassemi M

AMIA ... Annual Symposium proceedings. AMIA Symposium2024Senior author

PMID: 40417525

Optimizing warfarin dosing for patients with atrial fibrillation using machine learning

Petch J, Nelson W, Wu M, Ghassemi M, Benz A, Fatemi M, Di S, Carnicelli A, Granger C, Giugliano R

Scientific Reports202425 citations

DOI: 10.1038/s41598-024-55110-9

Machine Learning-Based Early Warning Systems for Acute Care Utilization During Systemic Therapy for Cancer.

Grant RC, He JC, Khan F, Liu N, Podolsky S, Kaliwal Y, Powis M, Notta F, Chan KKW, Ghassemi M, Gallinger S, Krzyzanowska MK

Journal of the National Comprehensive Cancer Network : JNCCN2023

DOI: 10.6004/jnccn.2023.7046 PMID: 37856226

Out with AI, in with the psychiatrist: a preference for human-derived clinical decision support in depression care.

Maslej MM, Kloiber S, Ghassemi M, Yu J, Hill SL

Translational psychiatry2023

DOI: 10.1038/s41398-023-02509-z PMID: 37328465

Insights into human health from phenome- and genome-wide analyses of UK Biobank retinal optical coherence tomography phenotypes.

Zekavat SM, Jorshery SD, Shweikh Y, Horn K, Rauscher FG, Sekimitsu S, Kayoma S, Ye Y, Raghu V, Zhao H, Ghassemi M, Elze T, Segrè AV, Wiggs JL, Scholz M, Priore LD, Wang JC, Natarajan P, Zebardast N

medRxiv : the preprint server for health sciences2023

DOI: 10.1101/2023.05.16.23290063 PMID: 37292770

Judging facts, judging norms: Training machine learning models to judge humans requires a modified approach to labeling data.

Balagopalan A, Madras D, Yang DH, Hadfield-Menell D, Hadfield GK, Ghassemi M

Science advances2023Senior author

DOI: 10.1126/sciadv.abq0701 PMID: 37163590

Developing and Validating a Prediction Model For Death or Critical Illness in Hospitalized Adults, an Opportunity for Human-Computer Collaboration.

Verma AA, Pou-Prom C, McCoy LG, Murray J, Nestor B, Bell S, Mourad O, Fralick M, Friedrich J, Ghassemi M, Mamdani M

Critical care explorations2023

DOI: 10.1097/cce.0000000000000897 PMID: 37151895

Improving the recognition and care of patients with long-term health complications of COVID-19

Principal investigatorCIHR2021Op Grant: Emerging COVID-19 Research Gaps & Priorities - Post COVID-19 condition

Principal investigators: Quinn, Kieran L; Chan, Timothy; Cheung, Angela M; Ghassemi, Marzyeh; Herridge, Margaret S; Mamdani, Muhammad; Razak, Fahad; Rosella, Laura C; Verma, Amol

Keywords: End Of Life Care; Health Services Research; Hospital Medicine

$499,998

COVID-19 Variant Network - The COVID-19 Hospital Analytics Laboratory: Improving the Clinical, Organizational, and System Response to COVID-19

Principal investigatorCIHR2021Operating Grant: SARS-CoV-2 variants supplement stream 2

Principal investigators: Verma, Amol; Greenberg, Anna; Chan, Timothy; Cheung, Angela M; Ghassemi, Marzyeh; Herridge, Margaret S; Mamdani, Muhammad; Razak, Fahad; Rosella, Laura C

Keywords: Clinical Data Platform; Hospital Medicine

$100,000

COVID-19 Variant Supplement - The COVID-19 Hospital Analytics Laboratory: Improving the Clinical, Organizational, and System Response to COVID-19

Principal investigatorCIHR2021Operating Grant: SARS-CoV-2 variants supplement stream 1

Principal investigators: Verma, Amol; Greenberg, Anna; Chan, Timothy; Cheung, Angela M; Ghassemi, Marzyeh; Herridge, Margaret S; Mamdani, Muhammad; Razak, Fahad; Rosella, Laura C

Keywords: Clinical Data Platform; Hospital Medicine

$50,000

The COVID-19 Hospital Analytics Laboratory: Improving the Clinical, Organizational, and System Response to COVID-19

Principal investigatorCIHR2020Op Gr: COVID-19 Rapid Research FO - Clinical Mgmt/Health System Interventions

Principal investigators: Verma, Amol; Greenberg, Anna; Chan, Timothy; Cheung, Angela M; Ghassemi, Marzyeh; Herridge, Margaret S; Mamdani, Muhammad; Razak, Fahad; Rosella, Laura C

Keywords: Clinical Data Platform; Hospital Medicine

$2,010,500

Canadian COVID-19 Prospective Cohort Study (CanCOV)

Principal investigatorCIHR2020Op Gr: COVID-19 Rapid Research FO - Clinical Mgmt/Health System Interventions

Principal investigators: Cheung, Angela M; Ahmed, Sofia B; Batt, Jane Andrea E; Binnie, Alexandra; Dos Santos, Claudia C; Ghassemi, Marzyeh; Herridge, Margaret S; Lamontagne, Francois; Morin, Suzanne N; Palepu, Anita; Razak, Fahad; Stelfox, Henry T; Strug, Lisa J; Tsang, Jennifer L; Verma, Amol; Yeung, Rae S

Keywords: Caregiver Health; Clinical Presentations & Trajectories; Full Spectrum Of Covid-19 Disease (Mild To Severe); Host Genetic Profiling; Knowledge To Action Cycles; Mental Health & Stigma; Prediction Models Using Machine Learning; Prospective Cohort Study; Sociodemographic And Clinical Predictors Of Outcomes; Transcriptomic, Epigenomic And Immunologic Host Response

$2,112,500

Identifying and mitigating bias in machine learning models used in population health

Co-investigatorCIHR2020Project Grant - PA : Population and Public Health - Equitable AI

Principal investigators: Pinto, Andrew D

Keywords: Artificial Intelligence; Bias; Equity; Guideline Development; Health Inequities; Machine Learning; Model Development; Population Health; Public Health

$100,000

Predicting treatment response with machine learning from clinical notes: Informing clinical decisions and improving the representation of clients with depression at the Centre for Addiction and Mental Health

SupervisorCIHR2019Health System Impact Fellowships - PostDoc Central Canada 2 year

Principal investigators: Maslej, Marta

Keywords: Classifier Bias; Clinical Decision-Making; Depression; Electronic Health Records; Language Representation Models; Machine Learning; Natural Language Processing; Standardized Care Pathway; Topic Modelling; Treatment Response

$108,500

Canadian Cancer Rehabilitation (CanRehab) Team: Improving the systematic identification, management, and treatment of the adverse effects of cancer.

Co-investigatorCIHR2019Team Grant: CCS/CIHR Cancer Survivorship Team Grants

Principal investigators: Jones, Jennifer M

Keywords: Cancer; Clinical Trial; Feasibility; Implementation Science; Physical Function; Rehabilitation; Surveillance

$1,101,364

AI for public health (AI4PH): A focus on equity and prevention

Co-investigatorCIHR2019Operating Grant: CIHR Summer Institute on Equitable AI for Public Health

Principal investigators: Buckeridge, David L; Lee, Joon; Lix, Lisa M; Osgood, Nathaniel D; Rosella, Laura C

Keywords: Ai; Equity; Public Health; Summer Institute

$525,000

Using artificial intelligence to identify and predict delirium among hospitalized medical patients

Co-investigatorNSERC2019Collaborative Health Research Projects

Principal investigators: Razak, Fahad

$443,604

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

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Marzyeh Ghassemi

Research

Latest papers

Latest funding

Phenome- and genome-wide analyses of retinal optical coherence tomography images identify links between ocular and systemic health.

Using labels to limit AI misuse in health.

Lost in Transplantation: Characterizing Racial Gaps in Physician Organ Offer Acceptance.

Clinical Information Extraction with Large Language Models: A Case Study on Organ Procurement.

Optimizing warfarin dosing for patients with atrial fibrillation using machine learning

Machine Learning-Based Early Warning Systems for Acute Care Utilization During Systemic Therapy for Cancer.

Out with AI, in with the psychiatrist: a preference for human-derived clinical decision support in depression care.

Insights into human health from phenome- and genome-wide analyses of UK Biobank retinal optical coherence tomography phenotypes.

Judging facts, judging norms: Training machine learning models to judge humans requires a modified approach to labeling data.

Developing and Validating a Prediction Model For Death or Critical Illness in Hospitalized Adults, an Opportunity for Human-Computer Collaboration.

Using artificial intelligence to identify and predict delirium among hospitalized medical patients

Frequent collaborators

Anna Goldenberg

Azadeh Assadi

Gabrielle Freire

Jeremy Petch

Jeremy Petch

Stefan Kloiber

Michael Fralick

Melanie Powis

Steven Gallinger

Ning Liu

Patricia Trbovich

Muhammad Mamdani

Reema Shah

Hertzel Gerstein

Jan Friedrich

Michael Noseworthy

Faiyaz Notta

John Eikelboom