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Marzyeh Ghassemi

Biographic Data

ID5082483
NAMEMarzyeh Ghassemi
GIVEN NAMESMarzyeh
FAMILY NAMEGhassemi
SIGNATUREGHASSEMI M
AFFILIATIONSVector Institute
ORCID0000-0001-6349-7251
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Machine learning used to study risk factors for chronic diseases

    Open Access•Mahek Shergill, Steve Durant et al.•ARTICLE•Canadian Journal of Public Health•2026

    OBJECTIVES: Machine learning (ML) has received significant attention for its potential to process and learn from vast amounts of data. Our aim was to perform a scoping review to identify studies that used ML to study risk factors for chronic diseases at a population level, notably those that incorporated methods to mitigate algorithmic bias. We focused on ML applications for the most common risk factors for chronic disease: tobacco use, alcohol u…

  • Presentation matters for AI-generated clinical advice

    Open Access•Marzyeh Ghassemi•ARTICLE•Nature Human Behaviour•2023•References: 17

  • Can AI Help Reduce Disparities in General Medical and Mental Health Care

    Open Access•Irene Y Chen, Peter Szolovits et al.•ARTICLE•The AMA Journal of Ethic•2019

    This analysis can provide a framework for assessing and identifying disparate impacts of artificial intelligence in health care

No prominent works on this page.

  • Can AI Help Reduce Disparities in General Medical and Mental Health Care

    Open Access•Irene Y Chen, Peter Szolovits et al.•ARTICLE•The AMA Journal of Ethic•2019

    This analysis can provide a framework for assessing and identifying disparate impacts of artificial intelligence in health care

  • Presentation matters for AI-generated clinical advice

    Open Access•Marzyeh Ghassemi•ARTICLE•Nature Human Behaviour•2023•References: 17

  • Machine learning used to study risk factors for chronic diseases

    Open Access•Mahek Shergill, Steve Durant et al.•ARTICLE•Canadian Journal of Public Health•2026

    OBJECTIVES: Machine learning (ML) has received significant attention for its potential to process and learn from vast amounts of data. Our aim was to perform a scoping review to identify studies that used ML to study risk factors for chronic diseases at a population level, notably those that incorporated methods to mitigate algorithmic bias. We focused on ML applications for the most common risk factors for chronic disease: tobacco use, alcohol u…

Artificial Intelligence (3 works) · Computer Science (3 works) · Medicine (3 works) · Artificial Intelligence in Healthcare and Education (2 works) · Psychology (2 works) · Actuarial science (1 works) · Artificial Intelligence (1 works) · Business (1 works) · Chronic Disease Management Strategies (1 works) · Clinical Reasoning and Diagnostic Skills (1 works)

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