Muhammad Mamdani

Muhammad Mamdani is a Canadian professor, pharmacist and epidemiologist, known for contributions to pharmacoeconomics, drug safety and the application of data analytics and artificial intelligence to medical systems. Provided by Wikipedia
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  1. 1
    Quality of interaction between clinicians and artificial intelligence systems. A systematic review

    Quality of interaction between clinicians and artificial intelligence systems. A systematic review by Argyrios Perivolaris, Chris Adams-McGavin, Yasmine Madan, Teruko Kishibe, Tony Antoniou, Muhammad Mamdani, James J. Jung

    Published 2024-09-01
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  2. 2
    Association between a publicly funded universal drug program and antipsychotic and antidepressant medication dispensing to children

    Association between a publicly funded universal drug program and antipsychotic and antidepressant medication dispensing to children by Sophie A. Kitchen, Tara Gomes, Mina Tadrous, Kathleen Pajer, William Gardner, Yona Lunsky, Melanie Penner, David Juurlink, Muhammad Mamdani, Tony Antoniou

    Published 2025-02-01
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  3. 3
    The Real-Life Effectiveness of Palivizumab for Reducing Hospital Admissions for Respiratory Syncytial Virus in Infants Residing in Nunavut

    The Real-Life Effectiveness of Palivizumab for Reducing Hospital Admissions for Respiratory Syncytial Virus in Infants Residing in Nunavut by Anna Banerji, Vladimir Panzov, Michael Young, Bonita E Lee, Muhammad Mamdani, B Louise Giles, Marguerite Dennis, Johanne Morel, Danny Bisson, Bosco A Paes, Charles Hui, Jim Mahony

    Published 2014-01-01
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  4. 4
    Using machine learning to predict outcomes following transcarotid artery revascularization

    Using machine learning to predict outcomes following transcarotid artery revascularization by Ben Li, Naomi Eisenberg, Derek Beaton, Douglas S. Lee, Leen Al-Omran, Duminda N. Wijeysundera, Mohamad A. Hussain, Ori D. Rotstein, Charles de Mestral, Muhammad Mamdani, Graham Roche-Nagle, Mohammed Al-Omran

    Published 2025-01-01
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  5. 5
    Using Machine Learning to Predict Outcomes Following Transfemoral Carotid Artery Stenting

    Using Machine Learning to Predict Outcomes Following Transfemoral Carotid Artery Stenting by Ben Li, Naomi Eisenberg, Derek Beaton, Douglas S. Lee, Leen Al‐Omran, Duminda N. Wijeysundera, Mohamad A. Hussain, Ori D. Rotstein, Charles de Mestral, Muhammad Mamdani, Graham Roche‐Nagle, Mohammed Al‐Omran

    Published 2024-09-01
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  6. 6
    Fit for School Study protocol: early child growth, health behaviours, nutrition, cardiometabolic risk and developmental determinants of a child’s school readiness, a prospective cohort

    Fit for School Study protocol: early child growth, health behaviours, nutrition, cardiometabolic risk and developmental determinants of a child’s school readiness, a prospective co... by Peter Szatmari, Mark S Tremblay, Peter Jüni, Christopher Allen, Julia Thompson, Kevin Thorpe, Douglas Campbell, Andreas Laupacis, Elise Mok, Catherine S Birken, Jessica A Omand, Kim M Nurse, Cornelia M Borkhoff, Jonathon L Maguire, Muhammad Mamdani, Patricia C Parkin, Janis Randall Simpson, Eric Duku, Caroline Reid-Westoby, Magdalena Janus, Catherine S. Birken, Jonathon L. Maguire, Ronald Cohn, Cornelia M. Borkhoff, Charles Keown-Stoneman, Christine Kowal, Dalah Mason, Jillian Baker, Denis Leduc, Patricia Li, Navindra Persaud, Susan Shepherd, Carolyn Taylor, Farnaz Bazeghi, Imaan Bayoumi, Sarah Carsley, Patricia Raso, Amanda Offord

    Published 2019-11-01
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