• Internal medicine journal · Sep 2021

    Multicenter Study

    Medical student knowledge and critical appraisal of machine learning: a multicentre international cross-sectional study.

    • Charlotte Blacketer, Roger Parnis, Kyle B Franke, Morganne Wagner, David Wang, Yiran Tan, Luke Oakden-Rayner, Steve Gallagher, Seth W Perry, Julio Licinio, Ian Symonds, Josephine Thomas, Paul Duggan, and Stephen Bacchi.
    • University of Adelaide, Adelaide, South Australia, Australia.
    • Intern Med J. 2021 Sep 1; 51 (9): 1539-1542.

    AbstractTo utilise effectively tools that employ machine learning (ML) in clinical practice medical students and doctors will require a degree of understanding of ML models. To evaluate current levels of understanding, a formative examination and survey was conducted across three centres in Australia, New Zealand and the United States. Of the 245 individuals who participated in the study (response rate = 45.4%), the majority had difficulty with identifying weaknesses in model performance analysis. Further studies examining educational interventions addressing such ML topics are warranted.© 2021 Royal Australasian College of Physicians.

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