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Melissa D. McCradden [7]Melissa McCradden [3]
  1.  60
    A Research Ethics Framework for the Clinical Translation of Healthcare Machine Learning.Melissa D. McCradden, James A. Anderson, Elizabeth A. Stephenson, Erik Drysdale, Lauren Erdman, Anna Goldenberg & Randi Zlotnik Shaul - 2022 - American Journal of Bioethics 22 (5):8-22.
    The application of artificial intelligence and machine learning technologies in healthcare have immense potential to improve the care of patients. While there are some emerging practices surro...
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  2.  25
    Evidence, ethics and the promise of artificial intelligence in psychiatry.Melissa McCradden, Katrina Hui & Daniel Z. Buchman - 2023 - Journal of Medical Ethics 49 (8):573-579.
    Researchers are studying how artificial intelligence (AI) can be used to better detect, prognosticate and subgroup diseases. The idea that AI might advance medicine’s understanding of biological categories of psychiatric disorders, as well as provide better treatments, is appealing given the historical challenges with prediction, diagnosis and treatment in psychiatry. Given the power of AI to analyse vast amounts of information, some clinicians may feel obligated to align their clinical judgements with the outputs of the AI system. However, a potential (...)
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  3.  14
    The Gift in Precision Medicine: Unwrapping the Significance of Reciprocity and Generosity.Melissa McCradden, James Anderson, Dylan Shaul & Randi Zlotnik Shaul - 2021 - American Journal of Bioethics 21 (4):78-80.
    Gifts have served as a fundamental aspect of the human experience across time, even as their precise roles and functions have shifted. In the past, bioethicists and others have drawn upon anthropol...
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  4.  26
    Accountability in the Machine Learning Pipeline: The Critical Role of Research Ethics Oversight.Melissa D. McCradden, James A. Anderson & Randi Zlotnik Shaul - 2020 - American Journal of Bioethics 20 (11):40-42.
    Char and colleagues provide a useful conceptual framework for the proactive identification of ethical issues arising throughout the lifecycle of machine learning applications in healthcare. Th...
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  5.  25
    Optimized or Hijacked? The Moral Boundaries of Natural Athletic Performance.Melissa D. McCradden & Michael D. Cusimano - 2018 - American Journal of Bioethics 18 (6):26-28.
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  6.  16
    Ethics, First.Melissa D. McCradden - 2023 - American Journal of Bioethics 23 (9):55-56.
    If you’ve ever had a time where your smartwatch buzzed to say you’ve completed your daily steps while you were actually just brushing your hair, you’ll know our data aren’t perfect. Every day, we c...
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  7.  15
    Response to Open Peer Commentaries: On Social Harms, Big Tech, and Institutional Accountability.James A. Anderson, Melissa D. McCradden & Elizabeth A. Stephenson - 2022 - American Journal of Bioethics 22 (10):6-8.
    The authors offer their sincere thanks to all of the commentators for taking the time to comment on our work ; one of the advantages of the AJOB format is immediate feedback,...
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  8.  12
    Cracking the Code: COVID-19 and the Future of Professional Promises.Andrew Helmers, Melissa McCradden, Roxanne Kirsch & Randi Zlotnik Shaul - 2021 - American Journal of Bioethics 21 (1):19-21.
    Clinicians such as Sir William Osler reinvented Hippocrates and built the image of a noble, lone, professional man replete with black bag, minister...
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  9.  13
    Questioning Assumptions About Vulnerability in Psychiatric Patients.Melissa D. McCradden & Michael D. Cusimano - 2018 - American Journal of Bioethics Neuroscience 9 (4):221-223.
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  10.  19
    The Last Refuge of Privacy.Melissa D. McCradden & James A. Anderson - 2019 - American Journal of Bioethics Neuroscience 10 (1):25-28.
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