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  1.  35
    Returning Individual Research Results from Digital Phenotyping in Psychiatry.Francis X. Shen, Matthew L. Baum, Nicole Martinez-Martin, Adam S. Miner, Melissa Abraham, Catherine A. Brownstein, Nathan Cortez, Barbara J. Evans, Laura T. Germine, David C. Glahn, Christine Grady, Ingrid A. Holm, Elisa A. Hurley, Sara Kimble, Gabriel Lázaro-Muñoz, Kimberlyn Leary, Mason Marks, Patrick J. Monette, Jukka-Pekka Onnela, P. Pearl O’Rourke, Scott L. Rauch, Carmel Shachar, Srijan Sen, Ipsit Vahia, Jason L. Vassy, Justin T. Baker, Barbara E. Bierer & Benjamin C. Silverman - 2024 - American Journal of Bioethics 24 (2):69-90.
    Psychiatry is rapidly adopting digital phenotyping and artificial intelligence/machine learning tools to study mental illness based on tracking participants’ locations, online activity, phone and text message usage, heart rate, sleep, physical activity, and more. Existing ethical frameworks for return of individual research results (IRRs) are inadequate to guide researchers for when, if, and how to return this unprecedented number of potentially sensitive results about each participant’s real-world behavior. To address this gap, we convened an interdisciplinary expert working group, supported by (...)
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  2.  22
    Integrating Supported Decision-Making into the Clinical Research Process.Michael Ashley Stein, Benjamin C. Silverman, David H. Strauss, Willyanne DeCormier Plosky, Ari Ne’Eman & Barbara E. Bierer - 2021 - American Journal of Bioethics 21 (11):32-35.
    Peterson, Karlawish, and Largent’s “Supported Decision Making with People at the Margins of Autonomy” brings welcome attention to the rights of people with cognitive impairment and provides...
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  3.  20
    Significant Protection-Inclusion Tensions in Research on Medical Emergencies: A Practical Challenge for IRBs.Rachel C. Conrad, Neal W. Dickert & Benjamin C. Silverman - 2023 - American Journal of Bioethics 23 (6):91-93.
    Friesen et al. (2023) describe barriers to research in patient populations that have been historically labeled as vulnerable and, as a result, are under-represented in research due to the Instituti...
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  4. (1 other version)Using wearable cameras to investigate health-related daily life experiences: A literature review of precautions and risks in empirical studies.Laurel E. Meyer, Lauren Porter, Meghan E. Reilly, Caroline Johnson, Salman Safir, Shelly F. Greenfield, Benjamin C. Silverman, James I. Hudson & Kristin N. Javaras - 2021 - Sage Publications Ltd: Research Ethics 18 (1):64-83.
    Research Ethics, Volume 18, Issue 1, Page 64-83, January 2022. Automated, wearable cameras can benefit health-related research by capturing accurate and objective information about individuals’ daily experiences. However, wearable cameras present unique privacy- and confidentiality-related risks due to the possibility of the images capturing identifying or sensitive information from participants and third parties. Although best practice guidelines for ethical research with wearable cameras have been published, limited information exists on the risks of studies using wearable cameras. The aim of this (...)
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