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Toward an artificial intelligence code of conduct for health and healthcare: implications for the biomedical informatics community.

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Title: Toward an artificial intelligence code of conduct for health and healthcare: implications for the biomedical informatics community.
Authors: Payne PRO; Institute for Informatics, Data Science and Biostatistics, Washington University in St. Louis School of Medicine, St. Louis, MO 63110, United States., Johnson KB; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, United States., Maddox TM; Healthcare Innovation Lab, BJC HealthCare and Washington University in St. Louis School of Medicine, St. Louis, MO 63110, United States.; Division of Cardiology, Department of Medicine, Washington University in St. Louis School of Medicine, St. Louis, MO 63110, United States., Embi PJ; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States., Mandl KD; Computational Health Informatics Program, Boston Children's Hospital, Boston, MA 02115, United States.; Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, United States., McGraw D; Citizen Health, San Francisco, CA 94112, United States., Saria S; Department of Computer Science, Johns Hopkins University Whiting School of Engineering, Baltimore, MD 21218, United States.; Department of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21218, United States.; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21218, United States.; Bayesian Health, New York, NY 10014, United States., Adams L; National Academy of Medicine, Washington, DC 20001, United States.
Source: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2025 Feb 01; Vol. 32 (2), pp. 408-412.
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9430800 Publication Model: Print Cited Medium: Internet ISSN: 1527-974X (Electronic) Linking ISSN: 10675027 NLM ISO Abbreviation: J Am Med Inform Assoc Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Payne+PRO%22">Payne PRO</searchLink>; Institute for Informatics, Data Science and Biostatistics, Washington University in St. Louis School of Medicine, St. Louis, MO 63110, United States.<br /><searchLink fieldCode="AU" term="%22Johnson+KB%22">Johnson KB</searchLink>; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, United States.<br /><searchLink fieldCode="AU" term="%22Maddox+TM%22">Maddox TM</searchLink>; Healthcare Innovation Lab, BJC HealthCare and Washington University in St. Louis School of Medicine, St. Louis, MO 63110, United States.; Division of Cardiology, Department of Medicine, Washington University in St. Louis School of Medicine, St. Louis, MO 63110, United States.<br /><searchLink fieldCode="AU" term="%22Embi+PJ%22">Embi PJ</searchLink>; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States.<br /><searchLink fieldCode="AU" term="%22Mandl+KD%22">Mandl KD</searchLink>; Computational Health Informatics Program, Boston Children's Hospital, Boston, MA 02115, United States.; Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, United States.<br /><searchLink fieldCode="AU" term="%22McGraw+D%22">McGraw D</searchLink>; Citizen Health, San Francisco, CA 94112, United States.<br /><searchLink fieldCode="AU" term="%22Saria+S%22">Saria S</searchLink>; Department of Computer Science, Johns Hopkins University Whiting School of Engineering, Baltimore, MD 21218, United States.; Department of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21218, United States.; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21218, United States.; Bayesian Health, New York, NY 10014, United States.<br /><searchLink fieldCode="AU" term="%22Adams+L%22">Adams L</searchLink>; National Academy of Medicine, Washington, DC 20001, United States.
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              Text: 2025 Feb 01
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