Nicole Martinez-Martin, JD, PhD, Laura B. Dunn, MD, and Laura Weiss Roberts, MD, MA
Calibrating a machine learning model with data from a local setting is key to predicting psychosis outcomes. Clinicians also need to understand an algorithm’s limitations and disclose clinically and ethically relevant information to patients.
AMA J Ethics. 2018;20(9):E804-811. doi:
10.1001/amajethics.2018.804.
Rebekah Davis Reed, PhD, JD and Erik L. Antonsen, PhD, MD
Though the National Aeronautics and Space Administration’s collection of disaggregated genetic data for occupational surveillance and research raises numerous privacy concerns, the Genetic Information Nondiscrimination Act of 2008 allows genetic information to be used to develop personal pharmaceuticals.
AMA J Ethics. 2018;20(9):E849-856. doi:
10.1001/amajethics.2018.849.
Cynthia E. Schairer, PhD, Caryn Kseniya Rubanovich, MS, and Cinnamon S. Bloss, PhD
Questions about data privacy need to be addressed when research institutions negotiate with companies developing mobile health applications. Commercial terms of use and data sharing notifications should be reviewed before use in human subject research settings.
AMA J Ethics. 2018;20(9):E864-872. doi:
10.1001/amajethics.2018.864.
Dr Matthew C. Bobel joins Ethics Talk to discuss his article, coauthored with Dr Robert K. Cleary: “How Should Risk Be Communicated to Patients When Developing Resident Surgeon Robotic Skills?”