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.
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.
Bias toward allopathic medicine in the research funding and publication of study results makes it difficult for physicians and others to find accurate data about the efficacy of non-Western, nonallopathic treatments.
Clinical trials for the blood substitute PolyHeme exposed the possibility for ambiguous interpretation of the FDA’s waiver of informed consent for emergency research.
There is evidence that children who are unaware of their life-threatening diagnoses do not experience any less distress and anxiety than those who are told, and in some cases they may actually experience more.