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Towards a Multi-Stakeholder process for developing responsible AI governance in consumer health.
Int J Med Inform
November 2024
Division of Clinical Informatics, Beth Israel Deaconess Medical Center, Boston, MA, United States; School of Health Information Science, University of Victoria, Victoria, BC, Canada; Homewood Research Institute, Guelph, ON, Canada; Department of Medicine, Harvard Medical School, Boston, MA, United States. Electronic address:
Introduction: AI is big and moving fast into healthcare, creating opportunities and risks. However, current approaches to governance focus on high-level principles rather than tailored recommendations for specific domains like consumer health. This gap risks unintended consequences from generic guidelines misapplied across contexts and from providing answers before agreeing on the questions.
View Article and Find Full Text PDFExploring the potential utility of AI large language models for medical ethics: an expert panel evaluation of GPT-4.
J Med Ethics
January 2024
Ophthalmology, University of Alberta, Edmonton, Alberta, Canada.
Integrating large language models (LLMs) like GPT-4 into medical ethics is a novel concept, and understanding the effectiveness of these models in aiding ethicists with decision-making can have significant implications for the healthcare sector. Thus, the objective of this study was to evaluate the performance of GPT-4 in responding to complex medical ethical vignettes and to gauge its utility and limitations for aiding medical ethicists. Using a mixed-methods, cross-sectional survey approach, a panel of six ethicists assessed LLM-generated responses to eight ethical vignettes.
View Article and Find Full Text PDFStatistical power and false positive rates for interdependent outcomes are strongly influenced by test type: Implications for behavioral neuroscience.
Neuropsychopharmacology
October 2023
Injury and Recovery Laboratory, Department of Neuroscience, Ohio State University, Columbus, OH, USA.
Statistical errors in preclinical science are a barrier to reproducibility and translation. For instance, linear models (e.g.
View Article and Find Full Text PDFPotential benefits of decision aids and technology, such as artificial intelligence, used at the bedside are many and significant. Like any tools, they must be used appropriately for specific tasks, since even validated decision aids have limited utility when they are misapplied, overly relied upon, or used as a substitute for thinking carefully about clinically and ethically relevant questions. Patients are more than data points in human form, as they come to emergency departments with stories.
View Article and Find Full Text PDFMisapplying autonomy: why patient wishes cannot settle treatment decisions.
Theor Med Bioeth
December 2022
Philosophy Department, College of the Sequoias, Visalia, CA, USA.
The principle of autonomy is widely recognized to be of utmost importance in bioethics; however, we argue that this principle is often misapplied when one fails to distinguish two different contexts in medicine. When a particular patient is offered treatment options, she has the ultimate say in whether to proceed with any of those treatments. However, when deciding whether a particular intervention should be regarded as a form of medical treatment in the first place, it is the medical community who has the ultimate say.
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