Ethics of Artificial Intelligence in Breast Imaging

Author:

Morgan Matthew B1ORCID,Mates Jonathan L2

Affiliation:

1. University of Utah School of Medicine , Department of Radiology and Imaging Sciences, Salt Lake City, UT , USA

2. Manifold, Inc , Oakland, CA , USA

Abstract

AbstractThere is great interest in the development of artificial intelligence (AI) applications for medical imaging in general and specifically in breast imaging. Because of the scale of application and the potential for harm, there has been a parallel interest in assuring that these new technologies are scrutinized and applied in ethical ways. The four principles of autonomy, beneficence, non-maleficence, and justice are widely accepted as a framework for bioethical analysis. We incorporate a fifth principle of explicability (adapted from Floridi and Cowls) because of the unique considerations of AI. We review definitions of each of these principles and provide examples of their practical application to breast imaging.

Publisher

Oxford University Press (OUP)

Subject

Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

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1. Take five? A coherentist argument why medical AI does not require a new ethical principle;Theoretical Medicine and Bioethics;2024-06-08

2. Ethical principles in dental healthcare: Relevance in the current technological era of artificial intelligence;Journal of Oral Biology and Craniofacial Research;2024-05

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