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Semin intervent Radiol 2023; 40(03): 323-326
DOI: 10.1055/s-0043-1769905
Ethics Corner

Ethical Considerations for Artificial Intelligence in Interventional Radiology: Balancing Innovation and Patient Care

Authors

  • Helena D. Rockwell

    1   School of Medicine, University of California, San Diego, La Jolla, California

  • Eric D. Cyphers

    2   Department of Bioethics, Columbia University, New York, New York
    3   Philadelphia College of Osteopathic Medicine, Philadelphia, Pennsylvania

  • Mina S. Makary

    4   Division of Interventional Radiology, Department of Radiology, The Ohio State University, Columbus, Ohio

  • Eric J. Keller

    5   Division of Interventional Radiology, Department of Radiology, Stanford University Medical Center, Stanford, California

Funding None.
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Artificial intelligence (AI) encompasses computational algorithms that, partially or completely, autonomously perform beneficial tasks usually considered representative of human intelligence.[1] This revolutionary technology has the potential to shape the scope of healthcare in incredible ways. From data-driven treatment recommendations, real-time intraprocedural support, predicting outcomes, and more, there are vast possibilities for implementing AI in interventional radiology (IR) to help maximize patient care.[2] [3] [4] [5] While there exists much enthusiasm for integrating this cutting-edge technology in IR, there are many ethical issues to consider in its use, such as questions about data ownership and distribution, culpability in the setting of AI-associated adverse events, and amplification of inequities and bias. This article explores some of these challenges and suggests a framework for navigating them.



Publication History

Article published online:
20 July 2023

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