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Implementing Artificial Intelligence Algorithms in the Radiology Workflow: Challenges and Considerations

Authors :
Panagiotis Korfiatis, PhD
Timothy L. Kline, PhD
Holly M. Meyer, MS
Sana Khalid, MS
Timothy Leiner, MD
Brenna T. Loufek, MS
Daniel Blezek, PhD
David E. Vidal, JD
Robert P. Hartman, MD
Lori J. Joppa, MBA
Andrew D. Missert, PhD
Theodora A. Potretzke, MD
Jerome P. Taubel
Jason A. Tjelta, BS
Matthew R. Callstrom, MD
Eric E. Williamson, MD
Source :
Mayo Clinic Proceedings: Digital Health, Vol 3, Iss 1, Pp 100188- (2025)
Publication Year :
2025
Publisher :
Elsevier, 2025.

Abstract

Integration of AI-enabled algorithms into the radiology workflow presents a complex array of challenges that span operational, technical, clinical, and regulatory domains. Successfully overcoming these hurdles requires a multifaceted approach, including strategic planning, educational initiatives, and careful consideration of the practical implications for radiologists' workloads. Institutions must navigate these challenges with a clear understanding of the potential benefits and limitations of both vended and in-house developed AI tools.

Details

Language :
English
ISSN :
29497612
Volume :
3
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Mayo Clinic Proceedings: Digital Health
Publication Type :
Academic Journal
Accession number :
edsdoj.6a438c36ee754c239ead9d8f0c6e4af5
Document Type :
article
Full Text :
https://doi.org/10.1016/j.mcpdig.2024.100188