Impact of Using an AI-CAD Tool in Radiology Training
Article No.: 22, Pages 1 - 5
Abstract
The integration of Artificial Intelligence (AI) in radiology, particularly through Computer-Aided Detection (CAD) systems, promises significant advancements in diagnostic accuracy, workflow optimization, and educational outcomes. Despite the potential benefits, challenges such as professional deskilling, overreliance on AI, and regulatory issues are still feared. This study aims to evaluate the practical, educational, and personal implications of introducing a CAD AI-tool in radiology residency. Through a mixed-methods approach involving ten radiology residents, we want to assess the impact of AI on diagnostics, bias, workflow, and resident-supervisor interactions. In the study, we monitor and interview residents that are analyzing chest X-rays using the CAD system. Preliminary findings from pilot studies indicate a generally positive reception but highlight the need for improvements. This research seeks to provide insights into the responsible deployment of AI in radiology training.
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Index Terms
- Impact of Using an AI-CAD Tool in Radiology Training
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Published In
October 2024
385 pages
ISBN:9798400709654
DOI:10.1145/3677045
Copyright © 2024 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 13 October 2024
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- Extended-abstract
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NordiCHI Adjunct 2024
NordiCHI Adjunct 2024: Nordic Conference on Human Computer Interaction
October 13 - 16, 2024
Uppsala, Sweden
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