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Artificial Intelligence in Radiology: Why Retrospective Performance Does Not Ensure Clinical Utility

2026-07-24

Abstract excerpt

<h4>Purpose: </h4> Artificial intelligence is increasingly developed and deployed to support radiological image interpretation, triage, segmentation and workflow prioritisation. However, high performance reported in retrospective studies does not necessarily translate into safe and useful deployment in routine practice. This narrative review examines why this translational gap persists and what radiology departmen...

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Literature Corpus work
9dde7277-4532-5e77-83aa-b47a521f9634
DOI
10.20944/preprints202607.1803.v1
Open publication

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Artificial Intelligence in Radiology: Why Retrospective Performance Does Not Ensure Clinical UtilityDOI 10.20944/preprints202607.1803.v1
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