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Is AI the Ultimate QA?

Edmund M Weisberg1, Linda C Chu2, Benjamin D Nguyen3

  • 1The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Medicine, 601 North Caroline Street, MD, 21287, Baltimore, USA. eweisbe1@jhmi.edu.

Journal of Digital Imaging
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PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) can enhance diagnostic radiology by acting as a quality assurance tool, not a replacement for radiologists. This novel AI workflow identifies critical care gaps by comparing imaging findings with radiologist reports.

Failed At:

2026-06-19T13:39:25.568565+00:00

Keywords:
Artificial intelligence (AI)Computed tomography (CT)Computer-aided design (CAD)Computer-aided detection (CADe)Computer-aided diagnosis (CADx)Natural language processing (NLP)Quality assurance (QA)

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