"I believe this type of AI implementation represents a promising direction for quality assurance in radiology. Since these systems can run in the background, they could become integrated as a safety net to mitigate diagnostic errors." - Laurens Topff
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AI-assisted double reading system able to identify missed findings on chest radiographs following repot authorization - AI Blog - ESR | European Society of Radiology %
Our study evaluated an AI-assisted double reading system for chest radiographs in two different hospital settings. The system analysed both the radiograph and the corresponding radiologistβs report to detect potential missed findings. Among 25,104 chest radiographs, clinically relevant missed findings were confirmed in 0.1% of cases, primarily consisting of unreported lung nodules, pneumothoraces, and consolidations. [β¦]







