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Algorithmic transparency and interpretability measures improve radiologists’ performance in BI-RADS 4 classification
15
Zitationen
9
Autoren
2022
Jahr
Abstract
• AI-based assistance significantly improved the diagnostic accuracy of radiologists in classifying BI-RADS 4 mammography lesions. • Trust in the algorithm's performance was mostly dependent on the certainty of the prediction in combination with a reasonable heatmap. • Personality traits seem to influence human-AI collaboration. Radiologists with specific personality traits were more likely to change their classification according to the algorithm's prediction than others.
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