European radiology
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This study aimed to determine the ultrasound (US) image plane appropriate for evaluating the taller-than-wide (TTW) sign in the risk stratification of thyroid nodules using the five widely used risk stratification systems (RSSs). ⋯ • The diagnostic performance of the taller-than-wide sign by ROC analysis was not significantly different between US image plane criteria (transverse plane vs. either transverse or longitudinal plane). • The diagnostic performances of biopsy criteria for malignancy by the five risk stratification systems were similar between the two taller-than-wide sign criteria. • The taller-than-wide sign using the transverse plane may be appropriate in the risk stratification of thyroid nodules.
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Diagnostic accuracy of artificial intelligence (AI) pneumothorax (PTX) detection in chest radiographs (CXR) is limited by the noisy annotation quality of public training data and confounding thoracic tubes (TT). We hypothesize that in-image annotations of the dehiscent visceral pleura for algorithm training boosts algorithm's performance and suppresses confounders. ⋯ • Established pneumothorax-detecting artificial intelligence algorithms trained on public training data are strongly limited and biased by confounding thoracic tubes. • We used high-quality in-image annotated training data to effectively boost algorithm performance and suppress the impact of confounding thoracic tubes. • Based on our results, we hypothesize that even hidden confounders might be effectively addressed by in-image annotations of pathology-related image features.