A deep learning model improves diagnostic performance for intrahepatic cholangiocarcinoma, indicating potential for junior radiologists.
A contrast-enhanced US (CEUS)–based deep learning model significantly improved the diagnostic performance of junior and midlevel CEUS radiologists for intrahepatic cholangiocarcinoma, achieving performance levels similar to those of a senior CEUS radiologist.
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Ding et al. (2025) studied this question.
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