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Improving Detection of Intrahepatic Cholangiocarcinoma with a Contrast-enhanced US–based Deep Learning Model

Year: 2025

Type: article

Abstract: 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.

Source: Radiology Imaging Cancer

DOI: 10.1148/rycan.250078

Authors: WenZhen Ding, Bing Li, Ling Zhao, Lin Zheng, Xin Li, Shuaiqi Liu, Jie Yu, Ping Liang

Institutions: Chinese Academy of Sciences, Institute of Automation, Chinese PLA General Hospital

Language: English

Topic: Cholangiocarcinoma and Gallbladder Cancer Studies

Subfield: Surgery

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

Funders: National Natural Science Foundation of China, Ministry of Science and Technology of the People's Republic of China

Awards: G3794587856, G4118662650, G4909231345, G4979478342, G4983132281, G5004151323, G5448334256, G5759745633, G5848465347, G6640590384, G6971745924, G7120447790, G761626338, G766873151, G8714275139, G997884740

OpenAlex ID: W4416208706

FWCI: 1.785

Cites: 27

Cited by: 2

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