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Investigation of optimization model for predicting immune checkpoint inhibitor treatment efficacy on contrast-enhanced computed tomography images of hepatocellular carcinoma using deep learning

2023-08-28

Abstract excerpt

<h4>Background: </h4> & Aims Although the use of immune checkpoint inhibitor (ICIs)-targeted agents for unresectable hepatocellular carcinoma (HCC) is promising, individual response variability exists. Therefore, we developed an artificial intelligence (AI)-based model to predict treatment efficacy using pre-ICI contrast-enhanced computed tomography (CT) imaging characteristics. Approach & Results We evaluated th...

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Literature Corpus work
9d1436cf-b745-540a-9d57-cf415fc609e3
DOI
10.21203/rs.3.rs-3273773/v1
Open publication

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Investigation of optimization model for predicting immune checkpoint inhibitor treatment efficacy on contrast-enhanced computed tomography images of hepatocellular carcinoma using deep learningDOI 10.21203/rs.3.rs-3273773/v1
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