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Artificial intelligence in liver diseases: Improving diagnostics, prognostics and response prediction.

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第一作者： David,Nam

第一单位： Section of Interventional Radiology, Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.

作者： David,Nam ^[1] ; Julius,Chapiro ^[1] ; Valerie,Paradis ^[2] ; Tobias Paul,Seraphin ^[3] ; Jakob Nikolas,Kather ^[4]

作者单位： Section of Interventional Radiology, Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA. ^[1] INSERM U1149 "Centre de Recherche Sur L'inflammation", CRI, Université de Paris, Paris, France.;University Paris, AP-HP, Department of Pathology, Hôpital Beaujon, Clichy, France. ^[2] Department of Gastroenterology, Hepatology and Infectious Diseases, Medical Faculty of Heinrich Heine University Düsseldorf, University Hospital Düsseldorf, Düsseldorf, Germany.;Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany. ^[3] Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.;Pathology & Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.;Medical Oncology, National Center for Tumor Diseases (NCT), University Hospital Heidelberg, Heidelberg, Germany. ^[4]

关键词 AI, artificial intelligence Artificial intelligence CNN, convolutional neural network DICOM, Digital Imaging and Communications in Medicine HCC, hepatocellular carcinoma ML, machine learning MVI, microvascular invasion NAFLD, non-alcoholic fatty liver disease NASH, non-alcoholic steatohepatitis TACE, transarterial chemoembolisation TRIPOD, Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis WSIs, whole slide images deep learning diagnostic support system imaging machine learning multimodal data integration

DOI 10.1016/j.jhepr.2022.100443

PMID 35243281

发布时间 2022-03-05

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