{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,17]],"date-time":"2026-10-17T00:45:46Z","timestamp":1792197946437,"version":"4.4.0"},"reference-count":34,"publisher":"Elsevier BV","issue":"2","license":[{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2022YFC2407405"],"award-info":[{"award-number":["2022YFC2407405"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2023YFF1204600"],"award-info":[{"award-number":["2023YFF1204600"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82030047"],"award-info":[{"award-number":["82030047"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82272029"],"award-info":[{"award-number":["82272029"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["92259303"],"award-info":[{"award-number":["92259303"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82441010"],"award-info":[{"award-number":["82441010"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82402280"],"award-info":[{"award-number":["82402280"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81227901"],"award-info":[{"award-number":["81227901"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82441011"],"award-info":[{"award-number":["82441011"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["92159305"],"award-info":[{"award-number":["92159305"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81930053"],"award-info":[{"award-number":["81930053"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82227804"],"award-info":[{"award-number":["82227804"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","journal-of-hepatology.eu","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Hepatology"],"published-print":{"date-parts":[[2025,8]]},"DOI":"10.1016\/j.jhep.2025.01.011","type":"journal-article","created":{"date-parts":[[2025,1,21]],"date-time":"2025-01-21T12:46:36Z","timestamp":1737463596000},"page":"426-439","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":39,"title":["Contrast-enhanced ultrasound-based AI model for multi-classification of focal liver lesions"],"prefix":"10.1016","volume":"83","author":[{"given":"Wenzhen","family":"Ding","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yaqing","family":"Meng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4984-6480","authenticated-orcid":false,"given":"Chuan","family":"Pang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiapeng","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Tian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8933-6392","authenticated-orcid":false,"given":"Ping","family":"Liang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2513-768X","authenticated-orcid":false,"given":"Kun","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jhep.2025.01.011_bib1","article-title":"Cancer statistics, 2024","volume":"74","author":"Rebecca","year":"2024","journal-title":"CA Cancer J Clin"},{"key":"10.1016\/j.jhep.2025.01.011_bib2","doi-asserted-by":"crossref","first-page":"1598","DOI":"10.1016\/j.jhep.2022.08.021","article-title":"Global burden of primary liver cancer in 2020 and predictions to 2040","volume":"77","author":"Rumgay","year":"2022","journal-title":"J Hepatol"},{"key":"10.1016\/j.jhep.2025.01.011_bib3","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/j.jhep.2018.09.014","article-title":"Burden of liver diseases in the world","volume":"70","author":"Asrani","year":"2019","journal-title":"J Hepatol"},{"key":"10.1016\/j.jhep.2025.01.011_bib4","doi-asserted-by":"crossref","first-page":"681","DOI":"10.1016\/j.jhep.2021.11.018","article-title":"BCLC strategy for prognosis prediction and treatment recommendation: the 2022 update","volume":"76","author":"Reig","year":"2022","journal-title":"J Hepatol"},{"key":"10.1016\/j.jhep.2025.01.011_bib5","doi-asserted-by":"crossref","first-page":"2206","DOI":"10.1002\/hep.31187","article-title":"Treatment of hepatocellular carcinoma in the precision medicine era: from treatment stage migration to therapeutic hierarchy","volume":"72","author":"Vitale","year":"2020","journal-title":"Hepatology"},{"issue":"Suppl 1","key":"10.1016\/j.jhep.2025.01.011_bib6","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1002\/hep.31424","article-title":"Local and regional therapies for hepatocellular carcinoma","volume":"73","author":"Kloeckner","year":"2021","journal-title":"Hepatology"},{"issue":"Suppl 1","key":"10.1016\/j.jhep.2025.01.011_bib7","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1002\/hep.31325","article-title":"Surgical treatments of hepatobiliary cancers","volume":"73","author":"Gunasekaran","year":"2021","journal-title":"Hepatology"},{"key":"10.1016\/j.jhep.2025.01.011_bib8","doi-asserted-by":"crossref","first-page":"848","DOI":"10.1016\/j.jhep.2008.02.005","article-title":"Contrast-enhanced ultrasound in the diagnosis of hepatocellular carcinoma","volume":"48","author":"Lencioni","year":"2008","journal-title":"J Hepatol"},{"key":"10.1016\/j.jhep.2025.01.011_bib9","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1055\/s-0042-124369","article-title":"Contrast enhanced ultrasound (CEUS) liver imaging reporting and data system (LI-RADS(R)): the official version by the American college of radiology (ACR)","volume":"38","author":"Kono","year":"2017","journal-title":"Ultraschall Med"},{"key":"10.1016\/j.jhep.2025.01.011_bib10","doi-asserted-by":"crossref","first-page":"562","DOI":"10.1055\/a-1177-0530","article-title":"Guidelines and good clinical practice recommendations for contrast enhanced ultrasound (CEUS) in the liver \u2013 update 2020 \u2013 WFUMB in cooperation with EFSUMB, AFSUMB, AIUM, and FLAUS","volume":"41","author":"Dietrich","year":"2020","journal-title":"Ultraschall der Medizin - Eur J Ultrasound"},{"key":"10.1016\/j.jhep.2025.01.011_bib11","doi-asserted-by":"crossref","DOI":"10.1148\/radiol.222801","article-title":"LI-RADS: looking back, looking forward","volume":"307","author":"Chernyak","year":"2023","journal-title":"Radiology"},{"key":"10.1016\/j.jhep.2025.01.011_bib12","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1148\/radiol.2019190878","article-title":"Evaluation of contrast-enhanced US LI-RADS version 2017: application on 2020 liver nodules in patients with hepatitis B infection","volume":"294","author":"Zheng","year":"2020","journal-title":"Radiology"},{"key":"10.1016\/j.jhep.2025.01.011_bib13","article-title":"The current and future state of AI interpretation of medical images","volume":"388","author":"Pranav","year":"2023","journal-title":"N Engl J Med"},{"key":"10.1016\/j.jhep.2025.01.011_bib14","article-title":"AI in health and medicine","volume":"28","author":"Pranav","year":"2022","journal-title":"Nat Med"},{"issue":"10","key":"10.1016\/j.jhep.2025.01.011_bib15","doi-asserted-by":"crossref","first-page":"2875","DOI":"10.1111\/jgh.15522","article-title":"Artificial intelligence assists identifying malignant versus benign liver lesions using contrast-enhanced ultrasound","volume":"36","author":"Hu","year":"2021","journal-title":"J Gastroenterol Hepatol"},{"key":"10.1016\/j.jhep.2025.01.011_bib16","doi-asserted-by":"crossref","first-page":"e503","DOI":"10.1016\/S2589-7500(23)00091-2","article-title":"Ultrasound identification of hepatic echinococcosis using a deep convolutional neural network model in China: a retrospective, large-scale, multicentre, diagnostic accuracy study","volume":"5","author":"Yang","year":"2023","journal-title":"The Lancet Digital Health"},{"key":"10.1016\/j.jhep.2025.01.011_bib17","article-title":"Efficacy of expressions of Arg-1, Hep Par-1, and CK19 in the diagnosis of the primary hepatocellular carcinoma subtypes and exclusion of the metastases","volume":"36","author":"Ihab","year":"2021","journal-title":"Histol Histopathol"},{"key":"10.1016\/j.jhep.2025.01.011_bib18","article-title":"Integrated analyses of the genetic and clinicopathological features of cholangiolocarcinoma: cholangiolocarcinoma may be characterized by mismatch-repair deficiency","volume":"263","author":"Kenta","year":"2024","journal-title":"J Pathol"},{"key":"10.1016\/j.jhep.2025.01.011_bib19","article-title":"Two-stream convolutional networks for action recognition in videos","volume":"1","author":"Simonyan","year":"2014","journal-title":"Adv Neural Inf Process Syst"},{"key":"10.1016\/j.jhep.2025.01.011_bib20","series-title":"Deep residual learning for image recognition","author":"He","year":"2016"},{"key":"10.1016\/j.jhep.2025.01.011_bib21","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11263-010-0390-2","article-title":"A database and evaluation methodology for optical flow","volume":"92","author":"Baker","year":"2010","journal-title":"Int J Computer Vis"},{"key":"10.1016\/j.jhep.2025.01.011_bib22","doi-asserted-by":"crossref","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","article-title":"Long short-term memory","volume":"9","author":"Hochreiter","year":"1997","journal-title":"Neural Comput"},{"key":"10.1016\/j.jhep.2025.01.011_bib23","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"LeCun","year":"2015","journal-title":"Nature"},{"key":"10.1016\/j.jhep.2025.01.011_bib24","doi-asserted-by":"crossref","first-page":"326","DOI":"10.1148\/radiol.2021211244","article-title":"CT\/MRI and CEUS LI-RADS major features association with hepatocellular carcinoma: individual patient data meta-analysis","volume":"302","author":"van der Pol","year":"2022","journal-title":"Radiology"},{"key":"10.1016\/j.jhep.2025.01.011_bib25","series-title":"IEEE international conference on computer vision","article-title":"Grad-CAM: visual explanations from deep networks via gradient-based localization","author":"Selvaraju","year":"2017"},{"key":"10.1016\/j.jhep.2025.01.011_bib26","article-title":"Application of the McNemar test to non-independent matched pair data","volume":"10","author":"M","year":"1991","journal-title":"Stat Med"},{"key":"10.1016\/j.jhep.2025.01.011_bib27","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-020-71796-z","article-title":"Development of machine learning-based clinical decision support system for hepatocellular carcinoma","volume":"10","author":"Choi","year":"2020","journal-title":"Sci Rep"},{"key":"10.1016\/j.jhep.2025.01.011_bib28","doi-asserted-by":"crossref","DOI":"10.1136\/jitc-2022-006514","article-title":"Radiomic and clinical data integration using machine learning predict the efficacy of anti-PD-1 antibodies-based combinational treatment in advanced breast cancer: a multicentered study","volume":"11","author":"Zhao","year":"2023","journal-title":"J Immunother Cancer"},{"key":"10.1016\/j.jhep.2025.01.011_bib29","doi-asserted-by":"crossref","first-page":"3338","DOI":"10.1007\/s00330-019-06205-9","article-title":"Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI","volume":"29","author":"Hamm","year":"2019","journal-title":"Eur Radiol"},{"key":"10.1016\/j.jhep.2025.01.011_bib30","doi-asserted-by":"crossref","first-page":"3348","DOI":"10.1007\/s00330-019-06214-8","article-title":"Deep learning for liver tumor diagnosis part II: convolutional neural network interpretation using radiologic imaging features","volume":"29","author":"Wang","year":"2019","journal-title":"Eur Radiol"},{"key":"10.1016\/j.jhep.2025.01.011_bib31","doi-asserted-by":"crossref","DOI":"10.1038\/s41467-024-45325-9","article-title":"A multicenter clinical AI system study for detection and diagnosis of focal liver lesions","volume":"15","author":"Ying","year":"2024","journal-title":"Nat Commun"},{"key":"10.1016\/j.jhep.2025.01.011_bib32","doi-asserted-by":"crossref","first-page":"723","DOI":"10.1002\/hep.29913","article-title":"Diagnosis, staging, and management of hepatocellular carcinoma: 2018 practice guidance by the American association for the study of liver diseases","volume":"68","author":"Marrero","year":"2018","journal-title":"Hepatology"},{"key":"10.1016\/j.jhep.2025.01.011_bib33","first-page":"7","article-title":"Cancer statistics, 2020","volume":"70","author":"Siegel","year":"2020","journal-title":"CA Cancer J Clin"},{"key":"10.1016\/j.jhep.2025.01.011_bib34","article-title":"Multiphase convolutional dense network for the classification of focal liver lesions on dynamic contrast-enhanced computed tomography","volume":"26","author":"Su-E","year":"2020","journal-title":"World J Gastroenterol"}],"container-title":["Journal of Hepatology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0168827825000182?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0168827825000182?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T21:09:49Z","timestamp":1773349789000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0168827825000182"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8]]},"references-count":34,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2025,8]]}},"alternative-id":["S0168827825000182"],"URL":"https:\/\/doi.org\/10.1016\/j.jhep.2025.01.011","relation":{},"ISSN":["0168-8278"],"issn-type":[{"value":"0168-8278","type":"print"}],"subject":[],"published":{"date-parts":[[2025,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Contrast-enhanced ultrasound-based AI model for multi-classification of focal liver lesions","name":"articletitle","label":"Article Title"},{"value":"Journal of Hepatology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jhep.2025.01.011","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 European Association for the Study of the Liver. Published by Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}]}}