{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,30]],"date-time":"2026-10-30T19:06:47Z","timestamp":1793387207509,"version":"4.5.0"},"reference-count":23,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","ejradiology.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["European Journal of Radiology"],"published-print":{"date-parts":[[2023,8]]},"DOI":"10.1016\/j.ejrad.2023.110932","type":"journal-article","created":{"date-parts":[[2023,6,20]],"date-time":"2023-06-20T20:42:54Z","timestamp":1687293774000},"page":"110932","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":31,"special_numbering":"C","title":["Artificial intelligence assists operators in real-time detection of focal liver lesions during ultrasound: A randomized controlled study"],"prefix":"10.1016","volume":"165","author":[{"given":"Thodsawit","family":"Tiyarattanachai","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Terapap","family":"Apiparakoon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Oracha","family":"Chaichuen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sasima","family":"Sukcharoen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sirinda","family":"Yimsawad","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sureeporn","family":"Jangsirikul","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jukkaphop","family":"Chaikajornwat","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nanicha","family":"Siriwong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chuti","family":"Burana","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Natakorn","family":"Siritaweechai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kawin","family":"Atipas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nongnapas","family":"Assawamasbunlue","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Punyot","family":"Tovichayathamrong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pitchanun","family":"Obcheuythed","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pochara","family":"Somvanapanich","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nopavut","family":"Geratikornsupuk","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nopporn","family":"Anukulkarnkusol","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pamornmas","family":"Sarakul","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Natthaporn","family":"Tanpowpong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nutcha","family":"Pinjaroen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stephen J.","family":"Kerr","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rungsun","family":"Rerknimitr","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sanparith","family":"Marukatat","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roongruedee","family":"Chaiteerakij","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.ejrad.2023.110932_b0005","doi-asserted-by":"crossref","first-page":"358","DOI":"10.1002\/hep.29086","article-title":"AASLD guidelines for the treatment of hepatocellular carcinoma","volume":"67","author":"Heimbach","year":"2018","journal-title":"Hepatology"},{"issue":"2","key":"10.1016\/j.ejrad.2023.110932_b0010","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.ejrad.2023.110932_b0015","doi-asserted-by":"crossref","unstructured":"Expert Panel on Gastrointestinal Imaging, M.R. Bashir, J.M. Horowitz, I.R. Kamel, H. Arif-Tiwari, S.K. Asrani, V. Chernyak, A. Goldstein, J.R. Grajo, N.M. Hindman, A. Kamaya, M.M. McNamara, K.K. Porter, L.B. Solnes, P.K. Srivastava, A. Zaheer, L.R. Carucci, ACR Appropriateness Criteria(R) Chronic Liver Disease, J. Am. Coll. Radiol. 17 (5S) (2020) S70\u2013S80.","DOI":"10.1016\/j.jacr.2020.01.023"},{"issue":"6","key":"10.1016\/j.ejrad.2023.110932_b0020","doi-asserted-by":"crossref","first-page":"1706","DOI":"10.1053\/j.gastro.2018.01.064","article-title":"Surveillance imaging and alpha fetoprotein for early detection of hepatocellular carcinoma in patients with cirrhosis: a meta-analysis","volume":"154","author":"Tzartzeva","year":"2018","journal-title":"Gastroenterology"},{"issue":"5","key":"10.1016\/j.ejrad.2023.110932_b0025","doi-asserted-by":"crossref","first-page":"S1184","DOI":"10.1016\/S0016-5085(17)33952-5","article-title":"Barriers to Hepatocellular Carcinoma (HCC) Surveillance in Thailand","volume":"152","author":"Sritunyarat","year":"2017","journal-title":"Gastroenterology"},{"issue":"6","key":"10.1016\/j.ejrad.2023.110932_b0030","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0252882","article-title":"Development and validation of artificial intelligence to detect and diagnose liver lesions from ultrasound images","volume":"16","author":"Tiyarattanachai","year":"2021","journal-title":"PLoS One"},{"issue":"1","key":"10.1016\/j.ejrad.2023.110932_b0035","doi-asserted-by":"crossref","first-page":"7749","DOI":"10.1038\/s41598-022-11506-z","article-title":"The feasibility to use artificial intelligence to aid detecting focal liver lesions in real-time ultrasound: a preliminary study based on videos","volume":"12","author":"Tiyarattanachai","year":"2022","journal-title":"Sci. Rep."},{"issue":"9","key":"10.1016\/j.ejrad.2023.110932_b0040","doi-asserted-by":"crossref","first-page":"1364","DOI":"10.1038\/s41591-020-1034-x","article-title":"The SPIRIT-AI and CONSORT-AI Working Group, Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension","volume":"26","author":"Liu","year":"2020","journal-title":"Nat. Med."},{"issue":"9","key":"10.1016\/j.ejrad.2023.110932_b0045","doi-asserted-by":"crossref","first-page":"1414","DOI":"10.1016\/j.cgh.2013.09.017","article-title":"Liver masses: a clinical, radiologic, and pathologic perspective","volume":"12","author":"Venkatesh","year":"2014","journal-title":"Clin. Gastroenterol. Hepatol."},{"issue":"1","key":"10.1016\/j.ejrad.2023.110932_b0050","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1007\/s00261-015-0605-7","article-title":"Prevalence of benign focal liver lesions: ultrasound investigation of 45,319 hospital patients","volume":"41","author":"Kaltenbach","year":"2016","journal-title":"Abdominal Radiol. (New York)"},{"issue":"6","key":"10.1016\/j.ejrad.2023.110932_b0055","doi-asserted-by":"crossref","first-page":"962","DOI":"10.1016\/j.hpb.2020.10.014","article-title":"Video-assisted liver ultrasound training for non-radiologists: protocol and preliminary results","volume":"23","author":"Jangsirikul","year":"2021","journal-title":"HPB"},{"key":"10.1016\/j.ejrad.2023.110932_b0060","series-title":"Ultrasound training recommendations for medical and surgical specialties","year":"2012"},{"issue":"1","key":"10.1016\/j.ejrad.2023.110932_b0065","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1016\/j.jhep.2018.03.019","article-title":"Management of hepatocellular carcinoma","volume":"69","year":"2018","journal-title":"J. Hepatol."},{"issue":"4","key":"10.1016\/j.ejrad.2023.110932_b0070","doi-asserted-by":"crossref","first-page":"678","DOI":"10.1111\/jgh.15763","article-title":"Development of novel deep multimodal representation learning-based model for the differentiation of liver tumors on B-mode ultrasound images","volume":"37","author":"Sato","year":"2022","journal-title":"J. Gastroenterol. Hepatol."},{"key":"10.1016\/j.ejrad.2023.110932_b0075","article-title":"US-based deep learning model for differentiating hepatocellular carcinoma (HCC) from other malignancy in cirrhotic patients","volume":"11","author":"Zhou","year":"2021","journal-title":"Front. Oncol."},{"issue":"4","key":"10.1016\/j.ejrad.2023.110932_b0080","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1016\/j.diii.2019.02.009","article-title":"Diagnosis of focal liver lesions from ultrasound using deep learning","volume":"100","author":"Schmauch","year":"2019","journal-title":"Diagn. Interv. Imaging"},{"issue":"1","key":"10.1016\/j.ejrad.2023.110932_b0085","doi-asserted-by":"crossref","first-page":"69","DOI":"10.3390\/bioengineering10010069","article-title":"Ensemble Learning of Multiple Models Using Deep Learning for Multiclass Classification of Ultrasound Images of Hepatic Masses","volume":"10","author":"Nakata","year":"2023","journal-title":"Bioengineering (Basel)"},{"issue":"2","key":"10.1016\/j.ejrad.2023.110932_b0090","doi-asserted-by":"crossref","first-page":"534","DOI":"10.1007\/s00261-020-02564-w","article-title":"Deep learning for differentiation of benign and malignant solid liver lesions on ultrasonography","volume":"46","author":"Xi","year":"2021","journal-title":"Abdom. Radiol. (NY)"},{"key":"10.1016\/j.ejrad.2023.110932_b0095","doi-asserted-by":"crossref","DOI":"10.1016\/j.ebiom.2020.102777","article-title":"Improving B-mode ultrasound diagnostic performance for focal liver lesions using deep learning: a multicentre study","volume":"56","author":"Yang","year":"2020","journal-title":"EBioMedicine"},{"key":"10.1016\/j.ejrad.2023.110932_b0100","doi-asserted-by":"crossref","unstructured":"N. Nishida, M. Yamakawa, T. Shiina, Y. Mekada, M. Nishida, N. Sakamoto, T. Nishimura, H. Iijima, T. Hirai, K. Takahashi, M. Sato, R. Tateishi, M. Ogawa, H. Mori, M. Kitano, H. Toyoda, C. Ogawa, M. Kudo, J.A.I. investigators, Artificial intelligence (AI) models for the ultrasonographicdiagnosis of liver tumors and comparison of diagnostic accuracies between AI and human experts, J. Gastroenterol. 57(4) (2022) 309\u2013321.","DOI":"10.1007\/s00535-022-01849-9"},{"key":"10.1016\/j.ejrad.2023.110932_b0105","doi-asserted-by":"crossref","unstructured":"Y. Xu, B. Zheng, X. Liu, T. Wu, J. Ju, S. Wang, Y. Lian, H. Zhang, T. Liang, Y. Sang, R. Jiang, G. Wang, J. Ren, T. Chen, Improving artificial intelligence pipeline for liver malignancy diagnosis using ultrasound images and video frames, Brief Bioinform. 24(1) (2023).","DOI":"10.1093\/bib\/bbac569"},{"issue":"3","key":"10.1016\/j.ejrad.2023.110932_b0110","doi-asserted-by":"crossref","DOI":"10.1148\/ryai.210110","article-title":"Deep learning for the detection, localization, and characterization of focal liver lesions on abdominal US images","volume":"4","author":"Dadoun","year":"2022","journal-title":"Radiol. Artif. Intell."},{"key":"10.1016\/j.ejrad.2023.110932_b0115","doi-asserted-by":"crossref","unstructured":"T. Nakashima, I. Tsutsumi, H. Takami, K. Doman, Y. Mekada, N. Nishida, M. Kudo, A study on liver tumor detection from an ultrasound image using deep learning, International Workshop on Advanced Imaging Technology (IWAIT) 2020, International Society for Optics and Photonics, 2020, p. 115151V.","DOI":"10.1117\/12.2566913"}],"container-title":["European Journal of Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0720048X23002462?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0720048X23002462?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T07:41:22Z","timestamp":1759995682000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0720048X23002462"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8]]},"references-count":23,"alternative-id":["S0720048X23002462"],"URL":"https:\/\/doi.org\/10.1016\/j.ejrad.2023.110932","relation":{},"ISSN":["0720-048X"],"issn-type":[{"value":"0720-048X","type":"print"}],"subject":[],"published":{"date-parts":[[2023,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Artificial intelligence assists operators in real-time detection of focal liver lesions during ultrasound: A randomized controlled study","name":"articletitle","label":"Article Title"},{"value":"European Journal of Radiology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ejrad.2023.110932","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"110932"}}