{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T14:27:29Z","timestamp":1773930449325,"version":"3.50.1"},"reference-count":21,"publisher":"Elsevier BV","issue":"2","license":[{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"funder":[{"DOI":"10.13039\/501100001321","name":"National Research Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001321","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100024838","name":"Samsung Medical Center, Sungkyunkwan University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100024838","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100014188","name":"Ministry of Science and ICT, South Korea","doi-asserted-by":"publisher","award":["RS-2025-16069864"],"award-info":[{"award-number":["RS-2025-16069864"]}],"id":[{"id":"10.13039\/501100014188","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","hpbonline.org","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["HPB"],"published-print":{"date-parts":[[2026,2]]},"DOI":"10.1016\/j.hpb.2025.11.014","type":"journal-article","created":{"date-parts":[[2025,11,26]],"date-time":"2025-11-26T00:39:47Z","timestamp":1764117587000},"page":"236-244","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"title":["Accuracy and efficiency of artificial Intelligence\u2013Assisted three-dimensional liver volumetry in living donor evaluation based on real world prospective data"],"prefix":"10.1016","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-4222-0757","authenticated-orcid":false,"given":"Hayeon","family":"Do","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-0492-0138","authenticated-orcid":false,"given":"Jiyoung","family":"Baik","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-4497-4906","authenticated-orcid":false,"given":"Suk Min","family":"Gwon","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-2280-2272","authenticated-orcid":false,"given":"Eunjin","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3523-0776","authenticated-orcid":false,"given":"Youngju","family":"Ryu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bogeun","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3752-9605","authenticated-orcid":false,"given":"Soyoung","family":"Lim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6594-8973","authenticated-orcid":false,"given":"Namkee","family":"Oh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9809-8525","authenticated-orcid":false,"given":"Jinsoo","family":"Rhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2545-3105","authenticated-orcid":false,"given":"Gyu-Seong","family":"Choi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1903-8354","authenticated-orcid":false,"given":"Jongman","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.hpb.2025.11.014_bib1","doi-asserted-by":"crossref","first-page":"290","DOI":"10.5500\/wjt.v13.i6.290","article-title":"Liver volumetric and anatomic assessment in living donor liver transplantation: the role of modern imaging and artificial intelligence","volume":"13","author":"Machry","year":"2023","journal-title":"World J Transplant"},{"key":"10.1016\/j.hpb.2025.11.014_bib2","doi-asserted-by":"crossref","DOI":"10.1016\/j.ejrad.2020.108918","article-title":"Validation of a fully automated liver segmentation algorithm using multi-scale deep reinforcement learning and comparison versus manual segmentation","volume":"126","author":"Winkel","year":"2020","journal-title":"Eur J Radiol"},{"key":"10.1016\/j.hpb.2025.11.014_bib3","doi-asserted-by":"crossref","first-page":"91","DOI":"10.4174\/astr.2024.107.2.91","article-title":"Multivariable linear model for predicting graft weight based on 3-dimensional volumetry in regards to body weight change of living liver donor: an observational cohort study","volume":"107","author":"Han","year":"2024","journal-title":"Ann Surg Treat Res"},{"key":"10.1016\/j.hpb.2025.11.014_bib4","doi-asserted-by":"crossref","first-page":"6370","DOI":"10.1038\/s41598-022-09978-0","article-title":"Deep 3D attention CLSTM U-Net based automated liver segmentation and volumetry for the liver transplantation in abdominal CT volumes","volume":"12","author":"Jeong","year":"2022","journal-title":"Sci Rep"},{"key":"10.1016\/j.hpb.2025.11.014_bib5","article-title":"Artificial intelligence in imaging for liver disease diagnosis","volume":"12","author":"Yin","year":"2025","journal-title":"Front Med"},{"key":"10.1016\/j.hpb.2025.11.014_bib6","doi-asserted-by":"crossref","first-page":"6551","DOI":"10.1097\/JS9.0000000000001829","article-title":"Comprehensive deep learning-based assessment of living liver donor CT angiography: from vascular segmentation to volumetric analysis","volume":"110","author":"Oh","year":"2024","journal-title":"Int J Surg"},{"key":"10.1016\/j.hpb.2025.11.014_bib7","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-023-44736-w","article-title":"Automated 3D liver segmentation from hepatobiliary phase MRI for enhanced preoperative planning","volume":"13","author":"Oh","year":"2023","journal-title":"Sci Rep"},{"key":"10.1016\/j.hpb.2025.11.014_bib8","doi-asserted-by":"crossref","first-page":"1975","DOI":"10.1097\/JS9.0000000000001067","article-title":"3D auto-segmentation of biliary structure of living liver donors using magnetic resonance cholangiopancreatography for enhanced preoperative planning","volume":"110","author":"Oh","year":"2024","journal-title":"Int J Surg"},{"key":"10.1016\/j.hpb.2025.11.014_bib9","doi-asserted-by":"crossref","first-page":"6715","DOI":"10.1097\/JS9.0000000000002835","article-title":"3D auto-segmentation of pancreas cancer and surrounding anatomical structures for surgical planning","volume":"111","author":"Rhu","year":"2025","journal-title":"Int J Surg"},{"key":"10.1016\/j.hpb.2025.11.014_bib10","doi-asserted-by":"crossref","first-page":"2589","DOI":"10.1016\/S0140-6736(24)00766-9","article-title":"The South Korean health-care system in crisis","volume":"403","author":"Yoon","year":"2024","journal-title":"Lancet"},{"key":"10.1016\/j.hpb.2025.11.014_bib11","doi-asserted-by":"crossref","DOI":"10.3390\/diagnostics12030590","article-title":"Accuracy and efficiency of right-lobe graft weight estimation using deep-learning-assisted CT volumetry for living-donor liver transplantation","volume":"12","author":"Park","year":"2022","journal-title":"Diagnostics"},{"key":"10.1016\/j.hpb.2025.11.014_bib12","article-title":"Reviving medical research in Korea after impeachment of the president: a roadmap to restoration","volume":"40","author":"Yoo","year":"2025","journal-title":"J Kor Med Sci"},{"key":"10.1016\/j.hpb.2025.11.014_bib13","first-page":"1","article-title":"Three-dimensional versus two-dimensional video-assisted hepatectomy for liver disease: a meta-analysis of clinical data","volume":"16","author":"Zhang","year":"2021","journal-title":"Wideochir Inne Tech Maloinwazyjne"},{"key":"10.1016\/j.hpb.2025.11.014_bib14","doi-asserted-by":"crossref","first-page":"669","DOI":"10.1016\/j.asjsur.2022.07.006","article-title":"A meta-analysis of the three-dimensional reconstruction visualization technology for hepatectomy","volume":"46","author":"Liu","year":"2023","journal-title":"Asian J Surg"},{"key":"10.1016\/j.hpb.2025.11.014_bib15","doi-asserted-by":"crossref","DOI":"10.1111\/ctr.14164","article-title":"Image guidance using two-dimensional illustrations and three-dimensional modeling of donor anatomy during living donor hepatectomy","volume":"35","author":"Rhu","year":"2021","journal-title":"Clin Transplant"},{"key":"10.1016\/j.hpb.2025.11.014_bib16","doi-asserted-by":"crossref","first-page":"1791","DOI":"10.1097\/TP.0000000000003423","article-title":"A novel technique for bile duct division during laparoscopic living donor hepatectomy to overcome biliary complications in liver transplantation recipients: \"cut and Clip\" Rather Than \"Clip and Cut\"","volume":"105","author":"Rhu","year":"2021","journal-title":"Transplantation"},{"key":"10.1016\/j.hpb.2025.11.014_bib17","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1007\/s00423-025-03764-y","article-title":"Predicting post-hepatectomy liver failure based on future remnant liver function combined with future remnant liver volume using magnetic resonance imaging","volume":"410","author":"Kudo","year":"2025","journal-title":"Langenbecks Arch Surg"},{"key":"10.1016\/j.hpb.2025.11.014_bib18","doi-asserted-by":"crossref","DOI":"10.1093\/bjs\/znaf103","article-title":"Magnetic resonance-derived hepatic uptake index improves the identification of patients at risk of severe post-hepatectomy liver failure","volume":"112","author":"Bartholoma","year":"2025","journal-title":"Br J Surg"},{"key":"10.1016\/j.hpb.2025.11.014_bib19","article-title":"Interpretable machine learning model for predicting post-hepatectomy liver failure in hepatocellular carcinoma","volume":"15","author":"Tang","year":"2025","journal-title":"Sci Rep"},{"key":"10.1016\/j.hpb.2025.11.014_bib20","doi-asserted-by":"crossref","DOI":"10.4254\/wjh.v17.i4.103330","article-title":"Multivariable prognostic models for post-hepatectomy liver failure: an updated systematic review","volume":"17","author":"Wang","year":"2025","journal-title":"World J Hepatol"},{"key":"10.1016\/j.hpb.2025.11.014_bib21","doi-asserted-by":"crossref","DOI":"10.4240\/wjgs.v17.i2.99529","article-title":"Predicting post-hepatectomy liver failure using a nomogram based on portal vein width, inflammatory indices, and the albumin-bilirubin score","volume":"17","author":"Sun","year":"2025","journal-title":"World J Gastrointest Surg"}],"container-title":["HPB"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1365182X25017149?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1365182X25017149?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T11:33:12Z","timestamp":1773919992000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1365182X25017149"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2]]},"references-count":21,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2026,2]]}},"alternative-id":["S1365182X25017149"],"URL":"https:\/\/doi.org\/10.1016\/j.hpb.2025.11.014","relation":{},"ISSN":["1365-182X"],"issn-type":[{"value":"1365-182X","type":"print"}],"subject":[],"published":{"date-parts":[[2026,2]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Accuracy and efficiency of artificial Intelligence\u2013Assisted three-dimensional liver volumetry in living donor evaluation based on real world prospective data","name":"articletitle","label":"Article Title"},{"value":"HPB","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.hpb.2025.11.014","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 Published by Elsevier Ltd on behalf of International Hepato-Pancreato-Biliary Association Inc.","name":"copyright","label":"Copyright"}]}}