{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T20:50:55Z","timestamp":1791492655667,"version":"4.3.4"},"reference-count":5,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","jtcvsonline.org","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["The Journal of Thoracic and Cardiovascular Surgery"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1016\/j.jtcvs.2026.09.004","type":"journal-article","created":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T06:37:00Z","timestamp":1789627020000},"update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"title":["Commentary: Dynamic postoperative risk modeling: Is \u201creal time\u201d ready for \u201cprime time\u201d"],"prefix":"10.1016","author":[{"given":"Travis J.","family":"Miles","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3299-2668","authenticated-orcid":false,"given":"Ravi K.","family":"Ghanta","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"4","key":"10.1016\/j.jtcvs.2026.09.004_bib1","doi-asserted-by":"crossref","first-page":"1265","DOI":"10.1016\/j.jtcvs.2024.04.027","article-title":"Artificial intelligence: the future of cardiothoracic surgery","volume":"169","author":"Vaidya","year":"2025","journal-title":"J Thorac Cardiovasc Surg"},{"issue":"4","key":"10.1016\/j.jtcvs.2026.09.004_bib2","doi-asserted-by":"crossref","first-page":"2644","DOI":"10.21037\/jtd-23-1659","article-title":"Machine learning in cardiac surgery: a narrative review","volume":"16","author":"Miles","year":"2024","journal-title":"J Thorac Dis"},{"key":"10.1016\/j.jtcvs.2026.09.004_bib3","doi-asserted-by":"crossref","DOI":"10.1016\/j.jtcvs.2026.08.015","article-title":"Real-time dynamic prediction of mortality and renal replacement therapy after cardiac surgery using a time-series deep learning model","author":"El Moheb","year":"2026","journal-title":"J Thorac Cardiovasc Surg"},{"issue":"6","key":"10.1016\/j.jtcvs.2026.09.004_bib4","doi-asserted-by":"crossref","first-page":"e551","DOI":"10.1016\/j.jtcvs.2022.09.045","article-title":"Machine learning for dynamic and early prediction of acute kidney injury after cardiac surgery","volume":"166","author":"Ryan","year":"2023","journal-title":"J Thorac Cardiovasc Surg"},{"key":"10.1016\/j.jtcvs.2026.09.004_bib5","article-title":"Predicting acute kidney injury in adults after cardiac surgery with a novel clinical metric: the cardiac diuretic-responsiveness index","volume":"32","author":"Guinn","year":"2026","journal-title":"J Thorac Cardiovasc Surg Open"}],"container-title":["The Journal of Thoracic and Cardiovascular Surgery"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0022522326013000?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0022522326013000?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T20:38:19Z","timestamp":1791491899000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0022522326013000"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":5,"alternative-id":["S0022522326013000"],"URL":"https:\/\/doi.org\/10.1016\/j.jtcvs.2026.09.004","relation":{},"ISSN":["0022-5223"],"issn-type":[{"value":"0022-5223","type":"print"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Commentary: Dynamic postoperative risk modeling: Is \u201creal time\u201d ready for \u201cprime time\u201d","name":"articletitle","label":"Article Title"},{"value":"The Journal of Thoracic and Cardiovascular Surgery","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jtcvs.2026.09.004","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"https:\/\/doi.org\/10.1016\/j.jtcvs.2026.08.015","name":"associatedlink","label":"CrossRef DOI link to the associated document"},{"value":"simple-article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 by The American Association for Thoracic Surgery","name":"copyright","label":"Copyright"}]}}