{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T16:14:23Z","timestamp":1791303263719,"version":"4.1.0"},"reference-count":53,"publisher":"Elsevier BV","issue":"5","license":[{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,2,28]],"date-time":"2024-02-28T00:00:00Z","timestamp":1709078400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002855","name":"Ministry of Science and Technology of the People's Republic of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002855","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["cell.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Med"],"published-print":{"date-parts":[[2024,5]]},"DOI":"10.1016\/j.medj.2024.02.006","type":"journal-article","created":{"date-parts":[[2024,3,15]],"date-time":"2024-03-15T10:35:06Z","timestamp":1710498906000},"page":"414-431.e5","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":25,"title":["Artificial-intelligence-based risk prediction and mechanism discovery for atrial fibrillation using heart beat-to-beat intervals"],"prefix":"10.1016","volume":"5","author":[{"given":"Fan","family":"Lin","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8628-2074","authenticated-orcid":false,"given":"Peng","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuting","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuhang","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dun","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lun","family":"Tan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yina","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dao Wen","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoyun","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fei","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiang","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.medj.2024.02.006_bib1","doi-asserted-by":"crossref","first-page":"404","DOI":"10.1038\/s41569-022-00820-8","article-title":"Epidemiology and modifiable risk factors for atrial fibrillation","volume":"20","author":"Elliott","year":"2023","journal-title":"Nat. Rev. Cardiol."},{"key":"10.1016\/j.medj.2024.02.006_bib2","doi-asserted-by":"crossref","first-page":"1075","DOI":"10.1093\/eurheartj\/ehz834","article-title":"Screening for atrial fibrillation: a call for evidence","volume":"41","author":"Jones","year":"2020","journal-title":"Eur. Heart J."},{"key":"10.1016\/j.medj.2024.02.006_bib3","doi-asserted-by":"crossref","first-page":"1823","DOI":"10.1038\/s41591-022-01979-w","article-title":"Smartphone-based screening for atrial fibrillation: a pragmatic randomized clinical trial","volume":"28","author":"Rizas","year":"2022","journal-title":"Nat. Med."},{"key":"10.1016\/j.medj.2024.02.006_bib4","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1093\/eurheartj\/ehaa612","volume":"42","author":"Hindricks","year":"2021","journal-title":"Eur. Heart J."},{"key":"10.1016\/j.medj.2024.02.006_bib5","doi-asserted-by":"crossref","first-page":"1115","DOI":"10.1161\/01.STR.0000166053.83476.4a","article-title":"Contribution of atrial fibrillation to incidence and outcome of ischemic stroke: results from a population-based study","volume":"36","author":"Marini","year":"2005","journal-title":"Stroke"},{"key":"10.1016\/j.medj.2024.02.006_bib6","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1056\/NEJMoa1817591","article-title":"Alcohol Abstinence in Drinkers with Atrial Fibrillation","volume":"382","author":"Voskoboinik","year":"2020","journal-title":"N.\u00a0Engl. J. Med."},{"key":"10.1016\/j.medj.2024.02.006_bib7","doi-asserted-by":"crossref","first-page":"1929","DOI":"10.1093\/europace\/euy117","article-title":"PREVEntion and regReSsive Effect of weight-loss and risk factor modification on Atrial Fibrillation: the REVERSE-AF study","volume":"20","author":"Middeldorp","year":"2018","journal-title":"Europace"},{"key":"10.1016\/j.medj.2024.02.006_bib8","doi-asserted-by":"crossref","first-page":"1206","DOI":"10.1016\/S0140-6736(22)01637-3","article-title":"Artificial intelligence-guided screening for atrial fibrillation using electrocardiogram during sinus rhythm: a prospective non-randomised interventional trial","volume":"400","author":"Noseworthy","year":"2022","journal-title":"Lancet"},{"key":"10.1016\/j.medj.2024.02.006_bib9","doi-asserted-by":"crossref","first-page":"861","DOI":"10.1016\/S0140-6736(19)31721-0","article-title":"An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction","volume":"394","author":"Attia","year":"2019","journal-title":"Lancet"},{"key":"10.1016\/j.medj.2024.02.006_bib10","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1161\/CIRCULATIONAHA.121.057480","article-title":"ECG-Based Deep Learning and Clinical Risk Factors to Predict Atrial Fibrillation","volume":"145","author":"Khurshid","year":"2022","journal-title":"Circulation"},{"key":"10.1016\/j.medj.2024.02.006_bib11","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-021-92172-5","article-title":"A new deep learning algorithm of 12-lead electrocardiogram for identifying atrial fibrillation during sinus rhythm","volume":"11","author":"Baek","year":"2021","journal-title":"Sci. Rep."},{"key":"10.1016\/j.medj.2024.02.006_bib12","doi-asserted-by":"crossref","first-page":"576","DOI":"10.1093\/ehjdh\/ztab071","article-title":"Atrial fibrillation risk prediction from the 12-lead electrocardiogram using digital biomarkers and deep representation learning","volume":"2","author":"Biton","year":"2021","journal-title":"Eur. Heart J. Digit. Health"},{"key":"10.1016\/j.medj.2024.02.006_bib13","doi-asserted-by":"crossref","first-page":"1500","DOI":"10.1161\/CIRCRESAHA.114.303772","article-title":"Role of the autonomic nervous system in atrial fibrillation: pathophysiology and therapy","volume":"114","author":"Chen","year":"2014","journal-title":"Circ. Res."},{"key":"10.1016\/j.medj.2024.02.006_bib14","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1146\/annurev-physiol-031720-085307","article-title":"Dynamics of Atrial Fibrillation Mechanisms and Comorbidities","volume":"83","author":"Heijman","year":"2021","journal-title":"Annu. Rev. Physiol."},{"key":"10.1016\/j.medj.2024.02.006_bib15","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1038\/nrcardio.2011.139","article-title":"Neural mechanisms of atrial arrhythmias","volume":"9","author":"Shen","year":"2011","journal-title":"Nat. Rev. Cardiol."},{"key":"10.1016\/j.medj.2024.02.006_bib16","doi-asserted-by":"crossref","first-page":"1341","DOI":"10.1093\/europace\/euv015","article-title":"Advances in heart rate variability signal analysis: joint position statement by the e-Cardiology ESC Working Group and the European Heart Rhythm Association co-endorsed by the Asia Pacific Heart Rhythm Society","volume":"17","author":"Sassi","year":"2015","journal-title":"Europace"},{"key":"10.1016\/j.medj.2024.02.006_bib17","first-page":"514","article-title":"Heart rate variability: a noninvasive electrocardiographic method to measure the autonomic nervous system","volume":"134","author":"Sztajzel","year":"2004","journal-title":"Swiss Med. Wkly."},{"key":"10.1016\/j.medj.2024.02.006_bib18","doi-asserted-by":"crossref","first-page":"1376","DOI":"10.1016\/0002-8703(94)90059-0","article-title":"Heart rate variability: a measure of cardiac autonomic tone","volume":"127","author":"Stein","year":"1994","journal-title":"Am. Heart J."},{"key":"10.1016\/j.medj.2024.02.006_bib19","doi-asserted-by":"crossref","DOI":"10.1111\/eci.13174","article-title":"Heart rate variability in atrial fibrillation: The balance between sympathetic and parasympathetic nervous system","volume":"49","author":"Khan","year":"2019","journal-title":"Eur. J. Clin. Invest."},{"key":"10.1016\/j.medj.2024.02.006_bib20","doi-asserted-by":"crossref","first-page":"3702","DOI":"10.1038\/s41598-022-07783-3","article-title":"Higher heart rate variability as a predictor of atrial fibrillation in patients with hypertension","volume":"12","author":"Kim","year":"2022","journal-title":"Sci. Rep."},{"key":"10.1016\/j.medj.2024.02.006_bib21","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1109\/CIC.2005.1588038","article-title":"Prediction of Maintenance of Sinus Rhythm Using Heart Rate Variability Characteristics after Conversion in Patients with Atrial Fibrillation","volume":"2005","author":"Varoneckas","year":"2005","journal-title":"Comput. Cardiol."},{"key":"10.1016\/j.medj.2024.02.006_bib22","article-title":"Prognostic value of heart rate variability in atrial fibrillation recurrence following catheter ablation: A systematic review and meta-analysis","volume":"9","author":"Zhang","year":"2022","journal-title":"Front. Cardiovasc. Med."},{"key":"10.1016\/j.medj.2024.02.006_bib23","doi-asserted-by":"crossref","first-page":"465","DOI":"10.1038\/s41569-020-00503-2","article-title":"Artificial intelligence-enhanced electrocardiography in cardiovascular disease management","volume":"18","author":"Siontis","year":"2021","journal-title":"Nat. Rev. Cardiol."},{"key":"10.1016\/j.medj.2024.02.006_bib24","doi-asserted-by":"crossref","first-page":"610","DOI":"10.1038\/s42256-021-00338-7","article-title":"AI for radiographic COVID-19 detection selects shortcuts over signal","volume":"3","author":"DeGrave","year":"2021","journal-title":"Nat. Mach. Intell."},{"key":"10.1016\/j.medj.2024.02.006_bib25","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1016\/j.inffus.2019.12.012","article-title":"Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI","volume":"58","author":"Barredo Arrieta","year":"2020","journal-title":"INFORM FUSION"},{"key":"10.1016\/j.medj.2024.02.006_bib26","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1136\/bmj.312.7023.71","article-title":"Evidence based medicine: what it is and what it isn't","volume":"312","author":"Sackett","year":"1996","journal-title":"BMJ"},{"key":"10.1016\/j.medj.2024.02.006_bib27","article-title":"Clinical Risk Score for the Prediction of Incident Atrial Fibrillation: Derivation in 7 220 654 Taiwan Patients With 438 930 Incident Atrial Fibrillations During a 16-Year Follow-Up","volume":"10","author":"Chao","year":"2021","journal-title":"J.\u00a0Am. Heart Assoc."},{"key":"10.1016\/j.medj.2024.02.006_bib28","doi-asserted-by":"crossref","first-page":"510","DOI":"10.1016\/j.chest.2018.09.011","article-title":"A simple clinical risk score (C2HEST) for predicting incident atrial fibrillation in Asian subjects: derivation in 471,446 Chinese subjects, with internal validation and external application in 451,199 Korean subjects","volume":"155","author":"Li","year":"2019","journal-title":"Chest"},{"key":"10.1016\/j.medj.2024.02.006_bib29","series-title":"Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization","first-page":"618","author":"Selvaraju","year":"2017"},{"key":"10.1016\/j.medj.2024.02.006_bib30","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1016\/j.jacc.2016.10.059","article-title":"Cardiac Autonomic Dysfunction and Incidence of Atrial Fibrillation: Results From 20 Years Follow-Up","volume":"69","author":"Agarwal","year":"2017","journal-title":"J.\u00a0Am. Coll. Cardiol."},{"key":"10.1016\/j.medj.2024.02.006_bib31","doi-asserted-by":"crossref","first-page":"719","DOI":"10.1111\/jce.12402","article-title":"Heart rate variability findings as a predictor of atrial fibrillation in middle-aged population","volume":"25","author":"Perki\u00f6m\u00e4ki","year":"2014","journal-title":"J.\u00a0Cardiovasc. Electrophysiol."},{"key":"10.1016\/j.medj.2024.02.006_bib32","doi-asserted-by":"crossref","first-page":"1684","DOI":"10.1016\/j.amjcard.2019.08.025","article-title":"Resting Heart Rate, Short-Term Heart Rate Variability and Incident Atrial Fibrillation (from the Multi-Ethnic Study of Atherosclerosis (MESA))","volume":"124","author":"Habibi","year":"2019","journal-title":"Am. J. Cardiol."},{"key":"10.1016\/j.medj.2024.02.006_bib33","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1016\/j.ijcard.2009.09.543","article-title":"The relationship of autonomic imbalance, heart rate variability and cardiovascular disease risk factors","volume":"141","author":"Thayer","year":"2010","journal-title":"Int. J. Cardiol."},{"key":"10.1016\/j.medj.2024.02.006_bib34","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1016\/j.jacc.2007.03.045","article-title":"Left stellate ganglion and vagal nerve activity and cardiac arrhythmias in ambulatory dogs with pacing-induced congestive heart failure","volume":"50","author":"Ogawa","year":"2007","journal-title":"J.\u00a0Am. Coll. Cardiol."},{"key":"10.1016\/j.medj.2024.02.006_bib35","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1007\/s00395-010-0149-5","article-title":"Molecular characterization of thyroid hormone-inhibited atrial L-type calcium channel expression: implication for atrial fibrillation in hyperthyroidism","volume":"106","author":"Chen","year":"2011","journal-title":"Basic Res. Cardiol."},{"key":"10.1016\/j.medj.2024.02.006_bib36","doi-asserted-by":"crossref","first-page":"627","DOI":"10.1536\/ihj.50.627","article-title":"Influences of autonomic nervous system on atrial arrhythmogenic substrates and the incidence of atrial fibrillation in diabetic heart","volume":"50","author":"Otake","year":"2009","journal-title":"Int. Heart J."},{"key":"10.1016\/j.medj.2024.02.006_bib37","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1016\/S0735-1097(00)01039-1","article-title":"Heart rate variability and early recurrence of atrial fibrillation after electrical cardioversion","volume":"37","author":"Lombardi","year":"2001","journal-title":"J.\u00a0Am. Coll. Cardiol."},{"key":"10.1016\/j.medj.2024.02.006_bib38","doi-asserted-by":"crossref","first-page":"3791","DOI":"10.1109\/JBHI.2022.3173655","article-title":"Semi-Supervised Learning for Automatic Atrial Fibrillation Detection in 24-Hour Holter Monitoring","volume":"26","author":"Zhang","year":"2022","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"10.1016\/j.medj.2024.02.006_bib39","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1093\/ehjdh\/ztad018","article-title":"Automatic screening of patients with atrial fibrillation from 24-h Holter recording using deep learning","volume":"4","author":"Zhang","year":"2023","journal-title":"Eur. Heart J. Digit. Health"},{"key":"10.1016\/j.medj.2024.02.006_bib40","doi-asserted-by":"crossref","first-page":"2445","DOI":"10.1056\/NEJMp1303712","article-title":"From mindless to mindful practice--cognitive bias and clinical decision making","volume":"368","author":"Croskerry","year":"2013","journal-title":"N.\u00a0Engl. J. Med."},{"key":"10.1016\/j.medj.2024.02.006_bib41","doi-asserted-by":"crossref","first-page":"59","DOI":"10.7326\/M19-2548","article-title":"Should Health Care Demand Interpretable Artificial Intelligence or Accept \"Black Box\" Medicine?","volume":"172","author":"Wang","year":"2020","journal-title":"Ann. Intern. Med."},{"key":"10.1016\/j.medj.2024.02.006_bib42","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1038\/s41586-021-04086-x","article-title":"Advancing mathematics by guiding human intuition with AI","volume":"600","author":"Davies","year":"2021","journal-title":"Nature"},{"key":"10.1016\/j.medj.2024.02.006_bib43","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1038\/s41586-022-04998-2","article-title":"Evidence for intrinsic charm quarks in the proton","volume":"608","year":"2022","journal-title":"Nature"},{"key":"10.1016\/j.medj.2024.02.006_bib44","doi-asserted-by":"crossref","first-page":"2615","DOI":"10.1161\/01.CIR.0000066915.15187.51","article-title":"Alterations in atrial electrophysiology and tissue structure in a canine model of chronic atrial dilatation due to mitral regurgitation","volume":"107","author":"Verheule","year":"2003","journal-title":"Circulation"},{"key":"10.1016\/j.medj.2024.02.006_bib45","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.ahj.2023.10.005","article-title":"Realtime Diagnosis from Electrocardiogram Artificial Intelligence-Guided Screening for Atrial Fibrillation with Long Follow-Up (REGAL): Rationale and design of a pragmatic, decentralized, randomized controlled trial","volume":"267","author":"Yao","year":"2024","journal-title":"Am. Heart J."},{"key":"10.1016\/j.medj.2024.02.006_bib46","doi-asserted-by":"crossref","first-page":"1167","DOI":"10.1056\/NEJMoa2303062","article-title":"NOAH-AFNET 6 Investigators. Anticoagulation with Edoxaban in Patients with Atrial High-Rate Episodes","volume":"389","author":"Kirchhof","year":"2023","journal-title":"N.\u00a0Engl. J. Med."},{"key":"10.1016\/j.medj.2024.02.006_bib47","article-title":"Direct Oral Anticoagulants for Stroke Prevention in Patients with Device-Detected Atrial Fibrillation: A Study-Level Meta-Analysis of the NOAH-AFNET 6 and ARTESiA Trials","author":"McIntyre","year":"2023","journal-title":"Circulation"},{"key":"10.1016\/j.medj.2024.02.006_bib48","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1038\/s41591-022-02160-z","article-title":"The next generation of evidence-based medicine","volume":"29","author":"Subbiah","year":"2023","journal-title":"Nat. Med."},{"key":"10.1016\/j.medj.2024.02.006_bib49","first-page":"227","article-title":"A new method for detecting atrial fibrillation using RR intervals","volume":"10","author":"Moody","year":"1983","journal-title":"Proc. Comput. Cardiol."},{"key":"10.1016\/j.medj.2024.02.006_bib50","doi-asserted-by":"crossref","first-page":"466","DOI":"10.1093\/europace\/eum096","article-title":"Abrupt changes in fibrillatory wave characteristics at the termination of paroxysmal atrial fibrillation in humans","volume":"9","author":"Petrutiu","year":"2007","journal-title":"Europace"},{"key":"10.1016\/j.medj.2024.02.006_bib51","doi-asserted-by":"crossref","first-page":"E215","DOI":"10.1161\/01.CIR.101.23.e215","article-title":"PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals","volume":"101","author":"Goldberger","year":"2000","journal-title":"Circulation"},{"key":"10.1016\/j.medj.2024.02.006_bib52","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1038\/s41597-022-01202-y","article-title":"Autonomic aging - A dataset to quantify changes of cardiovascular autonomic function during healthy aging","volume":"9","author":"Schumann","year":"2022","journal-title":"Sci. Data"},{"key":"10.1016\/j.medj.2024.02.006_bib53","doi-asserted-by":"crossref","first-page":"1287","DOI":"10.1161\/CIRCULATIONAHA.120.047829","article-title":"Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead ECG and Help Identify Those at Risk of Atrial Fibrillation-Related Stroke","volume":"143","author":"Raghunath","year":"2021","journal-title":"Circulation"}],"container-title":["Med"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2666634024000783?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2666634024000783?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,5,10]],"date-time":"2024-05-10T23:16:31Z","timestamp":1715382991000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2666634024000783"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5]]},"references-count":53,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2024,5]]}},"alternative-id":["S2666634024000783"],"URL":"https:\/\/doi.org\/10.1016\/j.medj.2024.02.006","relation":{},"ISSN":["2666-6340"],"issn-type":[{"value":"2666-6340","type":"print"}],"subject":[],"published":{"date-parts":[[2024,5]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Artificial-intelligence-based risk prediction and mechanism discovery for atrial fibrillation using heart beat-to-beat intervals","name":"articletitle","label":"Article Title"},{"value":"Med","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.medj.2024.02.006","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 The Author(s). Published by Elsevier Inc.","name":"copyright","label":"Copyright"}]}}