{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T07:06:02Z","timestamp":1784531162197,"version":"3.55.0"},"reference-count":24,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T00:00:00Z","timestamp":1784160000000},"content-version":"vor","delay-in-days":15,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100020595","name":"Ministry of Science and Technology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100020595","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005762","name":"National Taiwan University Hospital","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100005762","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of the Formosan Medical Association"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.jfma.2026.07.021","type":"journal-article","created":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T11:37:05Z","timestamp":1784288225000},"update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"title":["An explainable real-time artificial intelligence -assisted system to reduce intradialytic hypotension"],"prefix":"10.1016","author":[{"given":"Cheng-Yen","family":"Lee","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi-Ting","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chung-Che","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yong-Ci","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin-Hui","family":"Tan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tai-Shuan","family":"Lai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yen-Wen","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jyh-Shing Roger","family":"Jang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9273-3153","authenticated-orcid":false,"given":"Yu-Hsiang","family":"Chou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"Suppl 1","key":"10.1016\/j.jfma.2026.07.021_bib1","doi-asserted-by":"crossref","first-page":"S5","DOI":"10.1016\/j.jfma.2021.12.013","article-title":"Trends in the incidence and prevalence of end-stage kidney disease requiring dialysis in Taiwan: 2010-2018","volume":"121","author":"Lai","year":"2022","journal-title":"J Formos Med Assoc"},{"key":"10.1016\/j.jfma.2026.07.021_bib2","doi-asserted-by":"crossref","first-page":"497","DOI":"10.1159\/000500877","article-title":"The prevalence of intradialytic hypotension in patients on conventional hemodialysis: a systematic review with meta-analysis","volume":"49","author":"Kuipers","year":"2019","journal-title":"Am J Nephrol"},{"key":"10.1016\/j.jfma.2026.07.021_bib3","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1016\/j.ekir.2022.10.031","article-title":"Why is intradialytic hypotension the commonest complication of outpatient dialysis treatments?","volume":"8","author":"Davenport","year":"2023","journal-title":"Kidney Int Rep"},{"key":"10.1016\/j.jfma.2026.07.021_bib4","doi-asserted-by":"crossref","first-page":"724","DOI":"10.1681\/ASN.2014020222","article-title":"Association of mortality risk with various definitions of intradialytic hypotension","volume":"26","author":"Flythe","year":"2015","journal-title":"J Am Soc Nephrol"},{"key":"10.1016\/j.jfma.2026.07.021_bib5","doi-asserted-by":"crossref","first-page":"2124","DOI":"10.2215\/CJN.02680314","article-title":"Intradialytic hypotension and risk of cardiovascular disease","volume":"9","author":"Stef\u00e1nsson","year":"2014","journal-title":"Clin J Am Soc Nephrol"},{"key":"10.1016\/j.jfma.2026.07.021_bib6","doi-asserted-by":"crossref","first-page":"805","DOI":"10.2215\/CJN.06810619","article-title":"Intradialytic hypotension and cardiac Arrhythmias in patients undergoing maintenance hemodialysis: results from the monitoring in dialysis study","volume":"15","author":"Mc Causland","year":"2020","journal-title":"Clin J Am Soc Nephrol"},{"key":"10.1016\/j.jfma.2026.07.021_bib7","doi-asserted-by":"crossref","first-page":"2511","DOI":"10.1681\/ASN.2016060704","article-title":"Relationship between hypotension and cerebral ischemia during hemodialysis","volume":"28","author":"MacEwen","year":"2017","journal-title":"J Am Soc Nephrol"},{"key":"10.1016\/j.jfma.2026.07.021_bib8","doi-asserted-by":"crossref","first-page":"2052","DOI":"10.1681\/ASN.2019050461","article-title":"Intradialytic cerebral hypoperfusion as mechanism for cognitive impairment in patients on hemodialysis","volume":"30","author":"Wolfgram","year":"2019","journal-title":"J Am Soc Nephrol"},{"key":"10.1016\/j.jfma.2026.07.021_bib9","doi-asserted-by":"crossref","first-page":"2310","DOI":"10.1093\/ndt\/gfad064","article-title":"Prediction of intradialytic hypotension using pre-dialysis features-a deep learning-based artificial intelligence model","volume":"38","author":"Lee","year":"2023","journal-title":"Nephrol Dial Transplant"},{"key":"10.1016\/j.jfma.2026.07.021_bib10","doi-asserted-by":"crossref","first-page":"72065","DOI":"10.1109\/ACCESS.2022.3189018","article-title":"Machine-learning model to predict the intradialytic hypotension based on clinical-analytical data","volume":"10","author":"Mendoza-Pitt\u00ed","year":"2022","journal-title":"IEEE Access"},{"key":"10.1016\/j.jfma.2026.07.021_bib11","doi-asserted-by":"crossref","first-page":"396","DOI":"10.2215\/CJN.09280620","article-title":"Deep learning model for real-time prediction of intradialytic hypotension","volume":"16","author":"Lee","year":"2021","journal-title":"Clin J Am Soc Nephrol"},{"issue":"8","key":"10.1016\/j.jfma.2026.07.021_bib12","doi-asserted-by":"crossref","first-page":"2077","DOI":"10.1007\/s40620-025-02288-4","article-title":"Prediction of intradialytic hypotension by machine learning: a systematic review","volume":"38","author":"Ninan","year":"2025","journal-title":"J Nephrol"},{"issue":"11","key":"10.1016\/j.jfma.2026.07.021_bib13","doi-asserted-by":"crossref","first-page":"sfaf323","DOI":"10.1093\/ckj\/sfaf323","article-title":"The BestShape artificial intelligence system for real-time prediction of intradialytic hypotension-clinical outcomes after four-year follow-up","volume":"18","author":"Lin","year":"2025","journal-title":"Clin Kidney J"},{"issue":"1","key":"10.1016\/j.jfma.2026.07.021_bib14","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1186\/s12911-024-02681-2","article-title":"Decision threshold models in medical decision making: a scoping literature review","volume":"24","author":"Scarffe","year":"2024","journal-title":"BMC Med Inform Decis Mak"},{"key":"10.1016\/j.jfma.2026.07.021_bib15","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijmedinf.2024.105538","article-title":"Personalized prediction of intradialytic hypotension in clinical practice: development and evaluation of a novel AI dashboard incorporating risk factors from previous and current dialysis sessions","volume":"190","author":"Yang","year":"2024","journal-title":"Int J Med Inform"},{"key":"10.1016\/j.jfma.2026.07.021_bib16","article-title":"Machine learning model to predict hypotension after starting continuous renal replacement therapy","volume":"11","author":"Kang","year":"2021","journal-title":"Sci Rep"},{"key":"10.1016\/j.jfma.2026.07.021_bib17","series-title":"Advances in neural information processing systems","article-title":"Unbiased boosting with categorical features","author":"Prokhorenkova","year":"2018"},{"key":"10.1016\/j.jfma.2026.07.021_bib18","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1186\/s40537-020-00369-8","article-title":"CatBoost for big data: an interdisciplinary review","volume":"7","author":"Hancock","year":"2020","journal-title":"J Big Data"},{"key":"10.1016\/j.jfma.2026.07.021_bib19","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1186\/s12911-024-02426-1","article-title":"Building gender-specific sexually transmitted infection risk prediction models using CatBoost algorithm and NHANES data","volume":"24","author":"Hu","year":"2024","journal-title":"BMC Med Inform Decis Mak"},{"key":"10.1016\/j.jfma.2026.07.021_bib20","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1016\/j.jcrc.2020.01.024","article-title":"Abnormal shock index exposure and clinical outcomes among critically ill patients: a retrospective cohort analysis","volume":"57","author":"Maheshwari","year":"2020","journal-title":"J Crit Care"},{"key":"10.1016\/j.jfma.2026.07.021_bib21","article-title":"Shock index as a marker for mortality rates in those admitted to the medical intensive care unit from the emergency department","volume":"12","author":"Sahu","year":"2020","journal-title":"Cureus"},{"key":"10.1016\/j.jfma.2026.07.021_bib22","doi-asserted-by":"crossref","DOI":"10.1093\/ckj\/sfae102","article-title":"Usefulness of the heart rate variability test in predicting intradialytic hypotension in patients undergoing chronic haemodialysis","volume":"17","author":"Park","year":"2024","journal-title":"Clin Kidney J"},{"issue":"25","key":"10.1016\/j.jfma.2026.07.021_bib23","first-page":"S0929","article-title":"Predictive factors and survival associated with varying degrees of cytopenia in patients undergoing chronic Hemodialysis: a cohort study","volume":"19","author":"Wang","year":"2025","journal-title":"J Formos Med Assoc"},{"issue":"1","key":"10.1016\/j.jfma.2026.07.021_bib24","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1186\/s40246-026-00944-9","article-title":"Epigenetic corepressor BCORL1 predominates as a driver of clonal hematopoiesis of indeterminate potential in patients undergoing chronic hemodialysis: a multicenter cohort study","volume":"20","author":"Wang","year":"2026","journal-title":"Hum Genom"}],"container-title":["Journal of the Formosan Medical Association"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0929664626007497?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0929664626007497?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T06:40:33Z","timestamp":1784529633000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0929664626007497"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":24,"alternative-id":["S0929664626007497"],"URL":"https:\/\/doi.org\/10.1016\/j.jfma.2026.07.021","relation":{},"ISSN":["0929-6646"],"issn-type":[{"value":"0929-6646","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"An explainable real-time artificial intelligence -assisted system to reduce intradialytic hypotension","name":"articletitle","label":"Article Title"},{"value":"Journal of the Formosan Medical Association","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jfma.2026.07.021","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"Copyright \u00a9 2026, Formosan Medical Association. Published by Elsevier Taiwan LLC. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}]}}