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Clinical and artificial intelligence assessed echocardiographic predictors of outcomes after acute myocardial infarction.

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Title: Clinical and artificial intelligence assessed echocardiographic predictors of outcomes after acute myocardial infarction.
Authors: Lenselink C; Department of Cardiology, National Heart Centre Singapore, Singapore; Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands., Lau YH; Department of Cardiology, National Heart Centre Singapore, Singapore., Huang W; Department of Cardiology, National Heart Centre Singapore, Singapore; Duke-NUS Medical School, Singapore., Ewe SH; Department of Cardiology, National Heart Centre Singapore, Singapore; Duke-NUS Medical School, Singapore., Chiong SC; Department of Cardiology, National Heart Centre Singapore, Singapore., Ng CT; Department of Cardiology, National Heart Centre Singapore, Singapore; Duke-NUS Medical School, Singapore., Ricken K; Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands., Lipsic E; Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands., Voors A; Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands., Lam CSP; Department of Cardiology, National Heart Centre Singapore, Singapore; Duke-NUS Medical School, Singapore., Yeo KK; Department of Cardiology, National Heart Centre Singapore, Singapore; Duke-NUS Medical School, Singapore., Yap J; Department of Cardiology, National Heart Centre Singapore, Singapore; Duke-NUS Medical School, Singapore. Electronic address: jonyap@yahoo.com.
Source: International journal of cardiology [Int J Cardiol] 2026 Jun 22, pp. 134638. Date of Electronic Publication: 2026 Jun 22.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 8200291 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1874-1754 (Electronic) Linking ISSN: 01675273 NLM ISO Abbreviation: Int J Cardiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1874-1754
DOI:10.1016/j.ijcard.2026.134638