Machine learning for myocarditis diagnosis using cardiovascular magnetic resonance: a systematic review, diagnostic test accuracy meta-analysis, and comparison with human physicians.

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Bibliographic Details
Title: Machine learning for myocarditis diagnosis using cardiovascular magnetic resonance: a systematic review, diagnostic test accuracy meta-analysis, and comparison with human physicians.
Authors: Łajczak P; Medical University of Silesia, Katowice, Poland. pawel.lajczak03@outlook.com., Sahin OK; Edremit State Hospital, Balikesir, Turkey., Matyja J; TU Delft, Delft, Netherlands., Puglla Sanchez LR; Clinico Lozano Blesa University Hospital, Zaragoza, Spain., Sayudo IF; Medical Research Unit, Universitas Syiah Kuala, Banda Aceh, Indonesia., Ayesha A; Shifa College of Medicine, Islamabad, Pakistan., Lopes V; Federal University of Amazonas, Manaus, Brazil., Majeed MW; Government Medical College, Srinagar, India., Krishna MM; Medical College, Thiruvananthapuram, India., Joseph M; Medical College, Thiruvananthapuram, India., Pereira M; Lincoln American University School of Medicine, Georgetown, Guyana., Obi O; New York Institute of Technology College of Osteopathic Medicine, Old Westbury, New York, USA., Silva R; Federal University of Ceara, Fortaleza, Brazil., Lecchi C; University of Svizzera Italiana, Lugano, Switzerland., Schincariol M; Klinikum Fürth, Friedrich-Alexander-University Erlangen- Nürnberg, Fürth, Germany.
Source: The international journal of cardiovascular imaging [Int J Cardiovasc Imaging] 2025 Oct; Vol. 41 (10), pp. 1921-1947. Date of Electronic Publication: 2025 Sep 09.
Publication Type: Journal Article; Systematic Review; Meta-Analysis
Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 100969716 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1875-8312 (Electronic) Linking ISSN: 15695794 NLM ISO Abbreviation: Int J Cardiovasc Imaging Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1875-8312
DOI:10.1007/s10554-025-03497-5