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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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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
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PubType: Academic Journal
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  Data: 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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  Data: <searchLink fieldCode="AU" term="%22Łajczak+P%22">Łajczak P</searchLink>; Medical University of Silesia, Katowice, Poland. pawel.lajczak03@outlook.com.<br /><searchLink fieldCode="AU" term="%22Sahin+OK%22">Sahin OK</searchLink>; Edremit State Hospital, Balikesir, Turkey.<br /><searchLink fieldCode="AU" term="%22Matyja+J%22">Matyja J</searchLink>; TU Delft, Delft, Netherlands.<br /><searchLink fieldCode="AU" term="%22Puglla+Sanchez+LR%22">Puglla Sanchez LR</searchLink>; Clinico Lozano Blesa University Hospital, Zaragoza, Spain.<br /><searchLink fieldCode="AU" term="%22Sayudo+IF%22">Sayudo IF</searchLink>; Medical Research Unit, Universitas Syiah Kuala, Banda Aceh, Indonesia.<br /><searchLink fieldCode="AU" term="%22Ayesha+A%22">Ayesha A</searchLink>; Shifa College of Medicine, Islamabad, Pakistan.<br /><searchLink fieldCode="AU" term="%22Lopes+V%22">Lopes V</searchLink>; Federal University of Amazonas, Manaus, Brazil.<br /><searchLink fieldCode="AU" term="%22Majeed+MW%22">Majeed MW</searchLink>; Government Medical College, Srinagar, India.<br /><searchLink fieldCode="AU" term="%22Krishna+MM%22">Krishna MM</searchLink>; Medical College, Thiruvananthapuram, India.<br /><searchLink fieldCode="AU" term="%22Joseph+M%22">Joseph M</searchLink>; Medical College, Thiruvananthapuram, India.<br /><searchLink fieldCode="AU" term="%22Pereira+M%22">Pereira M</searchLink>; Lincoln American University School of Medicine, Georgetown, Guyana.<br /><searchLink fieldCode="AU" term="%22Obi+O%22">Obi O</searchLink>; New York Institute of Technology College of Osteopathic Medicine, Old Westbury, New York, USA.<br /><searchLink fieldCode="AU" term="%22Silva+R%22">Silva R</searchLink>; Federal University of Ceara, Fortaleza, Brazil.<br /><searchLink fieldCode="AU" term="%22Lecchi+C%22">Lecchi C</searchLink>; University of Svizzera Italiana, Lugano, Switzerland.<br /><searchLink fieldCode="AU" term="%22Schincariol+M%22">Schincariol M</searchLink>; Klinikum Fürth, Friedrich-Alexander-University Erlangen- Nürnberg, Fürth, Germany.
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  Data: <searchLink fieldCode="JN" term="%22100969716%22">The international journal of cardiovascular imaging</searchLink> [Int J Cardiovasc Imaging] 2025 Oct; Vol. 41 (10), pp. 1921-1947. <i>Date of Electronic Publication: </i>2025 Sep 09.
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  Data: Journal Article; Systematic Review; Meta-Analysis
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>100969716 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1875-8312 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2215695794%22">15695794 </searchLink><i>NLM ISO Abbreviation: </i>Int J Cardiovasc Imaging <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s10554-025-03497-5
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        Text: English
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        StartPage: 1921
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              Text: 2025 Oct
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              Y: 2025
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