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

Łajczak P, Sahin OK, Matyja J, Puglla Sanchez LR, Sayudo IF, Ayesha A, Lopes V, Majeed MW, Krishna MM, Joseph M, Pereira M, Obi O, Silva R, Lecchi C, Schincariol M

Open source

DOI
10.1007/s10554-025-03497-5
Published
2025 Oct
Container
The international journal of cardiovascular imaging
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1007/s10554-025-03497-5,
  title = {Machine learning for myocarditis diagnosis using cardiovascular magnetic resonance: a systematic review, diagnostic test accuracy meta-analysis, and comparison with human physicians.},
  author = {Łajczak P and Sahin OK and Matyja J and Puglla Sanchez LR and Sayudo IF and Ayesha A and Lopes V and Majeed MW and Krishna MM and Joseph M and Pereira M and Obi O and Silva R and Lecchi C and Schincariol M},
  year = {2025},
  journal = {The international journal of cardiovascular imaging},
  doi = {10.1007/s10554-025-03497-5},
  url = {https://doi.org/10.1007/s10554-025-03497-5}
}

RIS

TY  - JOUR
TI  - Machine learning for myocarditis diagnosis using cardiovascular magnetic resonance: a systematic review, diagnostic test accuracy meta-analysis, and comparison with human physicians.
AU  - Łajczak P
AU  - Sahin OK
AU  - Matyja J
AU  - Puglla Sanchez LR
AU  - Sayudo IF
AU  - Ayesha A
AU  - Lopes V
AU  - Majeed MW
AU  - Krishna MM
AU  - Joseph M
AU  - Pereira M
AU  - Obi O
AU  - Silva R
AU  - Lecchi C
AU  - Schincariol M
PY  - 2025
JO  - The international journal of cardiovascular imaging
DO  - 10.1007/s10554-025-03497-5
UR  - https://doi.org/10.1007/s10554-025-03497-5
ER  - 

APA

P, Ł., OK, S., J, M., LR, P. S., IF, S., A, A., V, L., MW, M., MM, K., M, J., M, P., O, O., R, S., C, L., & M, S. (2025). Machine learning for myocarditis diagnosis using cardiovascular magnetic resonance: a systematic review, diagnostic test accuracy meta-analysis, and comparison with human physicians.. The international journal of cardiovascular imaging. https://doi.org/10.1007/s10554-025-03497-5

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