A comparison of vendor artificial intelligence solutions for automated post-processing of short-axis cine images in cardiovascular magnetic resonance imaging

Abstract Automated segmentation of cardiac magnetic resonance (CMR) imaging is integrated into clinical workflows, yet comparative performance across vendor AI solutions remains insufficiently characterized. This study assessed three models (two commercial, one research) for short-axis cine segmenta...

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Detalhes bibliográficos

Principais autores:	Thomas Hadler, Clemens Ammann, Hadil Saad, Yashraj Bhoyroo, Jana Veit, Teodora Chitiboi, Jens Wetzl, Christian Geppert, Jeanette Schulz-Menger
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2026-06-01
coleção:	Scientific Reports
Assuntos:	CMR image analysis Artificial intelligence Machine learning Automated post-processing AI comparison
Acesso em linha:	https://doi.org/10.1038/s41598-026-54182-z
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