Large-scale, multi-centre, multi-disease validation of an AI clinical tool for cine CMR analysis. (arXiv:2206.08137v1 [eess.IV])

INTRODUCTION: Artificial intelligence (AI) has the potential to facilitate
the automation of CMR analysis for biomarker extraction. However, most AI
algorithms are trained on a specific input domain (e.g., single scanner vendor
or hospital-tailored imaging protocol) and lack the robustness to perform
optimally when applied to CMR data from other input domains. METHODS: Our
proposed framework consists of an AI-based algorithm for biventricular
segmentation of short-axis images, followed by a post-analysis quality control
to detect erroneous results. The segmentation algorithm …

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