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Stacking Ensemble Learning-based Models Enabling Accurate Diagnosis of Cardiac Amyloidosis using SPECT/CT:an International and Multicentre Study

2025-06-23

Abstract excerpt

<h4>ABSTRACT</h4> <h4>PURPOSE</h4> Cardiac amyloidosis (CA), a life-threatening infiltrative cardiomyopathy, can be non-invasively diagnosed using [ 99m Tc]Tc-bisphosphonate SPECT/CT. However, subjective visual interpretation risks diagnostic inaccuracies. We developed and validated a machine learning (ML) framework leveraging SPECT/CT radiomics to automate CA detection. <h4>METHODS</h4> This retrospective multice...

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Literature Corpus work
e8646b88-b1cf-53ca-9376-ecb90f92246d
DOI
10.1101/2025.06.22.25330039
Open publication

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Stacking Ensemble Learning-based Models Enabling Accurate Diagnosis of Cardiac Amyloidosis using SPECT/CT:an International and Multicentre StudyDOI 10.1101/2025.06.22.25330039
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