Impact of Case and Control Selection on Training AI Screening of Cardiac Amyloidosis

Abstract excerpt

<h4>Background</h4> Recent studies suggest that cardiac amyloidosis (CA) is significantly underdiagnosed. For rare diseases like CA, the optimal selection of cases and controls for artificial intelligence (AI) model training is unknown and can significantly impact model performance. <h4>Objectives</h4> This study evaluates the performance of ECG waveform-based AI models for CA screening and assesses impact of diff...

Topics

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• Arrhythmias, Cardiac
• Artificial Intelligence
• Death, Sudden, Cardiac
• Genetic Testing
• Machine Learning
• Phenotype

Identifiers and source

Literature Corpus work

4a8a9b3c-def2-56cb-ad84-7afe6d443b96

DOI

10.1101/2023.03.30.23287941