Article

Screening for patients at risk for cardiac amyloidosis via electronic health records: A multicenter machine learning development and validation study

2026-04-28

Abstract excerpt

<h4>Background</h4> Timely detection is crucial to improve outcomes in patients with cardiac amyloidosis (CA) by initiation of life-saving treatments. Although confirmatory bone scintigraphy is highly accurate for CA detection, identifying at-risk patients for referral remains challenging. <h4>Objectives</h4> This study aimed to develop and validate a machine learning model, Amylo-Detect , using structured mult...

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Literature Corpus work: c771f602-152c-5c2e-afb0-1dbe63b76cce
DOI: 10.64898/2026.04.27.26351820

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