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Novel biological age model using explainable automated CT-based cardiometabolic biomarkers for phenotypic prediction of longevity

2024-08-05

Abstract excerpt

<title>Abstract</title> <p>We derived and tested a CT-based biological age (CTBA) model for predicting longevity, using an automated pipeline of explainable deep learning AI algorithms that quantify skeletal muscle, abdominal fat, aortic calcification, bone density, and solid abdominal organs. These AI tool were applied to abdominal CT scans from 123,281 adults (mean age, 53.6 years; 47% women; median clinical fo...

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Literature Corpus work: a9f50795-d646-5a3c-8893-667465db34de
DOI: 10.21203/rs.3.rs-4707454/v1

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