Accelerated Aging and Aging Velocity from Deep Learning–based Chest Radiograph–derived Age for Predicting Cause-specific Mortality

Radiology Artificial Intelligence 2026

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Authors: Yoosoo Chang, Hyungjin Kim, Seungho Lee, H.J. Lee, Soon Ho Yoon, Seungho Ryu
DOI: 10.1148/ryai.250609
Cited by: 1
References: 32

Abstract

Accelerated aging and aging velocity calculated from deep learning–based chest radiograph–derived biologic age were independently associated with all-cause, cardiovascular, cancer, and respiratory mortality in Korean adults undergoing regular health check-ups.

Fields of Study & Subjects

COVID-19 diagnosis using AI Radiomics and Machine Learning in Medical Imaging Artificial Intelligence in Healthcare and Education

Publication details

Journal / source
Radiology Artificial Intelligence
Publisher
Radiological Society of North America (RSNA)
Volume
8
Issue
3
Pages
e250609–e250609
Publication date
1 April 2026
Language
EN