Explainable Biological Age from Automated Chest Radiography–based Organ Quantifications: qCXR-bioage

Radiology Cardiothoracic Imaging 2026

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Authors: Yoosoo Chang, Suntae Park, Hyungjin Kim, Soon Ho Yoon, Hyun-Suk Jung, Jong-Min Kim, Samuel Kang-Wook Cho, Ria Kwon, G. Lim, Do Kyun Kang, Kyunga Kim, Seungho Ryu
DOI: 10.1148/ryct.250327
Cited by: 1
References: 34

Abstract

Chest radiograph–derived biologic age, estimated through automated organ quantification, outperformed chronological age in predicting mortality among Korean adults undergoing regular health evaluations, with accelerated aging associated with multiple mortality types.

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 Cardiothoracic Imaging
Publisher
Radiological Society of North America (RSNA)
Volume
8
Issue
2
Pages
e250327–e250327
Publication date
1 April 2026
Language
EN