Deep Learning–based Bone Mineral Density Prediction Using Pediatric Chest Radiographs: A Multicenter Feasibility Study

Authors

Young Jin Ryu (ORCID: https://orcid.org/0000-0001-5222-3749)
Seok Young Koh (ORCID: https://orcid.org/0000-0003-1853-3166)
Yeon Jin Cho (ORCID: https://orcid.org/0000-0001-9820-3030)
C.S Shin
Young Hun Choi (ORCID: https://orcid.org/0000-0002-1842-9062)
Jae Won Choi (ORCID: https://orcid.org/0000-0002-5937-7238)
J . S . Cheon
Seunghyun Lee (ORCID: https://orcid.org/0000-0003-1858-0640)
Jae-Yeon Hwang
Young Ah Lee
Yun Jeong Lee

Institutions

Seoul National University Hospital (KR)
Seoul National University Bundang Hospital (KR)
Seoul National University Children's Hospital (KR)

Publication Details

Journal: Radiology
Published: 2026-04-01
DOI: https://doi.org/10.1148/radiol.252761
Primary Topic: Bone health and osteoporosis research
Type: article
Field-Weighted Citation Impact: 0.00

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article

Deep Learning–based Bone Mineral Density Prediction Using Pediatric Chest Radiographs: A Multicenter Feasibility Study

Young Jin Ryu, Seok Young Koh, Yeon Jin Cho, C.S Shin et al.

Apr 1, 2026

Radiology

Bone health and osteoporosis research

article

Deep Learning–based Bone Mineral Density Prediction Using Pediatric Chest Radiographs: A Multicenter Feasibility Study

Young Jin Ryu, Seok Young Koh, Yeon Jin Cho, C.S Shin, Young Hun Choi, Jae Won Choi, J . S . Cheon, Seunghyun Lee, Jae-Yeon Hwang, Young Ah Lee, Yun Jeong Lee

April 1, 2026article en

Abstract

No abstract available for this paper.

RadiologyVol. 319(1)

Seoul National University Hospital (KR), Seoul National University Bundang Hospital (KR), Seoul National University Children's Hospital (KR)

Good health and well-being

Openalex Percentile: Top 23%

Bone health and osteoporosis research

DOI Source OpenAlex

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