Overview

Schema Version

https://atlas.rsna.org/schemas/2025-11/dataset.json

Name

RSNA Pediatric Bone Age Challenge validation set

Link

https://pmc.ncbi.nlm.nih.gov/articles/PMC11140516

Indexing

Keywords: bone age, pediatric hand radiographs, skeletal maturity, Greulich and Pyle

Content: MK, PD

Organization(s)

Radiological Society of North America (RSNA)

Comments

Validation set of pediatric hand radiographs used in the 2017 RSNA Pediatric Bone Age Machine Learning Challenge; used as the internal test set in this study (n=1425).

References

[1] Halabi SS, Prevedello LM, Kalpathy-Cramer J, et al.. "The RSNA Pediatric Bone Age Machine Learning Challenge". Radiology. 2019-01-01. PMID: 30480490. PMCID: PMC6358027. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6358027/

Dataset

Motivation

Dataset provided for the 2017 RSNA Pediatric Bone Age Machine Learning Challenge and used for evaluating bone age prediction models.

Sampling

Datasets used in this study were curated for quality and other factors, per authors’ discussion.

Partitioning scheme

Used as a validation/internal test set in this study.

Missing information

Chronologic age is not provided in this dataset (not available for clinical diagnosis comparison in this study).

Confidentiality

De-identified images in the public domain; institutional review board waived as nonhuman subjects research in this study.

Sensitive data

Pediatric imaging; de-identified.