Prospective, Multi-Center, Randomized Controlled Trial for Skeletal Age Assessment AI Model

The investigators are targeting to study the effect of their Artificial Intelligence algorithm on the radiologists' estimation of skeletal age. Currently, radiologists make the estimation using only the radiographic images and health records. As part of this study, the radiologists will estimate skeletal age from radiographic images, health records, and the output of the CADx algorithm. The investigators wish to understand how radiologists using the Artificial Intelligence algorithm compare to radiologists who do not for the specific task of estimating skeletal age.

This study is organized as a multi-institutional randomized control trial with two arms - experiment (receiving the Artificial Intelligence algorithm's output) and control (no intervention). Both of these arms will be compared to a clinical reference standard ("gold standard") composed of a panel of radiologists. The metric of comparison will be Mean Absolute Distance (MAD). The investigators plan to use statistical tests such as the t-test to determine any statistically-significant difference in skeletal age estimation between the two groups.

The investigators have recruited and analyzed data from a sample size of 1600 exams. Patients getting these exams will not undergo any research procedures that deviate from the current standard practices.