It has been known that the pituitary gland volume (PV) in idiopathic central precocious puberty (IPP) is significantly higher than in healthy children. However, most PV measurements rely on manual quantitative methods, which are time-consuming and labor-intensive. This study aims to automatically measure the PV of patients with IPP using artificial intelligence to accurately quantify the correlation between IPP and PV, and to improve the efficiency of diagnosing IPP. Read More

Meeting name: SPR 2025 Annual Meeting , 2025

Authors: Kim Hayoun, Yu In Kyu

Keywords: Pituitary Abnormalities, Puberty, Artificial Intelligence