ESPE Abstracts

Purpose: To evaluate the efficacy of supervised Artificial Neural Network (sANN) in bone age assessment and compare the diagnostic performance of sANN-based TW3 skeletal maturity assessment on hand radiographs with that of experienced child endocrinologists.Materials and methods: This study developed an optimized artificial intelligence TW3 bone age assessment system by using the sANN and rating for the 20 hand bones (13RUS+7carpal) from A to I. 8332 of ...