March 11, 2025•Publications

First paper published in Radiology

Value of Using a Generative AI Model in Chest Radiography Reporting: A Reader Study

Authors

Eun Kyoung Hong¹,², Byungseok Roh³, Beomhee Park³, Jae-Bock Jo⁴, Woong Bae⁴, Jai Soung Park⁵, Dong-Wook Sung⁶

¹ Department of Radiology, Mass General Brigham, Boston, Mass

² Department of Radiology, Brigham & Women's Hospital, 75 Francis St, Boston, MA 02115

³ Kakaocorp, Seoul, South Korea

⁴ Soombit.ai, Seoul, South Korea

⁵ Department of Radiology, Soonchunhyang University College of Medicine, Cheonan, South Korea

⁶ Department of Radiology, Kyung Hee University School of Medicine, Seoul, South Korea

Abstract

Use of a multimodal generative artificial intelligence model increased the efficiency and quality of chest radiograph interpretations by reducing reading times and increasing report accuracy and agreement.

Published in Radiology, 2025

https://doi.org/10.1148/radiol.241646