Artificial Intelligence-Driven Drafting of Chest X-Ray Reports: 2025 Position Statement From the Korean Society of Thoracic Radiology Based on an Expert Survey.

ABSTRACT:

Objective

Generative artificial intelligence (AI) systems can be used to draft automated chest X-ray (CXR) reports. Although promising in terms of efficiency and workforce shortages, their accuracy, reliability, and clinical utility remain uncertain. This article presents the Korean Society of Thoracic Radiology (KSTR) position statement on AI-assisted CXR report drafting, derived from a Delphi survey of experts who used the software on a modest case set.

Materials and methods

Twenty thoracic radiologists completed a Delphi survey after reviewing 60 CXR cases using an AI-based tool for automated report drafting (KARA-CXR, version 1.0.0.3; KakaoBrain, Seoul, Republic of Korea). Prior to the Delphi survey, the participants individually reviewed 60 CXR cases at their respective

SUBMITTER: Jeong WG 

PROVIDER: S-EPMC12568761 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature