Corrigendum to “Aligning large language models with radiologists by reinforcement learning from AI feedback for chest CT reports” [Eur. J. Radiol. 184 (2025) 111984]
Lingrui Yang , Yuxing Zhou , Jun Qi , Xiantong Zhen , Li Sun , Shan Shi , Qinghua Su , Xuedong Yang
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期刊介绍：
European Journal of Radiology is an international journal which aims to communicate to its readers, state-of-the-art information on imaging developments in the form of high quality original research articles and timely reviews on current developments in the field.
Its audience includes clinicians at all levels of training including radiology trainees, newly qualified imaging specialists and the experienced radiologist. Its aim is to inform efficient, appropriate and evidence-based imaging practice to the benefit of patients worldwide.
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