Canonical Paper

Fine-Tuned Large Language Models for Automated Radiology Impression Generation: A Multicenter Evaluation.

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86

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1 个合并来源

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1

个活跃日期

1 个 feed

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1

次归档出现

1 个合并来源

主题与标签

2

个主题词

4 个标签

论文概览

Purpose To develop a fine-tuned large language model (Medical Imaging Report Assistant, MIRA) and evaluate its performance in generating radiology impressions from multicenter data with respect to accuracy, reporting ef…

规范主键

doi:10.1148/ryai.250714

合并来源

PubMed

作者

Mingyang Li,Yaning Wang,Zheng Miao,Jiaqi Gong,Simin Yang,Han Xue,Qi Yang,Lijun Duan,Lin Mu,Ying Mu,Kai Zhu,Qi Dai,Munire Aihemaiti,Yunhui Yang,Liang Liu,Yingyan Zheng,Yang Hou,Lei Zhang,Jing Wang,Huimao Zhang

分类

Journal Article

标签

评测 / 数据 / 应用 / 方法

主题词

Language Model / Evaluation

首次出现

2026-04-16 11:43:00 (UTC+08:00)

最近出现

2026-04-16 11:43:00 (UTC+08:00)

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1 个活跃日期 / 1 个 feed / 1 次归档出现

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title matched "language model";summary matched "clinical";has DOI

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PubMed AI

2026-04-16

2026-04-16 11:43:00 (Asia/Shanghai)

Purpose To develop a fine-tuned large language model (Medical Imaging Report Assistant, MIRA) and evaluate its performance in generating radiology impressions from multicenter dat…

Score 86 · title matched "language model";summary matched "clinical";has DOI

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