PARROT：一个开放的多语言放射学报告数据集
计算与语言
2025-08-26 v2 人工智能
摘要
目的与依据：开发并验证 PARROT（Polyglottal Annotated Radiology Reports for Open Testing，即多语言标注放射学报告用于开放测试），以构建一个大型、多中心、开放获取的虚构放射学报告数据集，用于测试放射学领域的自然语言处理应用。材料与方法：于 2024 年 5 月至 9 月，邀请放射科医生遵循其标准报告实践，贡献虚构放射学报告。贡献者提供至少 20 篇包含相关元数据的报告，其中包括解剖区域、影像学检查方式、临床背景，以及非英文报告的英文翻译。所有报告均被分配 ICD-10 编码。还开展了人类与人工智能报告区分研究，纳入 154 名参与者（放射科医生、医务人员及非医务人员），评估其判断报告是人工撰写还是 AI 生成的能力。结果：该数据集包含 2658 篇来自 76 名作者、跨越 21 个国家和 13 种语言的放射学报告。报告覆盖多种影像学检查方式（CT：36.1%，MRI：22.8%，放射学：19.0%，超声：16.8%），解剖区域涵盖胸部（19.9%）、腹部（18.6%）、头部（17.3%）和骨盆（14.1%）等。区分研究中，参与者在区分人类与 AI 生成报告时的准确率为 53.9%（95% 置信区间：50.7%-57.1%），放射科医生的表现显著更好（56.9%，95% 置信区间：53.3%-60.6%，p<0.05），优于其他组别。结论：PARROT 代表着最大规模的开放式多语言放射学报告数据集，使在不涉及隐私限制的前提下，能够跨语言、跨地域和跨临床边界开发和验证自然语言处理应用。
引用
@article{arxiv.2507.22939,
title = {PARROT: An Open Multilingual Radiology Reports Dataset},
author = {Bastien Le Guellec and Kokou Adambounou and Lisa C Adams and Thibault Agripnidis and Sung Soo Ahn and Radhia Ait Chalal and Tugba Akinci D Antonoli and Philippe Amouyel and Henrik Andersson and Raphael Bentegeac and Claudio Benzoni and Antonino Andrea Blandino and Felix Busch and Elif Can and Riccardo Cau and Armando Ugo Cavallo and Christelle Chavihot and Erwin Chiquete and Renato Cuocolo and Eugen Divjak and Gordana Ivanac and Barbara Dziadkowiec Macek and Armel Elogne and Salvatore Claudio Fanni and Carlos Ferrarotti and Claudia Fossataro and Federica Fossataro and Katarzyna Fulek and Michal Fulek and Pawel Gac and Martyna Gachowska and Ignacio Garcia Juarez and Marco Gatti and Natalia Gorelik and Alexia Maria Goulianou and Aghiles Hamroun and Nicolas Herinirina and Krzysztof Kraik and Dominik Krupka and Quentin Holay and Felipe Kitamura and Michail E Klontzas and Anna Kompanowska and Rafal Kompanowski and Alexandre Lefevre and Tristan Lemke and Maximilian Lindholz and Lukas Muller and Piotr Macek and Marcus Makowski and Luigi Mannacio and Aymen Meddeb and Antonio Natale and Beatrice Nguema Edzang and Adriana Ojeda and Yae Won Park and Federica Piccione and Andrea Ponsiglione and Malgorzata Poreba and Rafal Poreba and Philipp Prucker and Jean Pierre Pruvo and Rosa Alba Pugliesi and Feno Hasina Rabemanorintsoa and Vasileios Rafailidis and Katarzyna Resler and Jan Rotkegel and Luca Saba and Ezann Siebert and Arnaldo Stanzione and Ali Fuat Tekin and Liz Toapanta Yanchapaxi and Matthaios Triantafyllou and Ekaterini Tsaoulia and Evangelia Vassalou and Federica Vernuccio and Johan Wasselius and Weilang Wang and Szymon Urban and Adrian Wlodarczak and Szymon Wlodarczak and Andrzej Wysocki and Lina Xu and Tomasz Zatonski and Shuhang Zhang and Sebastian Ziegelmayer and Gregory Kuchcinski and Keno K Bressem},
journal= {arXiv preprint arXiv:2507.22939},
year = {2025}
}
备注
Corrected affiliations (no change to the paper)