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Extracting structured clinical information from free-text radiology reports can enable the use of radiology report information for a variety of critical healthcare applications.
Assessing agreement on classification tasks: the kappa statistic
Jean Carletta · 1996
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Lance A Ramshaw and Mitchell P Marcus · 1999
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Enhancing the expressiveness and usability of structured image reporting systems
Curtis P Langlotz and Lee Meininger · 2000
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Introduction to the conll-2003 shared task: Language-independent named entity recognition
Erik F Sang and Fien De Meulder · 2003
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Kernel methods for relation extraction
Dmitry Zelenko, Chinatsu Aone, and Anthony Richardella · 2003
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A suite of natural language processing tools developed for the i2b2 project
Sergey Goryachev, Margarita Sordo, and Qing T Zeng · 2006
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Design challenges and misconceptions in named entity recognition
Lev Ratinov and Dan Roth · 2009
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Mayo clinical text analysis and knowledge extraction system (ctakes): architecture, component evaluation and applications
Guergana K Savova, James J Masanz, Philip V Ogren, Jiaping Zheng, Sunghwan Sohn, Karin C Kipper-Schuler, and Christopher G Chute · 2010
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An overview of metamap: historical perspective and recent advances
Alan R Aronson and François-Michel Lang · 2010
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Hiding in plain sight: use of realistic surrogates to reduce exposure of protected health information in clinical text
David Carrell, Bradley Malin, John Aberdeen, Samuel Bayer, Cheryl Clark, Ben Wellner, and Lynette Hirschman · 2013
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Pkde4j: Entity and relation extraction for public knowledge discovery
Min Song, Won Chul Kim, Dahee Lee, Go Eun Heo, and Keun Young Kang · 2015
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Information extraction from multi-institutional radiology reports
Saeed Hassanpour and Curtis P Langlotz · 2016
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SemEval 2017 task 10: ScienceIE - extracting keyphrases and relations from scientific publications
Isabelle Augenstein, Mrinal Das, Sebastian Riedel, Lakshmi Vikraman, and Andrew McCallum · 2017
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A neural joint model for entity and relation extraction from biomedical text
Fei Li, Meishan Zhang, Guohong Fu, and Donghong Ji · 2017
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Negbio: a high-performance tool for negation and uncertainty detection in radiology reports
Yifan Peng, Xiaosong Wang, Le Lu, Mohammadhadi Bagheri, Ronald Summers, and Zhiyong Lu · 2018
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Yi Luan, Luheng He, Mari Ostendorf, and Hannaneh Hajishirzi · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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Mimic-cxr, a de-identified publicly available database of chest radiographs with free-text reports
Alistair EW Johnson, Tom J Pollard, Seth J Berkowitz, Nathaniel R Greenbaum, Matthew P Lungren, Chih-ying Deng, Roger G Mark, and Steven Horng · 2019
Yifan Peng, Shankai Yan, and Zhiyong Lu · 2019
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Chexpert++: Approximating the chexpert labeler for speed, differentiability, and probabilistic output
Matthew BA McDermott, Tzu Ming Harry Hsu, Wei-Hung Weng, Marzyeh Ghassemi, and Peter Szolovits · 2020
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Akshay Smit, Saahil Jain, Pranav Rajpurkar, Anuj Pareek, Andrew Y Ng, and Matthew P Lungren · 2020
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Understanding spatial language in radiology: representation framework, annotation, and spatial relation extraction from chest x-ray reports using deep learning
Surabhi Datta, Yuqi Si, Laritza Rodriguez, Sonya E Shooshan, Dina Demner-Fushman, and Kirk Roberts · 2020
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Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison
Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn L. Ball, Katie S. Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, and Andrew Y. Ng · 2019
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Toward complete structured information extraction from radiology reports using machine learning
Jackson M Steinkamp, Charles Chambers, Darco Lalevic, Hanna M Zafar, and Tessa S Cook · 2019
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A general framework for information extraction using dynamic span graphs
Yi Luan, Dave Wadden, Luheng He, Amy Shah, Mari Ostendorf, and Hannaneh Hajishirzi · 2019
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Entity, relation, and event extraction with contextualized span representations
David Wadden, Ulme Wennberg, Yi Luan, and Hannaneh Hajishirzi · 2019
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Datasaur
Datasaur, Inc., Sunnyvale, California, United States · 2019
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Enriching pre-trained language model with entity information for relation classification
Shanchan Wu and Yifan He · 2019
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BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, and Jaewoo Kang · 2019
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Rad-spatialnet: A frame-based resource for fine-grained spatial relations in radiology reports
Surabhi Datta, Morgan Ulinski, Jordan Godfrey-Stovall, Shekhar Khanpara, Roy F Riascos-Castaneda, and Kirk Roberts · 2020
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Padchest: A large chest x-ray image dataset with multi-label annotated reports
Aurelia Bustos, Antonio Pertusa, Jose-Maria Salinas, and Maria de la Iglesia-Vayá · 2020
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A dataset of chest x-ray reports annotated with spatial role labeling annotations
Surabhi Datta and Kirk Roberts · 2020
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A frustratingly easy approach for joint entity and relation extraction
Zexuan Zhong and Danqi Chen · 2020
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Chexclusion: Fairness gaps in deep chest x-ray classifiers
Laleh Seyyed-Kalantari, Guanxiong Liu, Matthew McDermott, Irene Y Chen, and Marzyeh Ghassemi · 2020
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A frustratingly easy approach for joint entity and relation extraction
Zexuan Zhong and Danqi Chen · 2020
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Domain-specific language model pretraining for biomedical natural language processing
Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, and Hoifung Poon · 2020
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Visualchexbert: addressing the discrepancy between radiology report labels and image labels
Saahil Jain, Akshay Smit, Steven QH Truong, Chanh DT Nguyen, Minh-Thanh Huynh, Mudit Jain, Victoria A Young, Andrew Y Ng, Matthew P Lungren, and Pranav Rajpurkar · 2021
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Extracting clinical terms from radiology reports with deep learning
Kento Sugimoto, Toshihiro Takeda, Jong-Hoon Oh, Shoya Wada, Shozo Konishi, Asuka Yamahata, Shiro Manabe, Noriyuki Tomiyama, Takashi Matsunaga, Katsuyuki Nakanishi, et al · 2021
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