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Despite the reduction in turn-around times in radiology reports with the use of speech recognition software, persistent communication errors can significantly impact the interpretation of the radiology report.
Signing a colleague’s radiology report
John J. Smith and Leonard Berlin · 2001
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Hoo-Chang Shin, Kirk Roberts, Le Lu, Dina Demner-Fushman, Jianhua Yao, and Ronald M Summers · 2016
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Syntactic and semantic errors in radiology reports associated with speech recognition software
Michael D Ringler, Brian C Goss, and Brian J Bartholmai · 2017
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Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, and Ronald M Summers · 2018
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Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn Ball, Katie Shpanskaya, et al · 2019
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Zhihong Chen, Yan Song, Tsung-Hui Chang, and Xiang Wan · 2020
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Cross-modal memory networks for radiology report generation
Zhihong Chen, Yaling Shen, Yan Song, and Xiang Wan · 2021
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Fenglin Liu, Xian Wu, Shen Ge, Wei Fan, and Yuexian Zou · 2021
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Yuan Xue, Tao Xu, L. Rodney Long, Zhiyun Xue, Sameer Kiran Antani, George R. Thoma, and Xiaolei Huang · 2018
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Alistair EW Johnson, Tom J Pollard, Nathaniel R Greenbaum, Matthew P Lungren, Chih-ying Deng, Yifan Peng, Zhiyong Lu, Roger G Mark, Seth J Berkowitz, and Steven Horng · 2019
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Arsha Nagrani, Shan Yang, Anurag Arnab, Aren Jansen, Cordelia Schmid, and Chen Sun · 2021
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Cross-modal prototype driven network for radiology report generation
Jun Wang, Abhir Bhalerao, and Yulan He · 2022
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