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RadCLARE: an automated clinical language engine for detecting semantic errors in radiology reports
0
Zitationen
9
Autoren
2025
Jahr
Abstract
We developed the RadCLARE network, a BERT-based engine for detecting semantic errors in Chinese radiology reports. With the aid of RadCLARE, the semantic error rate in radiology reports dropped significantly from 4.19% to 0.85%. The large majority (96%) of radiologists who participated in the test were satisfied with the RadCLARE and felt that it reduced stress.
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Autoren
Institutionen
- Union Hospital(CN)
- Hubei Provincial Center for Disease Control and Prevention(CN)
- State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing(CN)
- Huazhong University of Science and Technology(CN)
- United Imaging Healthcare (China)(CN)
- Wuhan Union Hospital(CN)
- Precision for Medicine (United States)(US)
- Union Hospital(CN)
- Hubei University(CN)
- Hubei University of Education(CN)