Improving Accuracy and Efficiency with Concurrent Use of Artificial Intelligence for Digital Breast Tomosynthesis
| Autor: | Alicia Y. Toledano, Jonathan Go, Senthil Periaswamy, Emily F. Conant, Jeffrey W. Hoffmeister, Sergei V. Fotin, Justin E. Boatsman |
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| Rok vydání: | 2019 |
| Předmět: |
Artificial Intelligence System
Radiological and Ultrasound Technology business.industry Computer science media_common.quotation_subject Digital Breast Tomosynthesis Machine learning computer.software_genre Text mining Artificial Intelligence Reading (process) Radiology Nuclear Medicine and imaging Sensitivity (control systems) Artificial intelligence Recall rate business computer media_common |
| Zdroj: | Radiology: Artificial Intelligence. 1:e180096 |
| ISSN: | 2638-6100 |
| DOI: | 10.1148/ryai.2019180096 |
| Popis: | Reading times were significantly reduced, and sensitivity, specificity, and recall rate improved in a nonclinical reader study when an artificial intelligence system was utilized concurrently with ... |
| Databáze: | OpenAIRE |
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