학술논문
Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence
Document Type
Article
Author
Lessmann, Nikolas; Sánchez, Clara I.; Beenen, Ludo; Boulogne, Luuk H.; Brink, Monique; Calli, Erdi; Charbonnier, Jean-Paul; Dofferhoff, Ton; Everdingen, Wouter M. van; Gerke, Paul K.; Geurts, Bram; Gietema, Hester A.; Groeneveld, Miriam; Harten, Louis van; Hendrix, Nils; Hendrix, Ward; Huisman, Henkjan J.; Išgum, Ivana; Jacobs, Colin; Kluge, Ruben; Kok, Michel; Krdzalic, Jasenko; Lassen-Schmidt, Bianca; Leeuwen, Kicky van; Meakin, James; Overkamp, Mike; Vellinga, Tjalco van Rees; Rikxoort, Eva M. van; Samperna, Riccardo; Schaefer-Prokop, Cornelia; Schalekamp, Steven; Scholten, Ernst Th.; Sital, Cheryl; Stöger, J. Lauran; Teuwen, Jonas; Venkadesh, Kiran Vaidhya; Vente, Coen de; Vermaat, Marieke; Xie, Weiyi; Wilde, Bram de; Prokop, Mathias; Ginneken, Bram van
Source
Radiology; January 2021, Vol. 298 Issue: 1 pE18-E28, 11p
Subject
Language
ISSN
00338419; 15271315
Abstract
The Coronavirus Disease 2019 (COVID-19) Reporting and Data System (CO-RADS) artificial intelligence system is a freely accessible deep learning algorithm that automatically assigns CO-RADS and CT severity scores to nonenhanced CT scans of patients suspected of having COVID-19 with high diagnostic performance.