Artificial intelligence-assisted quantification of COVID-19 pneumonia burden from computed tomography improves prediction of adverse outcomes over visual scoring systems
利用人工智能辅助的计算机断层扫描定量分析新冠肺炎病情，比视觉评分系统更能准确预测不良预后。
期刊:British Journal of Radiology
影响因子:3.4
doi:10.1259/bjr.20220180
Grodecki, Kajetan; Killekar, Aditya; Simon, Judit; Lin, Andrew; Cadet, Sebastien; McElhinney, Priscilla; Chan, Cato; Williams, Michelle C; Pressman, Barry D; Julien, Peter; Li, Debiao; Chen, Peter; Gaibazzi, Nicola; Thakur, Udit; Mancini, Elisabetta; Agalbato, Cecilia; Munechika, Jiro; Matsumoto, Hidenari; Menè, Roberto; Parati, Gianfranco; Cernigliaro, Franco; Nerlekar, Nitesh; Torlasco, Camilla; Pontone, Gianluca; Maurovich-Horvat, Pal; Slomka, Piotr J; Dey, Damini
