Artificial intelligence-assisted quantification of COVID-19 pneumonia burden from computed tomography improves prediction of adverse outcomes over visual scoring systems.
Grodecki K, Killekar A, Simon J, Lin A, Cadet S, McElhinney P, Chan C, Williams MC, Pressman BD, Julien P, Li D, Chen P, Gaibazzi N, Thakur U, Mancini E, Agalbato C, Munechika J, Matsumoto H, Menè R, Parati G, Cernigliaro F, Nerlekar N, Torlasco C, Pontone G, Maurovich-Horvat P, Slomka PJ, Dey D.
Grodecki K, et al. Among authors: parati g.
Br J Radiol. 2023 Sep;96(1149):20220180. doi: 10.1259/bjr.20220180. Epub 2023 Jun 27.
Br J Radiol. 2023.
PMID: 37310152
Free PMC article.