Grodecki, K., Killekar, A., Simon, J., Lin, A., Cadet, S., Mcelhinney, P., Chan, C., Williams, M., Pressman, B., 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, P. & Dey, D. 2023, 'Artificial intelligence-assisted quantification of COVID-19 pneumonia burden from computed tomography improves prediction of adverse outcomes over visual scoring systems', British Journal of Radiology, 96(1149), article no: 20220180. https://doi.org/10.1259/bjr.20220180