Preller, Jacobus

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

Roberts, M., Driggs, D., Thorpe, M., Gilbey, J., Yeung, M., Ursprung, S., Aviles-Rivero, A. I., Etmann, C., McCague, C., Beer, L., et al. (2021) · Nature Machine Intelligence

COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education

Cited by 1,044

A living WHO guideline on drugs for covid-19 (2020-2023)

Agarwal, A., Hunt, B. J., Stegemann, M., Rochwerg, B., Lamontagne, F., Siemieniuk, R. A., Agoritsas, T., Askie, L., Lytvyn, L., Leo, Y.-S., et al. (2020) · BMJ

COVID-19 Clinical Research StudiesSARS-CoV-2 and COVID-19 Research

Cited by 1,041