Performance of an AI algorithm during the different phases of the COVID pandemics: what can we learn from the AI and vice versa.

Michele Catalano,Chandra Bortolotto,Giovanna Nicora, Marina Francesca Achilli, Alessio Consonni, Lidia Ruongo, Giovanni Callea, Antonio Lo Tito, Carla Biasibetti, Antonella Donatelli,Sara Cutti,Federico Comotto,Giulia Maria Stella,Angelo Corsico,Stefano Perlini,Riccardo Bellazzi,Raffaele Bruno, Andrea Filippi,Lorenzo Preda

European Journal of Radiology Open（2023）

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摘要

The discrepancies mostly occurred when the AI predicted patients could stay at home but clinicians hospitalized them; these cases could be handled in spoke centers rather than hubs, and the discrepancies may aid clinicians in patient selection. The interaction between AI and human experience has the potential to improve both AI performance and our comprehension of pandemic management.

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ALFABETO,AI,ML,DL,ER,RT-PCR,COPD,WBC,CXR,CRP,SaO2,AUROC,RF

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