Jing li wu xian pills12/3/2023 ![]() ![]() AI has the potential to accurately triage patients and facilitate personalized treatment. Using CT imaging and clinical data, the AI system successfully predicted time to critical illness for individual patients and identified patients with high risk. ![]() The AI system successfully stratified the patients into high-risk and low-risk groups with distinct progression risks ( p < 0.0001). The AI system achieved a C-index of 0.80 for predicting individual COVID-19 patients’ to critical illness. Of them, 282 patients developed critical illness, which was defined as requiring ICU admission and/or mechanical ventilation and/or reaching death during their hospital stay. ResultsĪ multi-institutional international cohort of 1,051 patients with RT-PCR confirmed COVID-19 and chest CT was included in this study. MethodsĪn artificial intelligence (AI) system in a time-to-event analysis framework was developed to integrate chest CT and clinical data for risk prediction of future deterioration to critical illness in patients with COVID-19. This study aimed to develop an artificial intelligence system to predict future deterioration to critical illness in COVID-19 patients. However, it is challenging to predict when COVID-19 patients will progress to critical illness. Early recognition of coronavirus disease 2019 (COVID-19) severity can guide patient management.
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