Summary
The respective value of clinical data and CT examinations in predicting COVID-19 progression is unclear, because the CT scans and clinical data previously used are not synchronized in time. To address this issue, we collected 119 COVID-19 patients with 341 longitudinal CT scans and paired clinical data, and we developed an AI system for the prediction of COVID-19 deterioration. By combining features extracted from CT and clinical data with our system, we can predict whether a patient will develop severe symptoms during hospitalization. Complementary to clinical data, CT examinations show significant add-on values for the prediction of COVID-19 progression in the early stage of COVID-19, especially in the 6th to 8th day after the symptom onset, indicating that this is the ideal time window for the introduction of CT examinations. We release our AI system to provide clinicians with additional assistance to optimize CT usage in the clinical workflow.
【저자키워드】 Microbiology, artificial intelligence, machine learning, Health Sciences, 【초록키워드】 COVID-19, Hospitalization, Deterioration, CT scan, Patient, early stage, predict, COVID-19 patient, symptom onset, COVID-19 progression, clinician, Clinical data, feature, collected, develop, severe symptom, 【제목키워드】 COVID-19, Deterioration, CT scan, Clinical data,