Fig. 1. Prognostic model development and study design for recovery-time prediction.

a Multimodal clinical data of a patient (i.e., CT images, symptoms, comorbidities, and biomarkers acquired within 48 hours after admission) are fed into a deep learning model to predict recovery probabilities in a time range. b Development and validation of the deep learning model based on multicenter cohorts.