Congress:
ECR25
Poster Number:
C-13356
Type:
Poster: EPOS Radiologist (scientific)
Authorblock:
L. Zhuo, J. Hao, J. Wang, X. Yin; Baoding,Hebei Province/CN
Disclosures:
Liyong Zhuo:
Nothing to disclose
Jiawei Hao:
Nothing to disclose
Jianing Wang:
Nothing to disclose
Xiaoping Yin:
Nothing to disclose
Keywords:
Artificial Intelligence, Lung, CT, Computer Applications-Detection, diagnosis, Acute, Epidemiology
The MPP delayed recovery prediction model, based on 16 radiomics features, D-dimer, SII, and a consolidation pattern, showed excellent predictive performance. It can be used by clinicians as an effective tool for early identification and intervention.