Ultrasound-Based Prediction of Cirrhosis Decompensation Using Large-Scale Computer Vision Models
This framework integrates automated ultrasound data processing with modern deep learning architectures to identify patients at high risk of decompensation prior to the occurrence of clinical deterioration and may enable earlier, more proactive management of patients with compensated cirrhosis.
Guangxia Zhang, Pei-Yun Ni, Eugene Cheah et al.
· 0 citations