Precision Diagnosis and Dynamic Risk Stratification in Portal Hypertension

The management of portal hypertension is rapidly evolving from static staging paradigms toward dynamic, individualized risk assessment, evolving guidelines and deeper understanding of treatment response and disease regression. Novel non-invasive tools, machine-learning algorithms, and longitudinal measurements now allow clinicians to diagnose clinically significant portal hypertension (CSPH), predict decompensation, and monitor treatment response without reliance on invasive hepatic venous pressure gradient measurements. This session will highlight contemporary data validating Baveno VIII criteria, emerging artificial intelligence approaches, perioperative management in advanced liver disease, and the growing role of serial non-invasive testing in identifying patients most likely to benefit from targeted therapies.