A new review in Portal Hypertension & Cirrhosis argues that portal hypertension detection is moving toward less invasive approaches by combining imaging, blood-based biomarkers, clinical scoring systems, and AI-enabled tools. The analysis focuses on identifying elevated portal venous pressure without relying exclusively on invasive catheter-based measurements. The review’s emphasis on multi-modal strategies reflects a growing industry pattern: using biomarkers and risk models to triage and characterize patients earlier, while AI can integrate heterogeneous datasets such as clinical variables and imaging outputs. For hepatology developers and diagnostic companies, this framing supports continued investment in blood tests and decision-support algorithms that can standardize assessment across centers and reduce procedure burden.