Abstract No. 199 Toward Procedural Registry Automation for Interventional Oncology: Using Large Language Model to Extract Critical Diagnostic Imaging Findings Following Percutaneous Liver Ablation

Procedural registries are essential for accumulating clinical evidence and quality improvement in interventional oncology. Currently, registries are built upon manual review of post-interventions follow-up images, a time-consuming specialized task that limits widespread adoption of such registries. Here, we used a large language model (LLM) to read free-text diagnostic imaging reports of patients who underwent percutaneous ablation (PTA) of hepatocellular carcinoma (HCC) and automatically extract critical findings that suggest cancer progression.
Source: Journal of Vascular and Interventional Radiology : JVIR - Category: Radiology Authors: Source Type: research