Large Language Model Approach for Zero-Shot Information Extraction and Clustering of Japanese Radiology Reports: Algorithm Development and Validation

Citations Over TimeTop 1% of 2025 papers

Abstract

The unsupervised LLM approach surpassed the existing supervised methods in clustering Japanese radiology reports. These findings suggest that LLMs hold promise for extracting information from radiology reports and integrating it into disease-specific knowledge structures.

Related Papers

• → Data clustering: application and trends(2022)254 cited
• → Classifying infants in the Strange Situation with three‐way mixture method of clustering(1995)3 cited
• → Clustering - What Both Theoreticians and Practitioners Are Doing Wrong(2018)1 cited
• → A Methodology for Clustering Transient Biomedical Signals by Variable(2012)