HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation

This paper proposes a novel Historical-Constrained Large Language Models (HC-LLM) framework for RRG, empowering LLMs with longitudinal report generation capabilities by constraining the consistency and differences between longitudinal images and their corresponding reports.

Framework Overview

Figure 1: The HC-LLM framework for radiology report generation.

Recommended citation: Liu, Tengfei, Jiapu Wang, Yongli Hu, Mingjie Li, Junfei Yi, Xiaojun Chang, Junbin Gao and Baocai Yin. “HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation.” (2024).
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