Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports

In radiology, Artificial Intelligence (AI) has significantly advanced report generation, but automatic evaluation of these AI-produced reports remains challenging. Current metrics, such as Conventional Natural Language Generation (NLG) and Clinical Efficacy (CE), often fall short in capturing the semantic intricacies of clinical contexts or overemphasize clinical details, undermining report clarity. To overcome these issues, our proposed method synergizes the expertise of professional radiologists with Large Language Models (LLMs), like GPT-3.5 and GPT-4 1. Utilizing In-Context Instruction Learning (ICIL) and Chain …

advanced artificial artificial intelligence clinical cs.ai cs.cl current evaluation expertise intelligence language language generation llms metrics natural natural language natural language generation nlg professional radiology report reports semantic