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Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports. (arXiv:2401.16578v1 [cs.CL])
cs.CL updates on arXiv.org arxiv.org
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 arxiv clinical cs.cl current evaluation expertise intelligence language language generation llms metrics natural natural language natural language generation nlg professional radiology report reports semantic