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Updated: Jul 28, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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放射学结构化报告的大型语言模型:GPT-4,ChatGPT-3.5,Perplexity和Bing的性能

Carlo A Mallio1, Andrea C Sertorio2, Caterina Bernetti2

  • 1Research Unit of Radiology, Department of Medicine and Surgery, Fondazione Policlinico Universitario Campus Bio-Medico, Università Campus Bio-Medico di Roma, Via Álvaro del Portillo, 200, 00128, Rome, RM, Italy. c.mallio@policlinicocampus.it.

La Radiologia medica
|May 29, 2023
PubMed
概括

大型语言模型 (LLM) 显示了改善放射学结构报告的前景. 需要进一步验证,以确认它们在生成准确的放射学报告方面的潜力.

关键词:
人工智能 (AI) 是一种人工智能.计算机断层扫描 (CT) 扫描在 GPT-4 中使用.基于生成预训练变压器 (GPT) 的模型.大型语言模型 (LLM)结构化报告 结构化报告

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