A scoping review of large language model based approaches for information extraction from radiology reports.
基於大型語言模型的信息提取方法在放射科報告中的範疇回顧。
NPJ Digit Med 2024-08-24
Large language models for structured reporting in radiology: performance of GPT-4, ChatGPT-3.5, Perplexity and Bing.
放射學結構化報告的大型語言模型:GPT-4、ChatGPT-3.5、Perplexity 和 Bing 的表現。
Radiol Med 2023-07-05
Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions.
放射學中的大型語言模型:基礎知識、應用、倫理考量、風險和未來方向。
Diagn Interv Radiol 2024-03-08
Large language model-based information extraction from free-text radiology reports: a scoping review protocol.
基於大型語言模型的從放射學報告中提取信息:一項範圍審查協議。
BMJ Open 2024-01-24
The impact of large language models on radiology: a guide for radiologists on the latest innovations in AI.
大型語言模型對放射學的影響:放射科醫師最新人工智慧創新指南。
Jpn J Radiol 2024-03-29
Evaluation of large language models performance against humans for summarizing MRI knee radiology reports: A feasibility study.
大型語言模型在摘要 MRI 膝部放射學報告方面與人類表現的評估:可行性研究。
Int J Med Inform 2024-04-14
Performance of an Open-Source Large Language Model in Extracting Information from Free-Text Radiology Reports.
開源大型語言模型在從自由文本放射學報告中提取信息的表現。
Radiol Artif Intell 2024-05-08
Improving Automating Quality Control in Radiology: Leveraging Large Language Models to Extract Correlative Findings in Radiology and Operative Reports.
在放射學中改進自動化品質控制:利用大型語言模型提取放射學和手術報告中的相關發現。
AMIA Jt Summits Transl Sci Proc 2024-06-03
Advancing radiology practice and research: harnessing the potential of large language models amidst imperfections.
推進放射學實踐與研究:在不完美中利用大型語言模型的潛力。
BJR Open 2024-08-28