Large language models for structured reporting in radiology: performance of GPT-4, ChatGPT-3.5, Perplexity and Bing
Summary
Large language models for structured reporting in radiology: performance of GPT-4, ChatGPT-3.5, Perplexity and Bing is a scholarly article[1].
Key Facts
Large language models for structured reporting in radiology: performance of GPT-4, ChatGPT-3.5, Perplexity and Bing's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Large language models for structured reporting in radiology: performance of GPT-4, ChatGPT-3.5, Perplexity and Bing. Retrieved May 24, 2026, from https://4ort.xyz/entity/large-language-models-for-structured-reporting-in-radiology-performance-of-gpt-4-chatgpt-3-5-perplexity-and-bing
MLA“Large language models for structured reporting in radiology: performance of GPT-4, ChatGPT-3.5, Perplexity and Bing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/large-language-models-for-structured-reporting-in-radiology-performance-of-gpt-4-chatgpt-3-5-perplexity-and-bing.
BibTeX@misc{4ortxyz_large-language-models-for-structured-reporting-in-radiology-performance-of-gpt-4-chatgpt-3-5-perplexity-and-bing_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Large language models for structured reporting in radiology: performance of GPT-4, ChatGPT-3.5, Perplexity and Bing}}, year = {2026}, url = {https://4ort.xyz/entity/large-language-models-for-structured-reporting-in-radiology-performance-of-gpt-4-chatgpt-3-5-perplexity-and-bing}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Large language models for structured reporting in radiology: performance of GPT-4, ChatGPT-3.5, Perplexity and Bing — https://4ort.xyz/entity/large-language-models-for-structured-reporting-in-radiology-performance-of-gpt-4-chatgpt-3-5-perplexity-and-bing (retrieved 2026-05-24)
