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Large Language Models' Performances regarding logical observation identifiers names and codes mapping in laboratory medicine: A comparative analysis of ChatGPT-4.0, Gemini, and Perplexity.

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Title: Large Language Models' Performances regarding logical observation identifiers names and codes mapping in laboratory medicine: A comparative analysis of ChatGPT-4.0, Gemini, and Perplexity.
Authors: Yu S; Department of Laboratory Medicine, Haeundae Paik Hospital, Inje University College of Medicine, Busan, South Korea., Cho EJ; Department of Laboratory Medicine, Hallym University Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong, South Korea. Electronic address: ejlovi@naver.com., Kim S; Department of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea., Park K; Department of Laboratory Medicine, Sanggye Paik Hospital, College of Medicine, Inje University, Seoul, South Korea., Kim MS; Department of Laboratory Medicine, Soonchunhyang University Cheonan Hospital, Soonchunhyang University College of Medicine, Cheonan, South Korea., Oh Y; Department of Laboratory Medicine, Green Cross Laboratories, Yongin, South Korea., Ryu H; Department of Laboratory Medicine, Seegene Medical Foundation, Seoul, South Korea.
Source: International journal of medical informatics [Int J Med Inform] 2026 Apr 01; Vol. 209, pp. 106270. Date of Electronic Publication: 2026 Jan 06.
Publication Type: Journal Article; Comparative Study
Journal Info: Publisher: Elsevier Science Ireland Ltd Country of Publication: Ireland NLM ID: 9711057 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-8243 (Electronic) Linking ISSN: 13865056 NLM ISO Abbreviation: Int J Med Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Large Language Models' Performances regarding logical observation identifiers names and codes mapping in laboratory medicine: A comparative analysis of ChatGPT-4.0, Gemini, and Perplexity.
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  Data: <searchLink fieldCode="AU" term="%22Yu+S%22">Yu S</searchLink>; Department of Laboratory Medicine, Haeundae Paik Hospital, Inje University College of Medicine, Busan, South Korea.<br /><searchLink fieldCode="AU" term="%22Cho+EJ%22">Cho EJ</searchLink>; Department of Laboratory Medicine, Hallym University Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong, South Korea. Electronic address: ejlovi@naver.com.<br /><searchLink fieldCode="AU" term="%22Kim+S%22">Kim S</searchLink>; Department of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.<br /><searchLink fieldCode="AU" term="%22Park+K%22">Park K</searchLink>; Department of Laboratory Medicine, Sanggye Paik Hospital, College of Medicine, Inje University, Seoul, South Korea.<br /><searchLink fieldCode="AU" term="%22Kim+MS%22">Kim MS</searchLink>; Department of Laboratory Medicine, Soonchunhyang University Cheonan Hospital, Soonchunhyang University College of Medicine, Cheonan, South Korea.<br /><searchLink fieldCode="AU" term="%22Oh+Y%22">Oh Y</searchLink>; Department of Laboratory Medicine, Green Cross Laboratories, Yongin, South Korea.<br /><searchLink fieldCode="AU" term="%22Ryu+H%22">Ryu H</searchLink>; Department of Laboratory Medicine, Seegene Medical Foundation, Seoul, South Korea.
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  Data: <searchLink fieldCode="JN" term="%229711057%22">International journal of medical informatics</searchLink> [Int J Med Inform] 2026 Apr 01; Vol. 209, pp. 106270. <i>Date of Electronic Publication: </i>2026 Jan 06.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Science+Ireland+Ltd%22">Elsevier Science Ireland Ltd </searchLink><i>Country of Publication: </i>Ireland <i>NLM ID: </i>9711057 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1872-8243 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2213865056%22">13865056 </searchLink><i>NLM ISO Abbreviation: </i>Int J Med Inform <i>Subsets: </i>MEDLINE
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