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Using One-Shot Prompting of Non-Fine-Tuned Commercial Artificial Intelligence to Assess Nutrients from Photographs of Japanese Meals.

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Title: Using One-Shot Prompting of Non-Fine-Tuned Commercial Artificial Intelligence to Assess Nutrients from Photographs of Japanese Meals.
Authors: Ji Y; Department of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan., Waki K; Department of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.; Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan., Yamauchi T; Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan., Nangaku M; Division of Nephrology and Endocrinology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan., Ohe K; Department of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Source: Journal of diabetes science and technology [J Diabetes Sci Technol] 2026 May; Vol. 20 (3), pp. 1015-1020. Date of Electronic Publication: 2025 Jan 10.
Publication Type: Journal Article
Journal Info: Publisher: Sage Country of Publication: United States NLM ID: 101306166 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1932-2968 (Electronic) Linking ISSN: 19322968 NLM ISO Abbreviation: J Diabetes Sci Technol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Ji+Y%22">Ji Y</searchLink>; Department of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Waki+K%22">Waki K</searchLink>; Department of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.; Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Yamauchi+T%22">Yamauchi T</searchLink>; Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Nangaku+M%22">Nangaku M</searchLink>; Division of Nephrology and Endocrinology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Ohe+K%22">Ohe K</searchLink>; Department of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
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  Data: <searchLink fieldCode="JN" term="%22101306166%22">Journal of diabetes science and technology</searchLink> [J Diabetes Sci Technol] 2026 May; Vol. 20 (3), pp. 1015-1020. <i>Date of Electronic Publication: </i>2025 Jan 10.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Sage%22">Sage </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101306166 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1932-2968 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2219322968%22">19322968 </searchLink><i>NLM ISO Abbreviation: </i>J Diabetes Sci Technol <i>Subsets: </i>MEDLINE
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        Value: 10.1177/19322968241309889
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      – Code: eng
        Text: English
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              Text: 2026 May
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