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. |
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| 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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| ISSN: | 1932-2968 |
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| DOI: | 10.1177/19322968241309889 |
