{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T23:09:53Z","timestamp":1792192193200,"version":"4.4.0"},"reference-count":17,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T00:00:00Z","timestamp":1773878400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science","doi-asserted-by":"crossref","award":["JP22K02096"],"award-info":[{"award-number":["JP22K02096"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science","doi-asserted-by":"crossref","award":["JP23K25247"],"award-info":[{"award-number":["JP23K25247"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100002241","name":"Japan Science and Technology Agency","doi-asserted-by":"publisher","award":["JPMJCR22U4"],"award-info":[{"award-number":["JPMJCR22U4"]}],"id":[{"id":"10.13039\/501100002241","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Nutrients"],"abstract":"<jats:p>Objectives: In Japan, smartphone applications are increasingly used for dietary recording in healthcare settings. This study aimed to examine the agreement between energy and nutrient intake estimates obtained using an artificial intelligence (AI)-based dietary recording application and those obtained using the weighed dietary record (WDR). Methods: The AI-based dietary recording method (FoodLog Athl method) was compared with WDR. Thirty-six university students (35 women and 1 man) simultaneously recorded their dietary intake using FoodLog Athl (FLA) and the WDR for 10 consecutive days. Energy and nutrient intakes were estimated using each method, and correlations and agreement between the two methods were evaluated. Results: Significant positive correlations were observed between the two methods for energy and most nutrients, except for iron, vitamin B1, and sodium chloride equivalent (p &lt; 0.01). Compared with the WDR, the FLA method showed systematic overestimation of energy and major macronutrients (protein, fat, and carbohydrate) and underestimation of total dietary fiber. Bland\u2013Altman analysis indicated fixed bias and relatively wide limits of agreement for several nutrients. Conclusions: The FLA method demonstrated moderate agreement with the WDR, with systematic bias observed for selected nutrients. These findings suggest that the application may be useful for monitoring overall dietary trends or relative intake over time, but caution is warranted when precise individual-level nutrient quantification is required. Professional review by registered dietitians may help improve estimation accuracy and reduce bias.<\/jats:p>","DOI":"10.3390\/nu18060980","type":"journal-article","created":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T15:38:01Z","timestamp":1773934681000},"page":"980","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Agreement Between an Artificial Intelligence-Based Meal Image Recognition System and the Weighed Dietary Record for Estimating Energy and Nutrient Intakes"],"prefix":"10.3390","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5956-0262","authenticated-orcid":false,"given":"Akiko","family":"Sunto","sequence":"first","affiliation":[{"name":"School of Nutrition and Dietetics, Faculty of Health and Social Services, Kanagawa University of Human Services, Yokohama 238-8522, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2146-6275","authenticated-orcid":false,"given":"Kiyoharu","family":"Aizawa","sequence":"additional","affiliation":[{"name":"The University of Tokyo, Tokyo 113-8656, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2752-6179","authenticated-orcid":false,"given":"Yoko","family":"Yamakata","sequence":"additional","affiliation":[{"name":"Information Technology Center, The University of Tokyo, Tokyo 113-8656, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2369-1003","authenticated-orcid":false,"given":"Ayaka","family":"Iida","sequence":"additional","affiliation":[{"name":"School of Nutrition and Dietetics, Faculty of Health and Social Services, Kanagawa University of Human Services, Yokohama 238-8522, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shihoko","family":"Suzuki","sequence":"additional","affiliation":[{"name":"School of Nutrition and Dietetics, Faculty of Health and Social Services, Kanagawa University of Human Services, Yokohama 238-8522, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,3,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2321","DOI":"10.1093\/advances\/nmab058","article-title":"A Systematic Review and Meta-Analysis of Validation Studies Performed on Dietary Record Apps","volume":"12","author":"Zhang","year":"2021","journal-title":"Adv. Nutr."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Shinozaki, N., and Murakami, K. (2020). Evaluation of the Ability of Diet-Tracking Mobile Applications to Estimate Energy and Nutrient Intake in Japan. Nutrients, 12.","DOI":"10.3390\/nu12113327"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Iizuka, K., Ishihara, T., Watanabe, M., Ito, A., Sarai, M., Miyahara, R., Suzuki, A., Saitoh, E., and Sasaki, H. (2022). Nutritional Assessment of Hospital Meals by Food-Recording Applications. Nutrients, 14.","DOI":"10.3390\/nu14183754"},{"key":"ref_4","unstructured":"(2025, January 12). FoodLog Athl. Available online: https:\/\/food-log.notion.site\/FoodLog-Athl-532157a68add4c80b352747b49317cae."},{"key":"ref_5","first-page":"592","article-title":"Life Log: Food Log and Future Prospect of Life Log","volume":"50","author":"Aizawa","year":"2009","journal-title":"Jpn. J. Inf. Process."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1177\/1932296814522745","article-title":"Comparative Study of the Routine Daily Usability of FoodLog: A Smartphone-based Food Recording Tool Assisted by Image Retrieval","volume":"8","author":"Aizawa","year":"2014","journal-title":"J. Diabetes Sci. Technol."},{"key":"ref_7","unstructured":"The Japanese Ministry of Education, Culture, Sports, Science and Technology (2020). The Japanese Standard Tables of Food Composition in Japan 2020, The Japanese Ministry of Education, Culture, Sports, Science and Technology. [8th ed.]. Available online: https:\/\/www.mext.go.jp\/a_menu\/syokuhinseibun\/mext_01110.html."},{"key":"ref_8","unstructured":"Food and Agriculture Organization of the United Nations (2026, January 30). Dietary Assessment: A Resource Guide to Method Selection and Application in Low Resource Settings. 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Diet."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"891","DOI":"10.1038\/oby.2011.344","article-title":"Validity of the Remote Food Photography Method (RFPM) for estimating energy and nutrient intake in near real-time","volume":"20","author":"Martin","year":"2012","journal-title":"Obesity"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"e16953","DOI":"10.2196\/16953","article-title":"Validity and Usability of a Smartphone Image-Based Dietary Assessment App Compared to 3-Day Food Diaries in Assessing Dietary Intake Among Canadian Adults: Randomized Controlled Trial","volume":"8","author":"Ji","year":"2020","journal-title":"JMIR Mhealth Uhealth"}],"container-title":["Nutrients"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-6643\/18\/6\/980\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,21]],"date-time":"2026-03-21T05:33:32Z","timestamp":1774071212000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-6643\/18\/6\/980"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,19]]},"references-count":17,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2026,3]]}},"alternative-id":["nu18060980"],"URL":"https:\/\/doi.org\/10.3390\/nu18060980","relation":{},"ISSN":["2072-6643"],"issn-type":[{"value":"2072-6643","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3,19]]}}}