2026-03-14T10:34:27Z https://kanazawa-u.repo.nii.ac.jp/oai

oai:kanazawa-u.repo.nii.ac.jp:00047464 2024-06-11T08:05:15Z 4193:4194:4195

Study Protocol for the Effects of Artificial Intelligence (AI)-Supported Automated Nutritional Intervention on Glycemic Control in Patients with Type 2 Diabetes Mellitus 大家, 理恵 野村, 章洋 米谷, 充弘 吉村, 健一 米田, 隆 30303275 Oka, Rie 30707542 Nomura, Akihiro Yasugi, Ayaka Kometani, Mitsuhiro Gondoh, Yuko 30415517 Yoshimura, Kenichi 60313649 Yoneda, Takashi Copyright © The Author(s) 2019 Nutritional intervention is effective in improving glycemic control in patients with type 2 diabetes but requires large inputs of manpower. Recent improvements in photo analysis technology facilitated by artificial intelligence (AI) and remote communication technologies have enabled automated evaluations of nutrient intakes. AI- and mobile-supported nutritional intervention is expected to be an alternative approach to conventional in-person nutritional intervention, but with less human resources, although supporting evidence is not yet complete. The aim of this study is to test the hypothesis that AI-supported nutritional intervention is as efficacious as the in-person, face-to-face method in terms of improving glycemic control in patients with type 2 diabetes. 金沢大学融合研究域融合科学系 / 金沢大学附属病院代謝内科 Springer (part of Springer Nature) 2019-06 2019-05-27 eng journal article VoR https://doi.org/10.24517/00053790 http://hdl.handle.net/2297/00053790 https://kanazawa-u.repo.nii.ac.jp/records/47464 10.24517/00053790 10.1007/s13300-019-0595-5 https://link.springer.com/article/10.1007/s13300-019-0595-5 https://link.springer.com/article/10.1007/s13300-019-0595-5 1869-6953 Diabetes Therapy 10 3 1151 1161 https://kanazawa-u.repo.nii.ac.jp/record/47464/files/HO-PR-OKA-R-0595-5.pdf application/pdf 1.1 MB 2019-07-01