@article{oai:kanazawa-u.repo.nii.ac.jp:00047464,
 author = {大家, 理恵 and 野村, 章洋 and 米谷, 充弘 and 吉村, 健一 and 米田, 隆 and Oka, Rie and Nomura, Akihiro and Yasugi, Ayaka and Kometani, Mitsuhiro and Gondoh, Yuko and Yoshimura, Kenichi and Yoneda, Takashi},
 issue = {3},
 journal = {Diabetes Therapy},
 month = {Jun},
 note = {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},
 pages = {1151--1161},
 title = {Study Protocol for the Effects of Artificial Intelligence (AI)-Supported Automated Nutritional Intervention on Glycemic Control in Patients with Type 2 Diabetes Mellitus},
 volume = {10},
 year = {2019}
}