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10/28/2022 9:49:07 AM | Browse: 301 | Download: 1233
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Received |
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2022-06-22 07:31 |
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Peer-Review Started |
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2022-06-22 07:35 |
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To Make the First Decision |
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Return for Revision |
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2022-07-12 06:14 |
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Revised |
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2022-07-13 08:15 |
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Second Decision |
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2022-10-24 03:56 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2022-10-27 14:00 |
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Articles in Press |
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2022-10-27 14:00 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2022-09-30 01:25 |
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Typeset the Manuscript |
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2022-10-28 01:20 |
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Publish the Manuscript Online |
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2022-10-28 07:46 |
| ISSN |
2644-3236 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
| Copyright |
©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Gastroenterology & Hepatology |
| Manuscript Type |
Prospective Study |
| Article Title |
Dietary counseling based on artificial intelligence for patients with nonalcoholic fatty liver disease
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Yumi Kusano, Kei Funada, Mayumi Yamaguchi, Miwa Sugawara and Masaya Tamano |
| Funding Agency and Grant Number |
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| Corresponding Author |
Masaya Tamano, PhD, Professor, Department of Gastroenterology, Dokkyo Medical University Saitama Medical Center, 2-1-50 Minami-Koshigaya, Koshigaya 343-8555, Saitama, Japan. mstamano@dokkyomed.ac.jp |
| Key Words |
Artificial intelligence; Dietary counselling; Nonalcoholic fatty liver disease; Nonalcoholic steatohepatitis; Nutrition management software applications |
| Core Tip |
Use of artificial intelligence (AI)-based nutrition management software (Calomeal) appeared to raise awareness of nonalcoholic fatty liver disease patients’ dietary habits, and they showed significant decreases in liver enzyme and triglyceride levels at the 6-mo follow-up compared to baseline. The food analysis capability of the AI package used in this study was 75.1%, and patient satisfaction with the AI-based dietary counselling was high. However, due to the limitations of the food analysis capabilities of AI, it did not directly alleviate the burden of registered dietitians, and improvements in the analytical capabilities of AI are much anticipated. |
| Publish Date |
2022-10-28 07:46 |
| Citation |
Kusano Y, Funada K, Yamaguchi M, Sugawara M, Tamano M. Dietary counseling based on artificial intelligence for patients with nonalcoholic fatty liver disease. Artif Intell Gastroenterol 2022; 3(4):105-116 |
| URL |
https://www.wjgnet.com/2644-3236/full/v3/i4/105.htm |
| DOI |
https://dx.doi.org/10.35712/aig.v3.i4.105 |
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