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Artificial Intelligence for Dietary Management
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Author(s): Wasswa Shafik (Dig Connectivity Research Laboratory (DCRLab), Kampala, Uganda & School of Digital Science, Universiti Brunei Darussalam, Brunei)
Copyright: 2024
Pages: 39
Source title:
Nutrition Controversies and Advances in Autoimmune Disease
Source Author(s)/Editor(s): Srikanta Patnaik (SOA University, India & Interscience Institute of Management and Technology, India), Ahmed M. Hamad (Benha University, Egypt), Debjyoti Paul (Amity University, Kolkata, India), Pushan Kumar Dutta (Amity University, Kolkata, India)and Muhammad Shafiq (Guangzhou University, China & Shenyang Normal University, China)
DOI: 10.4018/979-8-3693-5528-2.ch009
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Abstract
This chapter discusses how AI can create nutrition regimens and monitor nutrition with food recognition systems and chatbots. Real-world case studies to teach viewers how to employ appropriate AI applications are shown. It concludes with key findings, insights, and how AI is changing nutritional monitoring. This carefully structured examination explains the synergies between AI and nutritional delivery as well as the honest issues, obstacles, and advanced tendencies that constitute this revolutionary confluence of innovation and healthcare.
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