A cross-sectional study of the artificial intelligence and metaverse for healthy food and skin health
Background: This study investigated nutritional information for a healthy and beautiful life of Koreans, focusing on the need for diet and nutritional supplements for each disease according to health status based on big data in 2012 when the swine flu was prevalent. In the past, the H1N1 influenza epidemic in Korea has a prognosis like that of coronavirus disease 2019 (COVID-19). Post-COVID-19, research on health should be conducted systematically, and nutrition education and product development for sustainable health and beautiful life should be conducted worldwide. This study was conducted to find out health information by age group for artificial intelligence (AI) and metaverse app development in the Web 3.0 era, reflecting the interest in and need for healthy living, beauty information, and functional diet as infectious diseases are recurring around the world. Methods: This study was conducted using data from the 5th Korea National Health and Nutrition Examination Survey (KNHANES V-3) in 2012. Nutrition information was surveyed on 7,214 people aged 1 year or older. Results: As for nutritional requirements by age, 188 of the total respondents answered vitamins, and 62 (16.6%) chose other essential nutrients. The remaining 52 respondents mentioned protein. At all ages, vitamins are the number one essential nutrient. Conclusions: This study is expected to contribute to the development of nutritionally fortified functional foods that can be customized for specific diseases by using the basic data of the 2012 influenza epidemic index. In addition, by developing contents in the Web 3.0 era using AI and metaverse, we want to contribute to the sustainable life of people around the world, beauty, and continuous improvement and development of skin diseases.
Authors
- Jinkyung Lee (ORCID: https://orcid.org/0000-0003-3819-3066)
- Ki Han Kwon (ORCID: https://orcid.org/0000-0001-6078-5899)
Institutions
- Kookmin University (KR)
- Korea National University of Arts (KR)
Publication Details
- Journal
- Journal of Medical Artificial Intelligence
- Published
- 2024-12-16
- DOI
- https://doi.org/10.21037/jmai-24-189
- Citations
- 2
- Primary Topic
- Diverse Topics in Contemporary Research
- Type
- article
- Field-Weighted Citation Impact
- 8.58