V A Tutelyan, I Yu Tarmaeva, M A Kade, D B Nikityuk
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A patent was created and received for a scientific web tool (SINA) based on AI technologies for actual nutrition analyzing with subs equent assessment of health status and generation of recommendations, including a personalized diet, which is formed based on individual human needs for energy, nutrients and bioactive compounds, taking into account genome, gender characteristics, age, food preferences, profession, diseases, medication treatment, clinical blood parameters, individual morphological and constitutional characteristics, his physical activity, etc. <b>Conclusion</b>. The results of using SINA can reduce the labor costs of doctors; personalize diets as much as possible taking into account many factors; increase patient adherence to the prescribed diet and recommendations; increase public awareness of nutrition issues, reduce morbidity rates and improve public health. The high-tech approach using AI is advanced and is capable of solving many key challenges in the field of health care, prevention and medicine in general, and improve the quality of life of the population.</p>","PeriodicalId":23652,"journal":{"name":"Voprosy pitaniia","volume":"93 4","pages":"6-13"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Medicine of the future: the role of artificial intelligence in optimizing nutrition for the health of the Russian population].\",\"authors\":\"V A Tutelyan, I Yu Tarmaeva, M A Kade, D B Nikityuk\",\"doi\":\"10.33029/0042-8833-2024-93-4-6-13\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>One of the most pressing medical, social and government tasks is to ensure health saving, improve the quality of life and increase the life expectancy of the Russian population. The most important lever to ensure the solution of these issues is the optimization of nutrition and the use of methods of artificial intelligence (AI) and new information technologies to support decision-making in this area. <b>The purpose</b> of the study was to familiarize specialists with the Scientific Instrument for Nutrition Analysis (SINA), created on the basis of AI technologies to optimize nutrition and prevent alimentary diseases in order to preserve the health of the population of the Russian Federation. <b>Results</b>. A patent was created and received for a scientific web tool (SINA) based on AI technologies for actual nutrition analyzing with subs equent assessment of health status and generation of recommendations, including a personalized diet, which is formed based on individual human needs for energy, nutrients and bioactive compounds, taking into account genome, gender characteristics, age, food preferences, profession, diseases, medication treatment, clinical blood parameters, individual morphological and constitutional characteristics, his physical activity, etc. <b>Conclusion</b>. The results of using SINA can reduce the labor costs of doctors; personalize diets as much as possible taking into account many factors; increase patient adherence to the prescribed diet and recommendations; increase public awareness of nutrition issues, reduce morbidity rates and improve public health. The high-tech approach using AI is advanced and is capable of solving many key challenges in the field of health care, prevention and medicine in general, and improve the quality of life of the population.</p>\",\"PeriodicalId\":23652,\"journal\":{\"name\":\"Voprosy pitaniia\",\"volume\":\"93 4\",\"pages\":\"6-13\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Voprosy pitaniia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33029/0042-8833-2024-93-4-6-13\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/7/15 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Voprosy pitaniia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33029/0042-8833-2024-93-4-6-13","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/7/15 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
摘要
最紧迫的医疗、社会和政府任务之一是确保俄罗斯人口的健康储蓄、提高生活质量和延长预期寿命。确保解决这些问题的最重要杠杆是优化营养,以及使用人工智能(AI)方法和新信息技术来支持该领域的决策。这项研究的目的是让专家们熟悉营养分析科学仪器(SINA),该仪器是在人工智能技术的基础上创建的,旨在优化营养和预防消化系统疾病,以保护俄罗斯联邦人民的健康。成果。根据基因组、性别特征、年龄、食物偏好、职业、疾病、药物治疗、临床血液参数、个人形态和体质特征、体力活动等因素,根据个人对能量、营养和生物活性化合物的需求,为基于人工智能技术的实际营养分析科学网络工具(SINA)创建并获得了专利。结论使用 SINA 的结果可以降低医生的劳动成本;在考虑多种因素的情况下尽可能实现个性化饮食;提高患者对规定饮食和建议的依从性;提高公众对营养问题的认识,降低发病率,改善公众健康。利用人工智能的高科技方法是先进的,能够解决医疗保健、预防和医学领域的许多关键挑战,提高人们的生活质量。
[Medicine of the future: the role of artificial intelligence in optimizing nutrition for the health of the Russian population].
One of the most pressing medical, social and government tasks is to ensure health saving, improve the quality of life and increase the life expectancy of the Russian population. The most important lever to ensure the solution of these issues is the optimization of nutrition and the use of methods of artificial intelligence (AI) and new information technologies to support decision-making in this area. The purpose of the study was to familiarize specialists with the Scientific Instrument for Nutrition Analysis (SINA), created on the basis of AI technologies to optimize nutrition and prevent alimentary diseases in order to preserve the health of the population of the Russian Federation. Results. A patent was created and received for a scientific web tool (SINA) based on AI technologies for actual nutrition analyzing with subs equent assessment of health status and generation of recommendations, including a personalized diet, which is formed based on individual human needs for energy, nutrients and bioactive compounds, taking into account genome, gender characteristics, age, food preferences, profession, diseases, medication treatment, clinical blood parameters, individual morphological and constitutional characteristics, his physical activity, etc. Conclusion. The results of using SINA can reduce the labor costs of doctors; personalize diets as much as possible taking into account many factors; increase patient adherence to the prescribed diet and recommendations; increase public awareness of nutrition issues, reduce morbidity rates and improve public health. The high-tech approach using AI is advanced and is capable of solving many key challenges in the field of health care, prevention and medicine in general, and improve the quality of life of the population.