Aug 2026· Adolescência e Saúde· Vol 21, pp. 1387-1395· 0 citations· 64 references
TL;DR
Need of the hour is interdisciplinary collaboration between AI experts and nutritionists for more seamless, effortless and accurate results in nutrition.
Abstract
Artificial Intelligence (AI) is an emerging and rapidly expanding technology in nutrition that holds significant potential to revolutionise the field. AI and its algorithms, is capable of understanding complex interactions, analysing complex data and interpreting images. The key applications of AI in nutrition field are in personalized nutrition and diet planning, dietary intake assessment and monitoring, prevention of malnutrition, disease prevention and management, virtual nutritional guidance, food product development and nutrition research. AI is reshaping the field of nutrition in ways that were unimaginable in the previous era. Through their accuracy and efficiency, wearable devices, and chatbot applications are revolutionizing the nutrition field. However, AI applications are not well known in this field, especially in low- and middle-income countries. AI applications may be adapted and applied in nutrition, but they need to be investigated. Addressing data privacy and bias, ensuring the accuracy of AI algorithms and overcoming ethical concerns are major future challenges. Need of the hour is interdisciplinary collaboration between AI experts and nutritionists for more seamless, effortless and accurate results.
Ever since the concept that machines can “think” was coined in the 1950s, artificial intelligence (AI) has
evolved in various forms and with increasing capabilities, including the application of AI to public health
issues. Diets and nutrition play a key role in human health and disease. The growing epidemics of chron...
Jian Sabripour, Zhi-Yong Cheng, Karla P. Shellnutt· UF Journal of Undergraduate...· 0 citations
The efficacy of incorporating artificial intelligence technologies into personalized recommendations for health improvement and symptom reduction in chronic diseases has been proven, with results demonstrating significant enhancements in patients' metabolic parameters and life quality.
Z. Burova, Maksym Hudzenko, Y. Kryzhova et al.· Human and nation s health· 0 citations
Obesity is a complex, chronic, and heterogeneous disease that affects more than one billion people worldwide and represents one of the greatest public health challenges of the twenty-first century. Despite significant advances in pharmacotherapy, including glucagon-like peptide-1 receptor agonists (GLP-1 RAs) and dual...
Alicja Włodarczyk, Hubert Łagosz, P. Wites et al.· International Journal of Inn...· 0 citations
Computational Nutrition is an emerging interdisciplinary field that addresses complex challenges in nutrition and health through computational methods and multimodal data. Major research directions include 1) prediction of personalized metabolic responses to foods, 2) causal inference and individualized treatment effec...
Miao Xie, Yu Dong, Jie Guo et al.· Journal of NutriLife· 0 citations
The approaches developed by the first four institutional awardees of the T32 AIPrN training grant are described and applied strategies for interdisciplinary training, data integration, and methodological innovation are highlighted as the research community prepares to analyze and interpret data generated by major initi...
Saurabh Mehta, S. Huey, Paraskevi Massara et al.· Journal of NutriLife· 0 citations
Artificial intelligence (AI) is rapidly transforming health care, offering new opportunities to enhance education, clinical care, and system-level integration. Lifestyle medicine (LM), with its emphasis on behavior change and whole-person care is particularly well positioned to benefit from these advances. This perspec...
L. Lianov· American Journal of Lifestyl...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.