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AI Resources


 

This 13-minute video provides an introduction and a comprehensive overview of artificial intelligence (AI). After watching the video, use the link below to complete a brief self-assessment to evaluate your understanding of the key concepts discussed.

 

 

 

LINK TO AI QUIZ

 

 

Academy Resources 2026

Artificial Intelligence and Machine Learning Resource Guide;  Academy and ASN's practical framework for evaluating nutrition AI. April 7, 2026. Accessed at https://www.eatrightpro.org/news-center/member-updates/academy-and-asn-joint-task-force-publishes-ai-and-machine-learning-resource-guide.  Accessed June 15, 2026  (Published April 7 2026

New Survey Signals National Nutrition Crisis as Misinformation Outpaces Evidence-Based Care  Available at:  https://www.eatrightpro.org/about-us/for-media/press-releases/new-survey-signals-national-nutrition-crisis-as-misinformation-outpaces-evidence-based-care.  Accessed July 15, 2026

  • This is the source for the findings that one in three respondents had used AI to generate a nutrition or weight-loss plan and that the survey included 1,000 U.S. adults.

Research on meal plans created by AI for adolescents (that demonstrates limitations in AI generated meal plans).  Available at https://www.frontiersin.org/journals/nutrition/articles/10.3389/fnut.2026.1765598/full.  Accessed June 15 2026.

Navigating Future Practice: Technology:  Available at https://www.eatrightpro.org/practice/dietetics-resources/informatics-and-technology/navigating-future-practice-technology-brief.  Accessed December 30, 2024

 

Other References
1. Bond A, McCay K, Lal S. Artificial intelligence and clinical nutrition: What the future might have in store. Clin Nutr ESPEN. 2023;57:542-549. doi:10.1016/j.clnesp.2023.07.082
2. Cruz C, Prado CM, Punja S, Tandon P. Use of digital technologies in the nutritional management of catabolism-prone chronic diseases: A rapid review. Clin Nutr ESPEN. 2021;46:152-166. doi:10.1016/j.clnesp.2021.10.020
3. Kelly JT, Jegatheesan DK, Dawson J, et al. Are digital health technologies and models of nutrition care the future of chronic kidney disease management? J Ren Nutr. 2023;33(6S):S80-S87. doi:10.1053/j.jrn.2023.02.004
4. Milton T. Artificial intelligence transforming hotel gastronomy: An in-depth review of AI-driven innovations in menu design, food preparation, and customer interaction, with a focus on sustainability and future trends in the hospitality industry. Int J Multidimensional Res Perspect. 2024;2(3):47-61. doi:10.61877/ijmrp.v2i3.126 
Available from: https://www.chandigarhphilosophers.com/index.php/ijmrp/article/view/126
5. McLean B. The impact of AI-powered nutrition apps on dietetics. Dietitian Success Center. Accessed December 30, 2024. Available from: https://dietitiansuccesscenter.com/2023/11/22/
6. Naja F, Taktouk M, Matbouli D, et al. Artificial intelligence chatbots for the nutrition management of diabetes and the metabolic syndrome. Eur J Clin Nutr. 2024;78:887-896. doi:10.1038/s41430-024-01476-y
7. Papastratis I, Konstantinidis D, Daras P, Dimitropoulos K. AI nutrition recommendation using a deep generative model and ChatGPT. Sci Rep. 2024;14:14620. doi:10.1038/s41598-024-65438-x Available from: https://www.nature.com/articles/s41598-024-65438-x#citeas
8. Parmar P, Ryu J, Pandya S, Sedoc J, Agarwal S. Health-focused conversational agents in person-centered care: A review of apps. npj Digit Med. 2022;5:21. doi:10.1038/s41746-022-00560-6 Available from: https://www.nature.com/articles/s41746-022-00560-6
9. Singh B, Olds T, Brinsley J, et al. Systematic review and meta-analysis of the effectiveness of chatbots on lifestyle behaviors. npj Digit Med. 2023;6:118. doi:10.1038/s41746-023-00856-1
10. Yaiprasert C, Hidayantov A. AI-powered nutrition in the digital age: Ensemble innovation personalizes food recommendations. J Open Innov Technol Mark Complex. 2024;10(2):100261. doi:10.1016/j.joitmc.2024.100261

Updated July 20, 2026

EXAMPLE Evaluation

An in-depth prompt requesting AI to generate a one-page handout was submitted to ChatGPT-3 in December 2024. Since ChatGPT and other AI models continuously evolve and refine their responses based on training data and algorithmic improvements, the output may vary each time the request is made.

 

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This document highlights the issues identified in the AI-generated content that require editing before use.

 
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