Current Role at Stanford

Research Program Coordinator - NOURISH

Education & Certifications

  • B.S., Rowan University, Biological Sciences, Thomas N. Bantivoglio Honors Concentration

Contact

  • Work
    stephibe@stanford.edu
    University - Staff Department: Med/Primary Care and Population Health Position: Research Program Coordinator NOURISH - Casual
    University - Affiliate Department: Med/Primary Care and Population Health

Additional Info

  • Mail Code: 5411

All Publications

  • A Scoping Review of Artificial Intelligence for Precision Nutrition. Advances in nutrition (Bethesda, Md.) Wu, X., Oniani, D., Shao, Z., Arciero, P., Sivarajkumar, S., Hilsman, J., Mohr, A. E., Ibe, S., Moharir, M., Li, L. J., Jain, R., Chen, J., Wang, Y. 2025: 100398

    Abstract

    With the role of artificial intelligence (AI) in precision nutrition rapidly expanding, a scoping review on recent studies and potential future directions is demanded.This scoping review examines: (1) the current landscape, including publication venues, targeted diseases, AI applications, methods, evaluation metrics, and considerations of minority and cultural factors; (2) common patterns in AI-driven precision nutrition studies; and (3) gaps, challenges and future research directions.Following the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) process, we extracted 198 articles from major databases with search keywords in three categories: precision nutrition keywords, artificial intelligence keywords and natural language processing keywords.The extracted literature reveals a surge in AI-driven precision nutrition research, with ∼75% (n=148) published since 2020. It also showcases a diverse publication landscape, with these studies predominantly focusing on diet-related diseases, such as diabetes and cardiovascular conditions, while emphasizing health optimization, disease prevention, and management. We highlight diverse datasets and critically discuss methodologies and evaluation metrics to guide future studies. Importantly, we underscore the significance of minority and cultural aspects in enhancing health technologies and advancing equity. Future research should deepen the integration of these factors to fully harness AI's potential in precision nutrition.This scoping review offers the most recent advancements in artificial intelligence for precision nutrition studies, expanding the scope to not only AI methodologies and their applications but also evaluates publication venues, targeted disease, datasets used and minority and cultural factors, which have been mostly overlooked in prior studies. Furthermore, with numerous gaps and challenges presented in the discussion section, this review significantly improves the understanding of AI's role in precision nutrition and provides new insights for future research.

    View details for DOI 10.1016/j.advnut.2025.100398

    View details for PubMedID 40024275