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GI and Nutrition
Concurrent

AI on the Menu: Optimizing Nutrition Goals for Critically Ill Patients

Sunday, March 22, 2026
10:30 AM - 11:30 AM Central Time
Location: W181

AI has numerous applications in critical care medicine, and nutrition support is no exception. Numerous methods have been developed for estimating nutritional needs of critically ill patients, but these typically fail to account for individualized needs. Another challenge encountered in critical care is the impact of nothing-by-mouth status on patients' nutritional goals. For example, enteral feeds are held for procedures so total daily intake is lower than desired.. AI-based algorithms have been proposed to determine personalized nutrition goals for critically ill patients and to titrate enteral nutrition throughout the day to meet goals. These strategies will be discussed as well as barriers to, and challenges of, implementation.

Learning Objectives:

  • Describe the need for individualized nutritional goals in critically ill patients
  • Review evidence for AI-based algorithms in creating personalized nutrition goals
  • Review evidence for AI-based algorithms in optimizing delivery of enteral nutrition
  • Discuss challenges of, and barriers to, implementing AI-based algorithms in nutrition support

Presentations:

  • 10:35 AM - 10:50 AM Central Time
    One Size Doesn't Fit All: Personalizing Nutrition Goals in the ICU

    Ashley DePriest, LD, MS, RD, CNSC – Emory Healthcare

  • 10:50 AM - 11:05 AM Central Time
    Feeding the Future: Application of AI to Personalize Nutrition in the ICU

    Ankit Sakhuja, MBBS, MS – Icahn School of Medicine at Mount Sinai

  • 11:05 AM - 11:20 AM Central Time
    Tech Bites: Overcoming Barriers to AI-Powered Nutrition in the ICU

    Joseph M. Swanson, PharmD, FCCP, FCCM (he/him/his) – University of Tennessee Health Science Center