Artificial intelligence-guided nutritional therapy in the ICU
Artificial intelligence-driven nutrition therapies have the potential to significantly improve the precision, safety, and personalization of ICU nutrition practices. Continued development and validation using standardized, comprehensive, longitudinal datasets, and validation in comparative clinical trials will be critical to realizing this transformative potential.
Authors
- Thanaphong Phongpreecha (ORCID: https://orcid.org/0000-0001-9245-6686)
- Nima Aghaeepour (ORCID: https://orcid.org/0000-0002-6117-8764)
- David M. Peng (ORCID: https://orcid.org/0000-0001-7763-7518)
Institutions
- IDEO (United States) (US)
- DMA Health Strategies (US)
- Pain and Rehabilitation Medicine (US)
- Stanford University (US)
Publication Details
- Journal
- Current Opinion in Clinical Nutrition & Metabolic Care
- Published
- 2025-11-24
- DOI
- https://doi.org/10.1097/mco.0000000000001189
- Primary Topic
- Clinical Nutrition and Gastroenterology
- Type
- article
- Field-Weighted Citation Impact
- 0.00