Enhancing Hospital Nutrition Assessment Through Artificial Intelligence: A Prospective Tray-Level Pilot Study
: This pilot study shows the feasibility of AI-based intake monitoring in a real-world hospital setting. Our findings are exploratory and based on tray-level analyses; a systematic underestimation bias was observed, and superiority of the AI system over routine documentation cannot be established.
Authors
- Giuseppe Donnarumma (ORCID: https://orcid.org/0000-0002-0287-9069)
- Solidea Baldas (ORCID: https://orcid.org/0000-0002-3670-2069)
- Corrado Lanera (ORCID: https://orcid.org/0000-0002-0520-7428)
- Federica Zobec
- Honoria Ocagli (ORCID: https://orcid.org/0000-0002-5823-1659)
- Giulia Lorenzoni (ORCID: https://orcid.org/0000-0003-1771-4686)
- Alois Saller
- Sofia Favaretto
- Paolo Da Rold
- Giorgia Shasivari
- Chiara Giarracca
- Dario Gregori (ORCID: https://orcid.org/0000-0001-7906-0580)
Institutions
- University of Padua (IT)
- University of Trieste (IT)
- Ospedale Sant Antonio (IT)
- Città della Speranza Foundation (IT)
Publication Details
- Journal
- Nutrients
- Published
- 2026-04-14
- DOI
- https://doi.org/10.3390/nu18081234
- Primary Topic
- Nutrition and Health in Aging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission