Assessing real-life food consumption in hospital with an automatic image recognition device: A pilot study
This pilot study demonstrates an AI-based system to assess food types and portions in a hospital setting. Further improvements are necessary before the system can be reliably used in direct patient care.
Authors
- Cécile Betry (ORCID: https://orcid.org/0000-0001-6729-2704)
- Joris Giai (ORCID: https://orcid.org/0000-0003-2424-8046)
- Laura Albaladejo
- R. Baude
- Jean-Luc Bosson
- Cyril Deronne
Institutions
- Centre National de la Recherche Scientifique (FR)
- Inserm (FR)
- Centre Hospitalier Universitaire de Grenoble (FR)
- Techniques of Informatics and Microelectronics for Integrated Systems Architecture (FR)
- Centre d’Investigation Clinique Innovation Technologique de Nancy (FR)
- SC Solutions (United States) (US)
- Translational Innovation in Medicine and Complexity (FR)
- Université Grenoble Alpes (FR)
Publication Details
- Journal
- Clinical Nutrition ESPEN
- Published
- 2025-05-17
- DOI
- https://doi.org/10.1016/j.clnesp.2025.05.017
- Citations
- 3
- Primary Topic
- Nutritional Studies and Diet
- Type
- article
- Field-Weighted Citation Impact
- 5.64
Funders
- Société Française de Nutrition Entérale et Parentérale