Assessing real-life food consumption in hospital with an automatic image recognition device: A pilot study.

Journal: Clinical nutrition ESPEN
Published Date: Aug 1, 2025

Abstract

BACKGROUND AND AIMS: Accurate dietary intake assessment is essential for nutritional care in hospitals, yet it is time-consuming for caregivers and therefore not routinely performed. Recent advancements in artificial intelligence (AI) offer promising opportunities to streamline this process. This study aimed to evaluate the feasibility of using an AI-based image recognition prototype, developed through machine learning algorithms, to automate dietary intake assessment within the hospital catering context.

Authors

  • Laura Albaladejo
    Univ. Grenoble Alpes, CNRS, UMR 5525, VetAgro Sup, Grenoble INP, TIMC, 38000 Grenoble, France. Electronic address: laura.albaladejo@univ-grenoble-alpes.fr.
  • Joris Giai
    Clinical Investigation Center, Grenoble University Hospital, Grenoble, France.
  • Cyril Deronne
    DMCC Company, 54000 Nancy, France.
  • Romain Baude
    APREX Solutions, 2 Allée André Guinier, 54 000 Nancy, France.
  • Jean-Luc Bosson
    Clinical Investigation Center, Grenoble University Hospital, Grenoble, France.
  • Cécile Bétry
    Centre Intégré de l'Obésité Rhône-Alpes, Fédération Hospitalo-Universitaire DO-iT, Department of Endocrinology and Nutrition, Groupement Hospitalier Sud, Hospices Civils de Lyon, Lyon, France.

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