Advancements in Using AI for Dietary Assessment Based on Food Images: Scoping Review
This review highlights the progress made by IADA, particularly in the areas of food identification and portion estimation. Advancements in AI techniques have shown great potential to improve the accuracy and efficiency of this field. However, it is crucial to involve dietitians and nutritionists in the development of these systems to ensure they meet the requirements and trust of professionals in the field.
Authors
- Pimnapanut Sridonpai (ORCID: https://orcid.org/0000-0002-9669-4160)
- Wantanee Kriengsinyos (ORCID: https://orcid.org/0000-0001-8262-5095)
- Phawinpon Chotwanvirat (ORCID: https://orcid.org/0000-0003-4714-790X)
- Aree Prachansuwan (ORCID: https://orcid.org/0000-0003-3062-276X)
Institutions
- Mahidol University (TH)
- Bangkok Metropolitan Administration (TH)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2024-11-15
- DOI
- https://doi.org/10.2196/51432
- Citations
- 32
- Primary Topic
- Nutritional Studies and Diet
- Type
- article
- Field-Weighted Citation Impact
- 17.37