What question did this study set out to answer?

The central aim is to assess adherence to the Mediterranean diet using an automated smartphone application that analyzes food images.

December 7, 2020NutrientsOpen Access

Assessing Mediterranean Diet Adherence with the Smartphone: The Medipiatto Project

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Randomized trial evaluates adherence to the Mediterranean diet in users through a smartphone app, suggesting improved dietary tracking capabilities.

The central aim is to assess adherence to the Mediterranean diet using an automated smartphone application that analyzes food images.
Developed an automated smartphone application to monitor food intake based on Mediterranean diet guidelines.
Utilized a combination of convolutional neural networks and graph convolutional networks to identify foods and their quantities from user images.
Defined rules for adherence estimation that align with Mediterranean diet food groups.
The system outperformed a basic CNN in food recognition and quantity estimation.
Comparable adherence estimation results were observed when compared to experienced dietitians.
Promising findings suggest further data collection and refinements could enhance accuracy.

Vasiloglou et al. (2020) studied this question.

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Randomized trial evaluates adherence to the Mediterranean diet in users through a smartphone app, suggesting improved dietary tracking capabilities.