Popular Nutrition-Related Mobile Apps: A Feature Assessment.
Rodrigo Zenun FrancoRosalind FallaizeJulie Anne LovegroveFaustina HwangPublished in: JMIR mHealth and uHealth (2016)
The high number of installs indicates that there is a clear interest and opportunity for diet monitoring and recommendation using mobile apps. All the apps collecting dietary intake used the same nutrition assessment method (ie, food diary record) and technologies for data input (ie, text search and barcode scanner). Emerging technologies, such as image recognition, natural language processing, and artificial intelligence, were not identified. None of the apps had a decision engine capable of providing personalized diet advice.