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Are there current solution of using Artificial Intelligence in dietary apps to improve accuracy?

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Artificial Intelligence (AI) is actively utilized in dietary apps to enhance accuracy. Various studies have explored AI-based solutions to improve dietary intake reporting, nutrient analysis, and precision nutrition. For instance, AI models have been developed for multiple-dish food recognition with high precision, aiding in better dietary assessment. Additionally, AI-assisted dietary assessment applications have shown promising results in accurately estimating nutrient intake compared to traditional methods like weighed records and 24-hour recalls. These AI-driven solutions not only streamline the process but also offer accurate insights into users' dietary habits, promoting healthier eating patterns and facilitating personalized nutrition guidance.

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Open access•Journal Article•DOI Validation of mobile AI-technology assisted dietary assessment tool against weighed records and 24-hour recall in adolescent females in Ghana. Gloria Folson, Boateng Bannerman, Vicentia Atadze, Gabriel Ador, Pete McCloskey, Rohit Gangupantulu, Alejandra Arrieta, Bianca Braga, Joanne E Arsenault, Annalyse Kehs, F. Doyle, Lan Mai Tran, Nga Thu Hoang, David Hughes, Phuong H. Nguyen, Aulo Gelli - Show less +15 more 01 Jun 2023-Journal of Nutrition	Yes, the study validated the FRANI mobile AI dietary assessment tool in adolescent females in Ghana, showing accurate estimation of nutrient intake compared to weighed records and 24-hour recalls.
Open access•Journal Article•DOI Validating Accuracy of an Internet-Based Application against USDA Computerized Nutrition Data System for Research on Essential Nutrients among Social-Ethnic Diets for the E-Health Era Ya-Ling Yang, Hsiao-Ling Yang, Joyce D. Kusuma, S. Pamela K. Shiao - Show less +3 more 31 Jul 2022-Nutrients 1 Citations	Yes, the study confirms using AI analytics to enhance accuracy in dietary apps for assessing essential nutrients among various social-ethnic diets, improving precision nutrition in the e-Health era.
Open access•Journal Article•DOI Deep-Learning-Assisted Multi-Dish Food Recognition Application for Dietary Intake Reporting Ying-Chieh Liu, Djeane Debora Onthoni, Sulagna Mohapatra, Denisa Irianti, Prasan Kumar Sahoo - Show less +4 more 19 May 2022-Electronics 6 Citations	Yes, the paper proposes a Deep-Learning-Assisted Multi-Dish Food Recognition Application to enhance dietary intake reporting accuracy using AI technology in dietary apps.
Open access•Proceedings Article•DOI SmartDiet: An Intelligent Mobile Application to Assist Diet Control using Artificial Intelligence and Computer Vision Wenyan Zhu, Yu Sun - Show less +1 more 22 Dec 2022	Yes, the paper presents "SmartDiet," an intelligent mobile application utilizing Artificial Intelligence and Computer Vision to enhance accuracy in dietary control and nutritional intake tracking.

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