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Advancing food quality measurement in mobile apps with AI technology

Year:
2023
Duration:
12 months
Approved budget:
$30,000.00
Researchers:
Professor Caryn Zinn
,
Professor Grant Schofield
,
Dr Louise Schofield
Host:
Auckland University of Technology
Proposal type:
Health Delivery Research Activation Grant
Lay summary
This work aims to apply the use of artificial intelligence (AI)- powered technology to advance the understanding of diet quality measurement. Our nutrition team has developed a food quality classification system called HISS (Human Interference System Score), which is based on a modified version of the NOVA classification system, and have applied a method to quantify food intake based on food quality. Subsequently, we have been developing an AI-powered mobile phone app using the HISS classification database, which is designed to measure and quantify food quality using digital photographs of food intake. We are currently undergoing a period of beta testing with this system. Our proposed research is to pilot the AI-powered app with several populations in 2024 and assess the food quality and nutrient quantity in these population groups.