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Researchers develop food tracking AI systems to reduce malnutrition in long term care homes

 

A research team has developed a new technology that could help in reducing malnutrition as well as improve overall health in long-term care (LTC) homes by automatically recording and tracking how much food residents consume.

The study has been published in the 'Scientific Reports Journal'.

The smart system, developed by researchers at the University of Waterloo, the Schlegel-UW Research Institute for Aging, and the University Health Network, uses artificial intelligence software to analyse photos of plates of food after residents have eaten.

The sophisticated software, which examines colour, depth, and other photo features, can estimate how much of each kind of food has been consumed and calculate its nutritional value.

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