Your AI calorie-tracking app may be off by 345 calories
New research from the NIH suggests that AI-powered calorie tracking apps often underestimate nutritional content by about one-third. The study compared app estimates against precisely measured meals from a clinical metabolic kitchen.
Why it matters
Users relying on these apps for health management may be consuming significantly more calories than they realize, potentially impacting weight loss goals.
AI-powered calorie tracking apps can estimate a meal's nutritional content from a single photograph. The technology offers a fast and convenient alternative to manually entering every food and portion, but new research suggests the results may be considerably lower than what is actually on the plate.
In a test of four photo-based apps, researchers found that calorie and fat estimates were about one-third too low on average.
How AI Estimates Calories From Food Photos
Photo-based calorie tracking relies on AI image recognition to identify the foods shown in a picture and estimate the size of each portion. The app then compares those estimates with nutrition databases to calculate calories and other nutrients.
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