Abstract
In a digital world, people increasingly rely on the internet for food-related and nutrition-related information.1 However, a recent report2 showed that almost one-half of online, nutrition-related information was inaccurate (48.9%) or was of low quality (48.8%). The ability of artificial intelligence (AI) chatbots to streamline navigation of public information and provide onversational texts to users has transformed electronic health. Although studies have evaluated the performance of AI chatbots in providing medicine-related information,3 it remains unclear how well they can handle nutrition-related questions. This study investigated the reliability of AI in providing the energy and macronutrient content of 222 food items using different languages (English and Traditional Chinese) as inputs.
Original language | English |
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Pages (from-to) | E2350367 |
Journal | JAMA network open |
Volume | 6 |
Issue number | 12 |
DOIs | |
Publication status | Published - Dec 27 2023 |
ASJC Scopus subject areas
- General Medicine