Application Progress of Generative Artificial Intelligence in Weight Management

Weight management serves as a critical component in the prevention and control of chronic diseases. In 2024, the National Health Commission of China launched a three-year "Weight Management Year" action plan (2025-2027), aiming to enhance public awareness of weight management and promote scientific control methods. Weight management not only focuses on body weight values but also emphasizes comprehensive interventions in diet, physical activity, and lifestyle to prevent chronic diseases and improve quality of life. Generative artificial intelligence demonstrates significant potential in the field of weight management by providing users with personalized dietary advice, exercise plans, and behavioral interventions, thereby improving management outcomes and adherence. This article systematically explores the application pathways and effectiveness of generative artificial intelligence in weight management, highlighting its advantages in achieving dynamic personalization of dietary plans and increasing physical activity levels, while also addressing multiple challenges such as content authenticity, data privacy, algorithmic biases, and long-term adherence. This study provides valuable insights for the optimization of weight management models in China and the further application of generative artificial intelligence in the health domain.