Research and Application Prospects Analysis of Artificial Intelligence and Machine Learning in Weight Loss

This paper studies the research achievements of artificial intelligence (AI) and machine learning in Weight Loss in the past decade and analyzes the impacts and application prospects of AI and machine learning on Weight Loss. Obesity has become the most significant threat to human health. It is estimated that the global number of obese people will exceed 2.16 billion in 2023. AI and machine learning can analyze a large amount of complex data (including genetic, gene expression, metabolic, gut microbiota, hormonal, dietary, behavioral, and environmental factors, etc.) more efficiently and accurately. They have opened new avenues in areas such as analyzing the causes of obesity, predicting obesity risks, diagnosing obesity and determining its subtypes, providing personalized and precise nutrition plans, and offering psychological support, making it possible to address the weight loss issues of such a large-scale population. This paper systematically analyzes the integration of relevant scientific research achievements with various links in Weight Loss, exploring the direction for the further practical and commercial transformation of scientific research achievements. At the same time, based on the urgent pain points in Weight Loss applications, it analyzes the current research gaps and deficiencies and proposes suggestions for future scientific research directions.