Effectiveness of AI-Assisted Mobile Health Apps for Obesity Reduction and Enhanced Life Quality

Abstract

Obesity has become an epidemic in the world, which has a direct impact on health and economic systems. Artificial Intelligence-assisted mobile Health applications now provide innovative solutions to combat obesity by delivering real-time, personalized, and scalable interventions for weight management and lifestyle improvements. This work examines the effectiveness of AI-driven mHealth apps in addressing obesity, enhancing dietary adherence, and improving quality of life (QoL) based on a six-month experimental study involving 1,000 participants aged 5–65 years. The results showed Body Mass Index reductions as large as 0.6 kg/m² in unhealthy eaters and 0.3 kg/m² in healthy eaters, with increases in dietary adherence of 0.25 and 0.15, respectively. Additionally, QoL scores improved, with unhealthy eaters experiencing an average growth of 2.0 points and healthy eaters 1.2 points. These have emphasized the application's flexibility in addressing different user needs, leading to healthier habits and users' overall well-being.