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The Role of Artificial Intelligence in Obesity Medicine
Dong Wook Kim1, Cheol-Young Park2, Jeong-Hun Shin3
1Division of Endocrinology, Diabetes and Hypertension, Center for Weight Management and Wellness, Brigham and Women's Hospital, 221 Longwood Avenue, RFB 490, Boston, MA 02115, USA.
Abstract:
The rising prevalence of obesity presents significant health, economic, and social challenges, necessitating a comprehensive approach to prevention, diagnosis, treatment, and long-term management. This review highlights the transformative role of artificial intelligence in obesity medicine, showcasing how technologies such as machine learning, deep learning, natural language processing, and large language models improve obesity management. The capacity of artificial intelligence to analyze extensive datasets enables predictive analytics, personalized treatment plans, and real-time behavioral interventions. Despite its potential, integrating artificial intelligence in obesity medicine faces challenges and ethical considerations, such as data privacy, algorithmic bias, artificial intelligence hallucination, transparency, and implementation barriers.
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