The Role of Artificial Intelligence in Obesity Medicine.

Journal: Endocrinology and metabolism clinics of North America
PMID: 39919876

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.

Authors

  • Dong Wook Kim
    3 Department of Orthopedic Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • Cheol-Young Park
    Division of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
  • Jeong-Hun Shin
    Department of Internal Medicine, Hanyang University College of Medicine, Seoul, Republic of Korea.
  • Hyunjoo Jenny Lee
    School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.

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