The Role of Artificial Intelligence in Obesity Medicine

• Wook Kim, Dong ^[4] ; Park, Cheol-Young ^[1] ; Shin, Jeong-Hun ^[2] ; Jenny Lee, Hyunjoo ^[3]
  1. [1] Sungkyunkwan University

     Sungkyunkwan University

     Corea del Sur

     
  2. [2] Hanyang University

     Hanyang University

     Corea del Sur

     
  3. [3] Korea Advanced Institute of Science and Technology

     Korea Advanced Institute of Science and Technology

     Corea del Sur

     
  4. [4] Division 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

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• Localización: Endocrinology and metabolism clinics of North America, ISSN 0889-8529, Vol. 54, Nº. 1, 2025, págs. 207-215
• Idioma: inglés
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• Resumen

  • The integration of AI into obesity medicine represents a promising advancement in addressing the complex and multifaceted challenges of obesity. The capability of AI to analyze vast amounts of data, identify intricate patterns, and develop personalized treatment strategies enhances the efficacy of obesity management. Machine learning and predictive analytics can pinpoint individuals at high risk, allowing for early interventions, while deep learning algorithms and NLP enable precise analysis of