The role of large language models in personalized obesity management: opportunities and challenges

Abdallah, Qasem M. and Al-Daghistani, Farah and Ahmad Mizher, Hussam Abdeljabar and Abdallah, Mohammad and Abukhalil, Asad A. (2025) The role of large language models in personalized obesity management: opportunities and challenges. In: 2025 12th International Conference on Information Technology, 27-30 May 2025, Jordan.

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Abstract

Abstract—Background: Obesity is a worldwide public health issue that needs to be treated individually, with the use of multidisciplinary therapy. Large Language Models (LLMs), like ChatGPT, provide large-scale AI-supported solutions for nutritional planning, physical activity prescription, and behavioral treatment. Their safety, accuracy, and effectiveness, nonetheless, have to be tested. Objective: This systematic review introduces the potential of LLMs in the treatment of obesity and their advantages, disadvantages, and ethics. Methods: The PubMed, Scopus, and IEEE Xplore databases were searched from 2023 to 2025 for peer-reviewed journal articles on the use of LLMs for weight management following PRISMA standards. Results: The promise of LLMs was discovered to discover individualized diet and exercise regimens, promote user engagement, and provide pharmacotherapeutic management of obesity. But there are issues of AI-generated advice reliability, user input quality dependence, absence of human control, and ethical issues like data privacy and accountability. Conclusion: Though LLMs enhance availability for obesity control, their potential risks need stringent control. Hybrid human-AI offers a solution that can maximize benefits while securing safety and efficacy. Future studies need to enhance transparency in AI, formulate regulatory systems, and promote cultural flexibility for equitable health utilization.

Item Type:	Proceeding Paper (Invited Papers)
Uncontrolled Keywords:	Obesity management, Large Language Models, AI in healthcare, Personalized weight management, Digital health interventions, AI ethics.
Subjects:	R Medicine > RM Therapeutics. Pharmacology
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Pharmacy > Department of Basic Medical Sciences Kulliyyah of Pharmacy > Department of Pharmacy Practice
Depositing User:	Dr Hussam Abdeljabar Mizher
Date Deposited:	07 Jul 2025 16:03
Last Modified:	07 Jul 2025 16:03
URI:	http://irep.iium.edu.my/id/eprint/121947

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