The impact of artificial intelligence chatbot guidance on obesity management : a review article
Patikiri Koralalage, Ravindi Peshala Koralage (2026)
2026
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-202604176828
https://urn.fi/URN:NBN:fi:amk-202604176828
Tiivistelmä
Obesity is increasing worldwide, and people with limited time and resources face challenges in managing obesity through traditional one on one session. This has led to increased use of online resources for obesity management. The artificial intelligence (AI) chatbots are now one of the main resources for obtaining healthcare advice online among the general population. This bachelor’s thesis aimed to explore the accuracy, quality, relevance and effectiveness of diet and exercise guidance provided by artificial intelligence (AI) chatbots for obesity management using a descriptive literature review design. Eight peer reviewed articles published between 2023 and 2025 were included in this study.
The results were organised under the five different aspects, which were accuracy of dietary recommendations, accuracy of exercise recommendations, User adherence and relevance, effectiveness, quality of response, and user perceptions.
In conclusion, AI chatbots have the potential to develop as a supporting tool for Obesity management in the future. However, limitations exist in the accuracy, completeness, and customisation of guidance. Challenges for guidance identified include low reproducibility, prompt dependency and lack of individualisation. Overall, in its current state, it should not be considered safe for public use without healthcare professionals' supervision.
The results were organised under the five different aspects, which were accuracy of dietary recommendations, accuracy of exercise recommendations, User adherence and relevance, effectiveness, quality of response, and user perceptions.
In conclusion, AI chatbots have the potential to develop as a supporting tool for Obesity management in the future. However, limitations exist in the accuracy, completeness, and customisation of guidance. Challenges for guidance identified include low reproducibility, prompt dependency and lack of individualisation. Overall, in its current state, it should not be considered safe for public use without healthcare professionals' supervision.