Highlights The study's methodology limitations—such as its dependence on self‐report data and its lack of information on particular eating disorder diagnoses—highlight the necessity of incorporating clinical assessments and gathering more comprehensive data in future studies. Researchers may be able to create more successful plans to promote the adoption of digital therapies for eating disorders if they have a better understanding of the obstacles to participation and investigate the viewpoints of non‐enrollees. In order to guarantee accurate and pertinent ChatGPT output, future research should concentrate on evaluating the efficacy and long‐term results of chatbot interventions as well as including human user behaviour coding.
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Daungsupawong et al. (2024) studied this question.
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