Eating disorders (EDs) are serious and life-threatening mental health conditions that pose significant challenges in terms of diagnosis, progression, and long-term management. With the advancement of digital technologies in healthcare, artificial intelligence (AI) has emerged as a promising tool to support the assessment and treatment of EDs. This thesis provides a bibliographic review of the current literature on the use of AI in the treatment of EDs. Specifically, it aims to evaluate the effectiveness of AI-based tools for early symptom diagnosis, personalized interventions, and online treatment delivery. Ethical considerations, limitations, and future research directions will also be discussed. This thesis aims to provide a comprehensive overview of how AI can complement traditional therapeutic approaches and provide more effective and accessible treatment for people with EDs.
Eating disorders (EDs) are serious and life-threatening mental health conditions that pose significant challenges in terms of diagnosis, progression, and long-term management. With the advancement of digital technologies in healthcare, artificial intelligence (AI) has emerged as a promising tool to support the assessment and treatment of EDs. This thesis provides a bibliographic review of the current literature on the use of AI in the treatment of EDs. Specifically, it aims to evaluate the effectiveness of AI-based tools for early symptom diagnosis, personalized interventions, and online treatment delivery. Ethical considerations, limitations, and future research directions will also be discussed. This thesis aims to provide a comprehensive overview of how AI can complement traditional therapeutic approaches and provide more effective and accessible treatment for people with EDs.
The Application of Artificial Intelligence in the Treatment of Eating Disorders
OPYSHEVA, AKERKE
2024/2025
Abstract
Eating disorders (EDs) are serious and life-threatening mental health conditions that pose significant challenges in terms of diagnosis, progression, and long-term management. With the advancement of digital technologies in healthcare, artificial intelligence (AI) has emerged as a promising tool to support the assessment and treatment of EDs. This thesis provides a bibliographic review of the current literature on the use of AI in the treatment of EDs. Specifically, it aims to evaluate the effectiveness of AI-based tools for early symptom diagnosis, personalized interventions, and online treatment delivery. Ethical considerations, limitations, and future research directions will also be discussed. This thesis aims to provide a comprehensive overview of how AI can complement traditional therapeutic approaches and provide more effective and accessible treatment for people with EDs.| File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/86714