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人工智能辅助伞形综述:进食障碍元分析(2020-2025):治疗疗效、共病及样本多样性持续差距的映射

An Artificial Intelligence-Assisted Umbrella Review of Eating Disorder Meta-Analyses (2020–2025): Mapping Treatment Efficacy, Comorbidity, and Persistent Gaps in Sample Diversity
E. Caitlin Lloyd、Pablo del Sol Calderón、Cate Morales · Nutrients · 2026-11-03

研究信息

期刊 / 来源
Nutrients
发表日期
2026-11-03
文献库
OpenAlex
作者
E. Caitlin Lloyd, Pablo del Sol Calderón, Cate Morales
DOI
10.3390/nu18213650
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英文原文摘要全文

Background/Objectives: Eating disorders (EDs) are serious psychiatric illnesses that result in physical and mental-health impairments. A unifying summary of the broad collection of ED research findings is lacking. This umbrella review leveraged artificial intelligence (AI) to summarize ED-focused meta-analyses, to identify directions for future research and treatment. Methods: PubMed, PsycINFO, Web of Science, Embase, and ProQuest were searched for meta-analyses of human ED research published between 1 June 2020 and 31 May 2025 (inclusive). A large language model (LLM) conducted risk of bias a

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