eCBT-I dialogue system: a comparative evaluation of large language models and adaptation strategies for insomnia treatment

This study effectively integrates the CBT-I knowledge graph with the large language model through the RAG architecture, which improves the professionalism of the eCBT-I intelligent dialogue system. The systematic fine-tuning method selection process and the confirmation of the optimal model not only improve the adaptability of the large language model in the CBT-I task, but also provide a useful paradigm for AI applications in medical subfields with resource constraints and difficulties in data collection, laying a solid foundation for more accurate and efficient digital CBT-I clinical practice in the future.

Authors

Institutions

Publication Details

Journal
Journal of Translational Medicine
Published
2025-08-05
DOI
https://doi.org/10.1186/s12967-025-06871-y
Citations
2
Primary Topic
Sleep and related disorders
Type
article
Field-Weighted Citation Impact
4.24

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

eCBT-I dialogue system: a comparative evaluation of large language models and adaptation strategies for insomnia treatment

Xiqin Wang, Xueying Bao, Qi Dong Zhao, Yutong Wu et al.
2 citations
Journal of Translational Medicine
Sleep and related disorders
4.24
article

eCBT-I dialogue system: a comparative evaluation of large language models and adaptation strategies for insomnia treatment

Xiqin Wang, Xueying Bao, Qi Dong Zhao, Yutong Wu, Yan Zhang, Hao Lou, Wenhui Li, Xian Zhang, Ling Cheng, Yingying Pan, Mei Yang, Yu Xia, Ruoyun Wang, Xingyu Zhu, Yinghui Ling, Dongren Yang, Li Zeng
article en
2 citations

Abstract

This study effectively integrates the CBT-I knowledge graph with the large language model through the RAG architecture, which improves the professionalism of the eCBT-I intelligent dialogue system. The systematic fine-tuning method selection process and the confirmation of the optimal model not only improve the adaptability of the large language model in the CBT-I task, but also provide a useful paradigm for AI applications in medical subfields with resource constraints and difficulties in data collection, laying a solid foundation for more accurate and efficient digital CBT-I clinical practice in the future.

Journal of Translational MedicineVol. 23(1)
University of Science and Technology Liaoning (CN), Xiamen University (CN), Wenzhou Medical University (CN), First Affiliated Hospital of Wenzhou Medical University (CN), Affiliated Eye Hospital of Wenzhou Medical College (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 6%
Sleep and related disorders
4.24
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.