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The Applications of Large Language Models in Mental Health: Scoping Review

The Applications of Large Language Models in Mental Health: Scoping Review

Calculations and data charting were performed using R software (version 4.4.2) developed at Bell Laboratories by John Chambers and colleagues, and Py Charm software developed by Jet Brains. The initial search yielded 4859 records, of which 467 duplicates were removed. Of the remaining 4392 records, 4084 records were removed due to the contents irrelevant to mental health or not using LLMs. After the full-text screening, 95 articles fulfilled the inclusion criteria (Figure 1).

Yu Jin, Jiayi Liu, Pan Li, Baosen Wang, Yangxinyu Yan, Huilin Zhang, Chenhao Ni, Jing Wang, Yi Li, Yajun Bu, Yuanyuan Wang

J Med Internet Res 2025;27:e69284

Effectiveness and Mechanisms of a Digital Mindfulness–Based Intervention for Subthreshold to Clinical Insomnia Symptoms in Pregnant Women: Randomized Controlled Trial

Effectiveness and Mechanisms of a Digital Mindfulness–Based Intervention for Subthreshold to Clinical Insomnia Symptoms in Pregnant Women: Randomized Controlled Trial

This study received approval from the Ethics Committee of the Shandong University School of Nursing and Rehabilitation (2020-R-063). All participants provided electronic informed consent. The trial was registered with the Chinese Clinical Trial Registry (Chi CTR2100052269), and the detailed trial protocol is available in Multimedia Appendix 1 [1-4,6-8,11,16-21,23-25,27,30,32-66]. All data from participants were strictly confidential and protected by privacy law.

Juan Wang, Qiuhong Yang, Naixue Cui, Liuliu Wu, Xuan Zhang, Yaoyao Sun, Yongqi Huang, Fenglin Cao

J Med Internet Res 2025;27:e68084

Current Technological Advances in Dysphagia Screening: Systematic Scoping Review

Current Technological Advances in Dysphagia Screening: Systematic Scoping Review

Wang et al [82] suggested that a test sample size of 98 might be necessary for deep learning, as estimated based on statistical heuristics. Data augmentation and other techniques such as undersampling, penalization, and Monte Carlo simulation could be used to address class imbalance problem because of scarcity of patients with dysphagia in the dataset.

Duo Wai-Chi Wong, Jiao Wang, Sophia Ming-Yan Cheung, Derek Ka-Hei Lai, Armstrong Tat-San Chiu, Dai Pu, James Chung-Wai Cheung, Timothy Chi-Yui Kwok

J Med Internet Res 2025;27:e65551

The Longitudinal Effect of Psychological Distress on Internet Addiction Symptoms Among Chinese College Students: Cross-Lagged Panel Network Analysis

The Longitudinal Effect of Psychological Distress on Internet Addiction Symptoms Among Chinese College Students: Cross-Lagged Panel Network Analysis

Missing data were handled using multiple imputations with the mice package in R (R Foundation for Statistical Computing) [33]. Ultimately, 2497 (84.6%) students who completed the questionnaires across all 3 waves were included in the final analysis. At each time point (baseline, T1; 12-month follow-up, T2; 24-month follow-up, T3), self-reported questionnaires covering demographics, psychological distress, and IA were administered during a class break.

Yuxuan Jiang, Chuman Xiao, Xiang Wang, Dongling Yuan, Qian Liu, Yan Han, Jie Fan, Xiongzhao Zhu

J Med Internet Res 2025;27:e70680