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Online Peer Support for Long-Term Conditions: Protocol for a Feasibility Randomized Controlled Trial

Online Peer Support for Long-Term Conditions: Protocol for a Feasibility Randomized Controlled Trial

The schedule of enrollment, interventions, and assessments for the Common Ground feasibility randomized controlled trial. a NHS: National Health Service. b PHQ-8: Patient Health Questionnaire–8. c WEMWBS: Warwick-Edinburgh Mental Well-Being Scale. d GAD-7: Generalized Anxiety Disorder scale. e SF-36: 36-Item Short Form Health Survey. f SCS-R: Social Connectedness Scale–Revised. g CDSES: Chronic Disease Self-Efficacy Scales. h CSRI: Client Service Receipt Inventory. i PAM-13: Patient Activation Measure. j So VC: sense of

Grace Lavelle, Hannah Grace Jones, Ewan Carr, Elly Aylwin-Foster, Vanessa Lawrence, Alan Simpson, Matthew Hotopf

JMIR Res Protoc 2025;14:e71513

Revisiting the Semantic Severity of Anxiety and Depression: Computational Linguistic Study of Normalization and Pathologization

Revisiting the Semantic Severity of Anxiety and Depression: Computational Linguistic Study of Normalization and Pathologization

First, we trained a Continuous Bag of Words word2vec model on the entire corpus using the word2vec package in R (R Foundation for Statistical Computing) [27]. Next, we created a mental health vector by averaging the vectors of words strongly associated with mental health (eg, therapy, psychiatry, and diagnosis; see Multimedia Appendix 1 for details). This vector was used as a reference point for identifying mental health–related language.

Vojtech Pisl, Ana-Maria Bucur, Ioana R Podina

J Med Internet Res 2025;27:e73950

Facilitators and Barriers to Implementing AI in Routine Medical Imaging: Systematic Review and Qualitative Analysis

Facilitators and Barriers to Implementing AI in Routine Medical Imaging: Systematic Review and Qualitative Analysis

Notably, only the study by Jones et al [80] used an established tool, that is, the Systems Usability Scale. Further details on the surveys described in the studies are provided in Multimedia Appendix 5 [69,71,75,80,83-85,91, 101,102,104]. Drawing upon the qualitative analyses of the included studies, we identified 180 statements from the included publications that described the factors influencing AI implementation in clinical practice.

Katharina Wenderott, Jim Krups, Matthias Weigl, Abigail R Wooldridge

J Med Internet Res 2025;27:e63649