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Linguistic Markers of Pain Communication on X (Formerly Twitter) in US States With High and Low Opioid Mortality: Machine Learning and Semantic Network Analysis

Linguistic Markers of Pain Communication on X (Formerly Twitter) in US States With High and Low Opioid Mortality: Machine Learning and Semantic Network Analysis

Higher CB indicates that concept A will pass through concept B while going to concept C. In other words, it detects information flow in the semantic network. CC measures closeness of concepts by calculating the inverse of the sum of the shortest paths between a concept to all other concepts in the network. In other words, concepts with higher CC are interpreted to be more central than concepts as they have shorter network distance on average compared to other concepts.

ShinYe Kim, Winson Fu Zun Yang, Zishan Jiwani, Emily Hamm, Shreya Singh

J Med Internet Res 2025;27:e67506

Combining Artificial Intelligence and Human Support in Mental Health: Digital Intervention With Comparable Effectiveness to Human-Delivered Care

Combining Artificial Intelligence and Human Support in Mental Health: Digital Intervention With Comparable Effectiveness to Human-Delivered Care

There was a significant effect of session number (b=–10.9, SE 1.7, t891=–6.4, P Engagement metrics for the digital program by sample. Engagement metrics for the digital program by symptom check-in in the app. Adherence with program progression overlaid with adherence across therapy sessions for the control groups.

Clare E Palmer, Emily Marshall, Edward Millgate, Graham Warren, Michael Ewbank, Elisa Cooper, Samantha Lawes, Alastair Smith, Chris Hutchins-Joss, Jessica Young, Malika Bouazzaoui, Morad Margoum, Sandra Healey, Louise Marshall, Shaun Mehew, Ronan Cummins, Valentin Tablan, Ana Catarino, Andrew E Welchman, Andrew D Blackwell

J Med Internet Res 2025;27:e69351

Cocreating the Visualization of Digital Mobility Outcomes: Delphi-Type Process With Patients

Cocreating the Visualization of Digital Mobility Outcomes: Delphi-Type Process With Patients

A: Horizontal stacked bar chart showing number of steps across a week and through each day to indicate fatigue B: Bar chart showing average walking speed across a week both indoors and outdoors to indicate fatigue. C: Line chart showing average walking speed across a week both indoors and outdoors to indicate balance. A summary of the insights gained from participants during round 2. “Easy to understand, maybe brighter colours would make it easier to read.

Jack Lumsdon, Cameron Wilson, Lisa Alcock, Clemens Becker, Francesco Benvenuti, Tecla Bonci, Koen van den Brande, Gavin Brittain, Philip Brown, Ellen Buckley, Marco Caruso, Brian Caulfield, Andrea Cereatti, Laura Delgado-Ortiz, Silvia Del Din, Jordi Evers, Judith Garcia-Aymerich, Heiko Gaßner, Tova Gur Arieh, Clint Hansen, Jeffrey M Hausdorff, Hugo Hiden, Emily Hume, Cameron Kirk, Walter Maetzler, Dimitrios Megaritis, Lynn Rochester, Kirsty Scott, Basil Sharrack, Norman Sutton, Beatrix Vereijken, Ioannis Vogiatzis, Alison Yarnall, Alison Keogh, Alma Cantu

JMIR Form Res 2025;9:e68782

The Impact of Technology-Enabled Medical Nutrition Therapy on Weight Loss in Adults With Overweight and Obesity: Retrospective Observational Study

The Impact of Technology-Enabled Medical Nutrition Therapy on Weight Loss in Adults With Overweight and Obesity: Retrospective Observational Study

Participants who engaged with the program for longer periods of time were more likely to achieve at least 3% (P Percent of participants who achieved at least 3% and 5% weight loss according to (A) follow-up time and (B) number of appointments.

Emily A Hu, Tommy Kelley, Ajay Haryani

JMIR Mhealth Uhealth 2025;13:e70228