JMIR Rehabilitation and Assistive Technologies

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Centering Youth Voice in the Adaptation of an mHealth Intervention for Young Adults With HIV in South Texas, United States: Human-Centered Design Approach

Nhat Minh Ho, Catherine Johnson, Autumn Chidester, Ruby Viera Corral, Jacundo Ramos, Miguel Garcia, Rishi Gonuguntla, Cyrena Cote, Divya Chandramohan, Hueylie Lin, Anna Taranova, Ank E Nijhawan, Susan Kools, Karen Ingersoll, Rebecca Dillingham, Barbara S Taylor

JMIR Form Res 2025;9:e60531

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Examining Weight Suppression, Leptin Levels, Glucagon-Like Peptide 1 Response, and Reward-Related Constructs in Severity and Maintenance of Bulimic Syndromes: Protocol and Sample Characteristics for a Cross-Sectional and Longitudinal Study

Aim 1 was to test concurrent associations among WS, physiological factors (leptin concentrations and postprandial GLP-1 response), behavioral indicators of RV-E (breakpoint on PR tasks) and reward satiation (ad-lib test meal intake), self-report of these core constructs, and binge-eating severity in BN-S. Aim 2 was to test prospective associations to determine whether WS predicts BN-S maintenance in longitudinal models and whether posited mediators also predict BN-S maintenance.

Pamela K Keel, Lindsay P Bodell, Sarrah I Ali, Austin Starkey, Jenna Trotta, J Woody Luxama, Chloé Halfhide, Naomi G Hill, Jonathan Appelbaum, Diana L Williams

JMIR Res Protoc 2025;14:e66554

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Using Large Language Models to Automate Data Extraction From Surgical Pathology Reports: Retrospective Cohort Study

Denise Lee, Akhil Vaid, Kartikeya M Menon, Robert Freeman, David S Matteson, Michael L Marin, Girish N Nadkarni

JMIR Form Res 2025;9:e64544

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Evaluation of Large Language Models in Tailoring Educational Content for Cancer Survivors and Their Caregivers: Quality Analysis

GPT-4’s high adherence to word limits and GPT-4 Turbo’s better compliance to reading level compliance proved their ability to meet our requirements when tailoring content. Prompting GPTs to produce bulleted-format content is likely to result in better educational content compared with textual-format content. All models exhibit strong capability in generating highly relevant content. However, they fall short in terms of completeness.

Darren Liu, Xiao Hu, Canhua Xiao, Jinbing Bai, Zahra A Barandouzi, Stephanie Lee, Caitlin Webster, La-Urshalar Brock, Lindsay Lee, Delgersuren Bold, Yufen Lin