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Toward a New Conceptual Framework for Digital Mental Health Technologies: Scoping Review

Toward a New Conceptual Framework for Digital Mental Health Technologies: Scoping Review

Clearer frameworks for categorization could also have benefits within research and evaluation, including health technology assessment (HTA). To conduct systematic reviews and economic evaluations of DMHTs, one must understand whether technologies are similar enough to be compared. This is important to help determine if assumptions of similarity can be met within meta-analysis or to inform subgroup analyses [8].

Gareth Hopkin, Holly Coole, Francesca Edelmann, Lynda Ayiku, Richard Branson, Paul Campbell, Sophie Cooper, Mark Salmon

JMIR Ment Health 2025;12:e63484

Evaluating Large Language Models for Automated Reporting and Data Systems Categorization: Cross-Sectional Study

Evaluating Large Language Models for Automated Reporting and Data Systems Categorization: Cross-Sectional Study

Given the complexity and specificity of the RADS categorization, our investigation emphasizes different prompt impacts to assess chatbot capabilities and potential performance enhancement through refined prompting tuning. In this study, our primary objective was to meticulously evaluate the performance of 3 LLMs (GPT-3.5, GPT-4, and Claude-2) for RADS categorization using different prompt-tuning strategies.

Qingxia Wu, Qingxia Wu, Huali Li, Yan Wang, Yan Bai, Yaping Wu, Xuan Yu, Xiaodong Li, Pei Dong, Jon Xue, Dinggang Shen, Meiyun Wang

JMIR Med Inform 2024;12:e55799

Exploring the Potential of ChatGPT-4 in Predicting Refractive Surgery Categorizations: Comparative Study

Exploring the Potential of ChatGPT-4 in Predicting Refractive Surgery Categorizations: Comparative Study

Its performance will be compared against our own categorization of the patients, performed by the refractive surgeon in charge of their treatment (author AĆ). The actual selection of the parameters to be used for categorization is a deliberate starting point and is motivated by being concise but sufficient for a clinician to decide upon their categorization as offered.

Aleksandar Ćirković, Toam Katz

JMIR Form Res 2023;7:e51798