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Peer Review of “The Order in Speech Disorder: A Scoping Review of State of the Art Machine Learning Methods for Clinical Speech Classification (Preprint)”

Vanessa Fairhurst, Sylvester Sakilay, Randa Salah Gomaa Mahmoud, Shailee Rasania, J Moonga, Toba Isaac Olatoye, Rameshwari Prasad, Prasakthi Venkatesan, Vasco Medeiros, Uday Kumar Chalwadi

JMIRx Med 2025;6:e76836

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Population-Wide Depression Incidence Forecasting Comparing Autoregressive Integrated Moving Average and Vector Autoregressive Integrated Moving Average to Temporal Fusion Transformers: Longitudinal Observational Study

Deliang Yang, Yiyi Tang, Vivien Kin Yi Chan, Qiwen Fang, Sandra Sau Man Chan, Hao Luo, Ian Chi Kei Wong, Huang-Tz Ou, Esther Wai Yin Chan, David Makram Bishai, Yingyao Chen, Martin Knapp, Mark Jit, Dawn Craig, Xue Li

J Med Internet Res 2025;27:e67156

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Clinical Value of ChatGPT for Epilepsy Presurgical Decision-Making: Systematic Evaluation of Seizure Semiology Interpretation

Yaxi Luo, Meng Jiao, Neel Fotedar, Jun-En Ding, Ioannis Karakis, Vikram R Rao, Melissa Asmar, Xiaochen Xian, Orwa Aboud, Yuxin Wen, Jack J Lin, Fang-Ming Hung, Hai Sun, Felix Rosenow, Feng Liu

J Med Internet Res 2025;27:e69173

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Types of HPV Vaccine Misinformation Circulating on Twitter (X) That Parents Find Most Concerning: Insights From a Cross-Sectional Survey and Content Analysis

Jennifer C Morgan, Sarah Badlis, Katharine J Head, Gregory Zimet, Joseph N Cappella, Melanie L Kornides

J Med Internet Res 2025;27:e54657

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Addressing the Stigma of Mental Illness in Black Families and Communities in Ontario, Canada: Protocol for a Mixed Methods Study

Joseph Adu, Josephine P H Wong, Priscilla Boakye, Sebastian Gyamfi, Egbe B Etowa, Mark Fordjour Owusu

JMIR Res Protoc 2025;14:e66851

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Machine Learning Clinical Decision Support for Interdisciplinary Multimodal Chronic Musculoskeletal Pain Treatment: Prospective Pilot Study of Patient Assessment and Prognostic Profile Validation

Fredrick Zmudzki, Rob J E M Smeets, Jan S Groenewegen, Erik van der Graaff

JMIR Rehabil Assist Technol 2025;12:e65890

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Evaluating the Usability, Acceptability, User Experience, and Design of an Interactive Responsive Platform to Improve Perinatal Nurses’ Stigmatizing Attitudes Toward Substance Use in Pregnancy: Mixed Methods Study

They also mentioned that the modal window containing a blue button with a check mark helped them to know that the course had concluded and that they could download a certificate of completion. Overall, the buttons served as visual cues for the participants, and the colors made them easy to understand. Participants observed the strengths of how the text was formatted and sized, the arrangement of content, the use of animated characters, and photography.

Michael Rubyan, Yana Gouseinov, Mikayla Morgan, Deborah Rubyan, Divya Jahagirdar, David Choberka, Carol J Boyd, Clayton Shuman