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Transformer-Based Language Models for Group Randomized Trial Classification in Biomedical Literature: Model Development and Validation

Where mi is the metric value (eg, precision, recall, F1-score) for class, ni is the number of instances in class i, C is the number of classes, and N is the total number of instances in the dataset We chose Bio Med BERT as the initial pretrained model due to its superior performance compared to other existing models on our gold standard data, publications published prior to 2021 that were identified as GRT, IRGT, and SWGRT papers using search queries.

Elaheh Aghaarabi, David Murray

JMIR Med Inform 2025;13:e63267

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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

The same screen as before, just the first one has a checkbox now, so I would assume to continue through until they all get a checkbox. And currently the finish is grayed out, so I assume I still have something to do on the screen before I can move on. Participants also noted that check mark icons in the menu choices helped guide them on what was completed and what still needed to be reviewed.

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

JMIR Hum Factors 2025;12:e67685

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Efficacy of a Self-Guided Internet Intervention With Optional On-Demand Feedback Versus Digital Psychoeducation on Sleep Hygiene for University Students With Insomnia: Randomized Controlled Trial

Due to students’ digital proficiency and their inclination toward autonomous problem-solving, offering CBT-I via the internet (i CBT-I) appears to be a convenient and low-threshold alternative to traditional in-person CBT [31]. Overall, while CBT-I has demonstrated large effects on insomnia severity compared to a waitlist control (SMD=−1.27), both guided (SMD=−0.71) and unguided (SMD=−0.78) i CBT-I yielded medium effects compared to a waitlist-control condition [32].

Anna-Carlotta Zarski, Karina Bernstein, Harald Baumeister, Dirk Lehr, Stella Wernicke, Ann-Marie Küchler, Fanny Kählke, Kai Spiegelhalder, David Daniel Ebert

J Med Internet Res 2025;27:e58024

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The Prevalence and Incidence of Suicidal Thoughts and Behavior in a Smartphone-Delivered Treatment Trial for Body Dysmorphic Disorder: Cohort Study

Answer choices included: 0 (“I do not think of suicide or death”), 1 (“I feel that life is empty or wonder if it’s worth living”), 2 (“I think of suicide or death several times a week for several minutes”), and 3 (“I think of suicide or death several times a day in some detail, or I have made specific plans for suicide or have actually tried to take my life”). An item from the CGI-BDD was used to determine whether participants perceived their past-week BDD symptoms improving or worsening.

Adam C Jaroszewski, Natasha Bailen, Simay I Ipek, Jennifer L Greenberg, Susanne S Hoeppner, Hilary Weingarden, Ivar Snorrason, Sabine Wilhelm

JMIR Ment Health 2025;12:e63605

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Exploring Patient Participation in AI-Supported Health Care: Qualitative Study

For example, PT9.2 expressed about AI, “I think the word is wrong or the phrase. Because do you want something artificial or do you want something real? (...) So the term is challenging.” Using the term AI could have shaped interviewees' answers because of the fears and preconceptions associated with the term, which may not reflect specific health care concerns. However, AI is commonly used in media communication, and all patients have already been exposed to this term.

Laura Arbelaez Ossa, Michael Rost, Nathalie Bont, Giorgia Lorenzini, David Shaw, Bernice Simone Elger

JMIR AI 2025;4:e50781

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Enhancing Cardiopulmonary Resuscitation Quality Using a Smartwatch: Neural Network Approach for Algorithm Development and Validation

Reference 41: New era of CPR: application of I-Technology in resuscitation

Gaurav Rao, David W Savage, Gabrielle Erickson, Nathan Kyryluk, Pawan Lingras, Vijay Mago

JMIR Mhealth Uhealth 2025;13:e57469

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Systematic Identification of Caregivers of Patients Living With Dementia in the Electronic Health Record: Known Contacts and Natural Language Processing Cohort Study

Daniel Martin, Jason Lyons, J David Powers, Andrea E Daddato, Rebecca S Boxer, Elizabeth Bayliss, Jennifer Dickman Portz

J Med Internet Res 2025;27:e63654

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Integrating a Mobile App to Enhance Atrial Fibrillation Care: Key Insights From an Implementation Study Guided by the Consolidated Framework for Implementation Research

I know we are living in a very scummy world, but yeah, I mean if someone wants to know about my heart rate and how many beeps it’s doing a minute, I don’t care. When it comes to bank account details and credit card details, that’s a different story. I’m not concerned about data privacy because you have to register, so it’s not like a public app. I had to register with the clinic.

Sumudu Hewage, Sanjeewa Kularatna, William Parsonage, Tomos Walters, Steven McPhail, David Brain, Michelle J Allen