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Cardiac Self-Efficacy Improvement in a Digital Heart Health Program: Secondary Analysis From a Feasibility and Acceptability Pilot Study

Cardiac Self-Efficacy Improvement in a Digital Heart Health Program: Secondary Analysis From a Feasibility and Acceptability Pilot Study

To address the primary study objective, the second set of analyses tested whether there was a statistically significant change in CSE from baseline to month 2, using paired t tests (P Figure 1 shows the flow of participants through this study. Flowchart of participants showing enrollment and inclusion in the analytic sample. CSE: cardiac self-efficacy.

Kimberly G Lockwood, Priya R Kulkarni, OraLee H Branch, Sarah A Graham

JMIR Form Res 2025;9:e60676

The Diagnostic Performance of Large Language Models and Oral Medicine Consultants for Identifying Oral Lesions in Text-Based Clinical Scenarios: Prospective Comparative Study

The Diagnostic Performance of Large Language Models and Oral Medicine Consultants for Identifying Oral Lesions in Text-Based Clinical Scenarios: Prospective Comparative Study

There was no significant difference in the accuracy between the two models (P=.32). In comparison to these AI models, oral medicine consultant 1 correctly diagnosed 60% (30/50), partially diagnosed 34% (17/50), and incorrectly diagnosed 6% (3/50) of the cases (P=.32 vs Chat GPT and P≥.99 vs Copilot). Oral medicine consultant 2 correctly diagnosed 72% (36/50) of the cases, partially diagnosed 22% (11/50) of the cases, and incorrectly diagnosed 6% (3/50) of the cases (P=.75 vs Chat GPT and P=.41 vs Copilot).

Sarah AlFarabi Ali, Hebah AlDehlawi, Ahoud Jazzar, Heba Ashi, Nihal Esam Abuzinadah, Mohammad AlOtaibi, Abdulrahman Algarni, Hazzaa Alqahtani, Sara Akeel, Soulafa Almazrooa

JMIR AI 2025;4:e70566

Assessment of an App-Based Sleep Program to Improve Sleep Outcomes in a Clinical Insomnia Population: Randomized Controlled Trial

Assessment of an App-Based Sleep Program to Improve Sleep Outcomes in a Clinical Insomnia Population: Randomized Controlled Trial

By contrast, treatment response did not significantly change in the control group (P=.27; 3/66, 5%, at postintervention and 1/66, 2%, at follow-up; Multimedia Appendix 6). Sleep diary results suggest that the Headspace Sleep Program group significantly increased SE from pre- to postintervention (P=.002) and from preintervention to follow-up (P=.01), but not from postintervention to follow-up (P=.69; Table 3). A significant group × time interaction was identified (P=.01, η²p=0.05).

Walter Staiano, Christine Callahan, Michelle Davis, Leah Tanner, Chelsea Coe, Sarah Kunkle, Ulrich Kirk

JMIR Mhealth Uhealth 2025;13:e68665

Consumer-Grade Neurofeedback With Mindfulness Meditation: Meta-Analysis

Consumer-Grade Neurofeedback With Mindfulness Meditation: Meta-Analysis

We conducted 2 different approaches, trim-and-fill, which corrects for publication bias in small samples, and 3-parameter selection models which explicitly model the proportion of studies below a p-threshold. We considered applying p-curve approaches, but they require at least 3 significant findings which was not the case for multiple models. A PRISMA flow diagram is shown in Figure 2 (PRISMA checklist provided in Multimedia Appendix 2).

Isaac Treves, Zia Bajwa, Keara D Greene, Paul A Bloom, Nayoung Kim, Emma Wool, Simon B Goldberg, Susan Whitfield-Gabrieli, Randy P Auerbach

J Med Internet Res 2025;27:e68204