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Temporal Dynamics of Subtle Cognitive Change: Validation of a User-Friendly Multidomain Digital Assessment Using an Alcohol Challenge

Temporal Dynamics of Subtle Cognitive Change: Validation of a User-Friendly Multidomain Digital Assessment Using an Alcohol Challenge

Setting power at 0.8 and α at P=.05, the calculated sample size was N=32. Peterson et al [30] reported an effect size of d=0.3 on a delayed paired association task after alcohol consumption. With power set at 0.8 and α at P=.05, the calculated sample size was N=22. Participants were screened as part of the online recruitment process.

John Frederick Dyer, Florentine Marie Barbey, Ayan Ghoshal, Ann Marie Hake, Bryan J Hansen, Md Nurul Islam, Judith Jaeger, Rouba Kozak, Hugh Marston, Mark Moss, Viet Nguyen, Rebecca Louise Quinn, Leslie A Shinobu, Elizabeth Tunbridge, Brian Murphy, Niamh Kennedy

J Med Internet Res 2025;27:e55469

Recommendations for Successful Development and Implementation of Digital Health Technology Tools

Recommendations for Successful Development and Implementation of Digital Health Technology Tools

Each numbered step corresponds to a specific recommendation and is accompanied by letter codes indicating the stakeholders directly involved in the project—P: patients and advocacy groups; H: health care providers; R: researchers; D: developers and engineers; M: project managers; B: regulatory bodies and policymakers. The workflow progresses from left to right, with arrows indicating the primary flow between phases.

Rebecca Ting Jiin Loo, Francesco Nasta, Mirco Macchi, Anaïs Baudot, Frada Burstein, Riley Bove, Maike Greve, Holger Fröhlich, Sara Khalid, Arne Küderle, Susan L Moore, Valerie Storms, John Torous, Enrico Glaab

J Med Internet Res 2025;27:e56747

mindLAMPVis as a Co-Designed Clinician-Facing Data Visualization Portal to Integrate Clinical Observations From Digital Phenotyping in Schizophrenia: User-Centered Design Process and Pilot Implementation

mindLAMPVis as a Co-Designed Clinician-Facing Data Visualization Portal to Integrate Clinical Observations From Digital Phenotyping in Schizophrenia: User-Centered Design Process and Pilot Implementation

In our proposed visualization tool, mind LAMPVis, we support the following visualizations (V) of active (A) and passive (P) data: MCA trend (V1 A) of survey data (Figure S1 in Multimedia Appendix 1), MCA eigengap (V2 A) of survey data (Figure S2 in Multimedia Appendix 1), Date-clustering (V3 A) of survey data (Figure 1), Home time (V1 P) of significant locations data (Figure 2), Significant location (V2 P) of significant locations data (Figure 2).

Karthik Sama, Jaya Sreevalsan-Nair, Soumya Choudhary, Srilakshmi Nagendra, Preethi V Reddy, Asher Cohen, Urvakhsh Meherwan Mehta, John Torous

JMIR Form Res 2025;9:e70073

Effectiveness of Robot-Assisted Upper Extremity Function Training (Gloreha) on Upper Extremities Function After Stroke: Systematic Review

Effectiveness of Robot-Assisted Upper Extremity Function Training (Gloreha) on Upper Extremities Function After Stroke: Systematic Review

One reported a significant difference between Gloreha training and conventional rehabilitation (P=.002) [28], while 1 trial reported a large effect size of Gloreha training (Cohen d=3.65) [29]. Lee et al [27] investigated the effect of Gloreha training on the upper extremity motor function through the Fugl-Mayer Assessment for upper extremity.

Chirathip Thawisuk, Sopida Apichai, Waranya Chingchit, Jananya P Dhippayom, Teerapon Dhippayom

JMIR Rehabil Assist Technol 2025;12:e68268

Gender Differences in X (Formerly Twitter) Use, Influence, and Engagement Among Cardiologists From the Top U.S. News Best Hospitals

Gender Differences in X (Formerly Twitter) Use, Influence, and Engagement Among Cardiologists From the Top U.S. News Best Hospitals

Compared to nonusers, X users had a higher proportion of women (240/753, 31.87% vs 269/1269, 21.20%), higher academic faculty appointments, and a greater number of advanced degrees (all P Characteristics and demographics of top hospital cardiologists on X, stratified by gender. a Not on X versus on X.

Minji Seok, Sungjin Kim, Harper Tzou, Olivia Peony, Mitchell Kamrava, Andriana P Nikolova, Katelyn M Atkins

JMIR Cardio 2025;9:e66308