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AI-Driven Integrated System for Burn Depth Prediction With Electronic Medical Records: Algorithm Development and Validation

AI-Driven Integrated System for Burn Depth Prediction With Electronic Medical Records: Algorithm Development and Validation

To assess the statistical significance of the observed accuracy, a permutation test with 10,000 permutations was conducted, where a low P value indicates a low probability that the observed accuracy could have been achieved by random chance. The study protocol and experimental design were reviewed and approved by the IRB (IRB# 12689) at Indiana University.

Md Masudur Rahman, Mohamed El Masry, Surya C Gnyawali, Yexiang Xue, Gayle Gordillo, Juan P Wachs

JMIR Med Inform 2025;13:e68366

Comparison of Sleep Features Across Smartphone Sensors, Actigraphy, and Diaries Among Young Adults: Longitudinal Observational Study

Comparison of Sleep Features Across Smartphone Sensors, Actigraphy, and Diaries Among Young Adults: Longitudinal Observational Study

Although the mean of EARS and diary measurements correlated with the difference between EARS and diary measurements for bedtime and time-in-bed (P ≤.01), indicating a presence of proportional bias, there was no correlation present for risetime (P=.80). In addition, the average of EARS and Acti Graph measurements did not correlate with the difference between EARS and Acti Graph measurements for any of the sleep features (P ≥.20). Bland-Altman plots.

Jaclyn S Kirshenbaum, Ryann N Crowley, Melissa D Latham, David Pagliaccio, Randy P Auerbach, Nicholas B Allen

JMIR Form Res 2025;9:e67455

Exploring the Utility of Digital Voice Assistants for Primary Care Patients, Including Those With Physical and Visual Disabilities: Cross-Sectional Study

Exploring the Utility of Digital Voice Assistants for Primary Care Patients, Including Those With Physical and Visual Disabilities: Cross-Sectional Study

A greater proportion of participants with visual disabilities reported having never used DVA (39.0%, 30/77) than those without visual disabilities (24.6%, 33/134; P=.03). Most participants with visual disabilities who had used a DVA did so on their personal cell phone (53.2%, 41/77) but this was significantly less than the proportion of those without visual disabilities who use DVAs on cell phones (68.7%, 92/134) (P=.03).

Maya Rajan, Allison Furgal, Reema Kadri, Omar Arman, Kate Panzer, Donna Wicker, Michael M McKee, Melissa Plegue, Alexandria Degner, Lorraine R Buis

JMIR Mhealth Uhealth 2025;13:e66185

Assessment of Two Online Interventions for Veterans With Chronic Pain: Protocol for a Randomized Controlled Efficacy Trial

Assessment of Two Online Interventions for Veterans With Chronic Pain: Protocol for a Randomized Controlled Efficacy Trial

A 95% CI excluding zero will be interpreted to be statistically significant at a P Additional data will be provided by the Client Satisfaction Questionnaire-8 and semistructured qualitative interviews with VACT-CP users (n=30) as well as by tracking website use information and calls or emails to research staff with concerns. Analysis of the postintervention interviews will be done using notes taken by one of the team members during the exit interview; interviews will also be audio recorded and transcribed.

Erin D Reilly, Hannah L Grigorian, Alicia A Heapy, Bella Etingen, Megan M Kelly, Noah R Wolkowicz, Caitlin M Girouard, Timothy P Hogan, Katarina Bernice, Timothy Bickmore

JMIR Res Protoc 2025;14:e70601

Evaluating the Accuracy of Web-Based and In-Clinic Subjective Cognitive Decline Assessments in Detecting Cognitive Impairment: Multicohort Study

Evaluating the Accuracy of Web-Based and In-Clinic Subjective Cognitive Decline Assessments in Detecting Cognitive Impairment: Multicohort Study

Statistical significance was set at P A total of 1801 participants were included in this study (n=428 in BHR; n=1373 in ADNI). Table 1 presents the demographic and clinical information of participants, including comparisons across diagnostic groups and between the BHR and ADNI cohorts.

Jae Myeong Kang, Manchumad Manjavong, Adam Diaz, Miriam T Ashford, Anna Aaronson, Joseph Eichenbaum, Scott Mackin, Rachana Tank, Melanie J Miller, Bernard Landavazo, Erika Cavallone, Diana Truran, Monica R Camacho, Juliet Fockler, Derek Flenniken, Sarah Tomaszewski Farias, Michael W Weiner, Rachel Nosheny

J Med Internet Res 2025;27:e69689

Effectiveness and Cost-Effectiveness of Using a Social Robot in Residential Care for Individuals With Challenges in Daily Structure and Planning: Protocol for a Multiple-Baseline Single Case Trial and Health Economic Evaluation

Effectiveness and Cost-Effectiveness of Using a Social Robot in Residential Care for Individuals With Challenges in Daily Structure and Planning: Protocol for a Multiple-Baseline Single Case Trial and Health Economic Evaluation

With 24 participants, a significant intervention effect (P Primary outcome data will be analyzed using a multilevel model (R, version 4.0+; package lme4) to investigate whether there is a significant difference between the level of professional care support moments (frequency or duration) per week in the baseline phase and the effect phase. The dependent continuous variable is the frequency and duration of professional care support moments per week.

Kirstin N van Dam, Marieke F M Gielissen, Nienke M Siebelink, Ghislaine A P G van Mastrigt, Wouter den Hollander, Brigitte Boon

JMIR Res Protoc 2025;14:e67841