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Evaluating the Acceptability and Utility of a Personalized Wellness App (Aspire2B) Using AI-Enabled Digital Biomarkers: Engagement Enhancement Pilot Study

Evaluating the Acceptability and Utility of a Personalized Wellness App (Aspire2B) Using AI-Enabled Digital Biomarkers: Engagement Enhancement Pilot Study

Participants had constant access in the app to a face scan that could provide them with a biological age score, heart rate, blood pressure, and stress index. The Deep Affex Anura face scan technology uses transdermal optimal imaging via photoplethysmography to detect facial blood flow patterns. With a conventional video camera and a cloud-based Affective AI engine, it is possible to predict various health metrics from a scan.

Calissa J Leslie-Miller, Shellen R Goltz, Pamela L Barrios, Christopher C Cushing, Teena Badshah, Corey T Ungaro, Shankang Qu, Yulia Berezhnaya, Tristin D Brisbois

JMIR Form Res 2025;9:e63471

Correction: Use and Engagement With Low-Intensity Cognitive Behavioral Therapy Techniques Used Within an App to Support Worry Management: Content Analysis of Log Data

Correction: Use and Engagement With Low-Intensity Cognitive Behavioral Therapy Techniques Used Within an App to Support Worry Management: Content Analysis of Log Data

The authorship was previously published as: Paul Farrand1,2*, Ph D; Patrick J Raue3*, Ph D; Earlise Ward4*, Ph D; Dean Repper5*, MSc; Patricia Areán3*, Ph D The following author, equal contribution tag, ORCID, and associated affiliation have been added in the fifth position of the authorship: Jonathon Baker6*, MA (ORCID 0009 0000 9923 5042) Iona Mind Inc, Romford, United Kingdom The Authors' Contributions was revised from: PF, PA, and PJR conceptualized and designed the project with EW and DR providing theoretical

Paul Farrand, Patrick J Raue, Earlise Ward, Dean Repper, Jonathan Baker, Patricia Areán

JMIR Mhealth Uhealth 2025;13:e76573

Advancing the Use of Longitudinal Electronic Health Records: Tutorial for Uncovering Real-World Evidence in Chronic Disease Outcomes

Advancing the Use of Longitudinal Electronic Health Records: Tutorial for Uncovering Real-World Evidence in Chronic Disease Outcomes

The existing literature lacks a systematic pipeline for producing high-quality, label-efficient imputations, along with calibrated causal modeling methods that can generate reliable RWE to complement RCT data. To advance the use of RWE as a complement to RCTs, we present a tutorial on a pipeline designed to produce reproducible and generalizable RWE on disease outcomes, specifically for evaluating therapies in chronic diseases, using multiple sclerosis (MS) as a demonstration case.

Feiqing Huang, Jue Hou, Ningxuan Zhou, Kimberly Greco, Chenyu Lin, Sara Morini Sweet, Jun Wen, Lechen Shen, Nicolas Gonzalez, Sinian Zhang, Katherine P Liao, Tianrun Cai, Zongqi Xia, Florence T Bourgeois, Tianxi Cai

J Med Internet Res 2025;27:e71873

Prevalence of Multiple Chronic Conditions Among Adults in the All of Us Research Program: Exploratory Analysis

Prevalence of Multiple Chronic Conditions Among Adults in the All of Us Research Program: Exploratory Analysis

Thus, the purpose of this study is to estimate the prevalence of MCC for adult participants in the National Institutes of Health’s All of Us (Ao U) Research Program dataset—a curated disease and population-agnostic, longitudinal biomedical dataset of diverse individuals living in the United States—to gain a deeper understanding of MCC throughout adulthood (ie, early adulthood, middle adulthood, late middle adulthood, late adulthood, and advanced old age).

Xintong Li, Caitlin Dreisbach, Carolina M Gustafson, Komal Patel Murali, Theresa A Koleck

JMIR Form Res 2025;9:e69138

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

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

This is the peer-review report for the preprint “The Order in Speech Disorder: A Scoping Review of State of the Art Machine Learning Methods for Clinical Speech Classification.” This review is the result of a virtual collaborative live review discussion organized and hosted by PREreview and JMIR Publications on April 10, 2025.

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

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

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

In the publicly sourced cohort, the temporal lobe (T) and frontal lobe (F) accounted for the most significant proportions of EZ-semiology cases, followed by the parietal lobe (P) and occipital lobe (O), with the insular cortex (INS) and cingulate cortex (CING) comprising the most diminutive proportions. The privately sourced cohort exhibited a similar distribution, with a minor variation where the frontal lobe slightly surpassed the temporal lobe in the number of semiology-EZ cases.

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

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

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

Parental vaccine hesitancy, “a state of indecisiveness regarding a vaccination decision, independently of behaviour” [18], is associated with significantly lower coverage for HPV vaccination among adolescents [19]. One study, using a national US sample, found that parental hesitancy about HPV vaccination among parents of adolescents 11-17 years of age is prevalent (23%) and has a stronger influence on vaccine uptake than practical barriers such as cost or access [20].

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

J Med Internet Res 2025;27:e54657

Digital Integrated Interventions for Comorbid Depression and Substance Use Disorder: Narrative Review and Content Analysis

Digital Integrated Interventions for Comorbid Depression and Substance Use Disorder: Narrative Review and Content Analysis

(computer, smartphone, internet, and text message) outside of the traditional F2 F therapy setting; and (4) the article was written in English as a peer-reviewed journal article.

Geneva K Jonathan, Qiuzuo Guo, Heyli Arcese, A Eden Evins, Sabine Wilhelm

JMIR Ment Health 2025;12:e67670

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

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

While mental illness stigma is a universal health problem, the stigma connected to a Black person diagnosed with mental health disorders in the Western world could be a threefold or triple-edged sword, as they have racism to deal with besides stigma and discrimination associated with mental illnesses.

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

JMIR Res Protoc 2025;14:e66851

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

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

Based on this rating of the complexity of pain symptoms, the majority (64.7%) were assessed as WPN 3 chronic pain syndrome and 35.3% as WPN 4 (maximal score), consistently showing a clear indication of psychosocial factors underlying chronic pain and disability. Most participants lived with a partner, were employed, and used pain medication.

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

JMIR Rehabil Assist Technol 2025;12:e65890