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Digital Biomarkers for Parkinson Disease: Bibliometric Analysis and a Scoping Review of Deep Learning for Freezing of Gait

Digital Biomarkers for Parkinson Disease: Bibliometric Analysis and a Scoping Review of Deep Learning for Freezing of Gait

The Joinpoint software is used to systematically evaluate time trends and test the statistical significance of trends between junction points. The software determines the number of inflection points in the model based on the recommended procedures. To facilitate the display of trend direction and magnitude, this study calculated the changes in trend slopes [44]. Cite Space is primarily used for keyword burst analysis to identify recent emerging trends.

Wenhao Qi, Shiying Shen, Chaoqun dong, Mengjiao Zhao, Shuaiqi Zang, Xiaohong Zhu, Jiaqi Li, Bin Wang, Yankai Shi, Yongze Dong, Huajuan Shen, Junling Kang, Xiaodong Lu, Guowei Jiang, Jingsong Du, Eryi Shu, Qingbo Zhou, Jinghua Wang, Shihua Cao

J Med Internet Res 2025;27:e71560

Mobile- and Web-Based Interventions for Promoting Healthy Diets, Preventing Obesity, and Improving Health Behaviors in Children and Adolescents: Systematic Review of Randomized Controlled Trials

Mobile- and Web-Based Interventions for Promoting Healthy Diets, Preventing Obesity, and Improving Health Behaviors in Children and Adolescents: Systematic Review of Randomized Controlled Trials

A lack of a well-balanced diet combined with little or no physical activity may contribute to the development of noncommunicable diseases such as cancer, diabetes, and cardiovascular disease [8,9]. Childhood obesity can also have severe psychological effects, as studies have shown that childhood obesity affects self-esteem and is associated with depression, lower quality-of-life outcomes, and emotional and behavioral difficulties [10].

Clara Talens, Noelia da Quinta, Folasade A Adebayo, Maijaliisa Erkkola, Maria Heikkilä, Kamilla Bargiel-Matusiewicz, Natalia Ziółkowska, Patricia Rioja, Agnieszka E Łyś, Elena Santa Cruz, Jelena Meinilä

J Med Internet Res 2025;27:e60602

Converging Representations of Attention-Deficit/Hyperactivity Disorder and Autism on Social Media: Linguistic and Topic Analysis of Trends in Reddit Data

Converging Representations of Attention-Deficit/Hyperactivity Disorder and Autism on Social Media: Linguistic and Topic Analysis of Trends in Reddit Data

Before 2020, topics relating to understanding autism (topic 2), distinguishing autistic experiences (topic 4), research and surveys (topic 6), app development for autism (topic 7), stimming and sensory tools (topic 8), cannabidiol oil for autism (topic 9), and resource sharing (topic 10) were observed.

Jemima Kang, Nick Haslam, Mike Conway

J Med Internet Res 2025;27:e70914

Early Prediction of Mortality Risk in Acute Respiratory Distress Syndrome: Systematic Review and Meta-Analysis

Early Prediction of Mortality Risk in Acute Respiratory Distress Syndrome: Systematic Review and Meta-Analysis

In light of these advancements, researchers have turned their attention to the development of ML-based predictive models specifically aimed at forecasting mortality in patients with ARDS [13]. However, despite these efforts, systematic evidence robustly supporting the predictive performance of these models is still lacking, poising a considerable challenge to the creation of simplified clinical tools that could be widely adopted in practice [14].

Ruimin Tan, Chen Ge, Zhe Li, Yating Yan, He Guo, Wenjing Song, Qiong Zhu, Quansheng Du

J Med Internet Res 2025;27:e70537

A Robust Cross-Platform Solution With the Sense2Quit System to Enhance Smoking Gesture Recognition: Model Development and Validation Study

A Robust Cross-Platform Solution With the Sense2Quit System to Enhance Smoking Gesture Recognition: Model Development and Validation Study

Our Sense2 Quit study addresses critical gaps in current smoking cessation apps by following a rigorous, theoretically guided development framework and closely collaborating with health care professionals. This study aims to develop m Health (mobile health) technology to support tobacco cessation in people with HIV. The mobile app supports people with HIV quitting smoking by using smartwatches for behavioral assessment and delivering just-in-time interventions.

Anarghya Das, Juntao Feng, Maeve Brin, Patricia Cioe, Rebecca Schnall, Ming-Chun Huang, Wenyao Xu

J Med Internet Res 2025;27:e67186

Users' Perceptions and Trust in AI in Direct-to-Consumer mHealth: Qualitative Interview Study

Users' Perceptions and Trust in AI in Direct-to-Consumer mHealth: Qualitative Interview Study

While AI-m Health apps offer potential for improving proactive health management and monitoring, the rapid pace of AI innovation has outpaced research efforts aiming to facilitate the ethical development and adoption of AI-based apps and maximize their benefits. Recent normative work has articulated concerns related to privacy, informed consent, and bias, among others [3-5].

Katie Ryan, Justin Hogg, Max Kasun, Jane Paik Kim

JMIR Mhealth Uhealth 2025;13:e64715

Evaluating the Accuracy and Reliability of Real-World Digital Mobility Outcomes in Older Adults After Hip Fracture: Cross-Sectional Observational Study

Evaluating the Accuracy and Reliability of Real-World Digital Mobility Outcomes in Older Adults After Hip Fracture: Cross-Sectional Observational Study

Furthermore, promising alternative approaches for gait monitoring in patients after hip fracture include instrumented walking aids [55] and even the prostheses themselves [56], a recent area of innovative development. Recent comprehensive validation studies represent a significant step toward advancing real-world gait monitoring in multiple cohorts by providing robust reliability and accuracy data for DMOs [26,27].

Martin A Berge, Anisoara Paraschiv-Ionescu, Cameron Kirk, Arne Küderle, Encarna Micó-Amigo, Clemens Becker, Andrea Cereatti, Silvia Del Din, Monika Engdal, Judith Garcia-Aymerich, Karoline B Grønvik, Clint Hansen, Jeffrey M Hausdorff, Jorunn L Helbostad, Carl-Philipp Jansen, Lars Gunnar Johnsen, Jochen Klenk, Sarah Koch, Walter Maetzler, Dimitrios Megaritis, Arne Müller, Lynn Rochester, Lars Schwickert, Kristin Taraldsen, Beatrix Vereijken

JMIR Form Res 2025;9:e67792

The Communities Organizing for Power Through Empathy (COPE) Community-Based Intervention to Improve Adult Mental Health During Disasters and Crises: Protocol for a Stepped-Wedge Cluster Randomized Trial

The Communities Organizing for Power Through Empathy (COPE) Community-Based Intervention to Improve Adult Mental Health During Disasters and Crises: Protocol for a Stepped-Wedge Cluster Randomized Trial

The development of the COPE intervention and this study were motivated by our awareness that many of the factors associated with increased risk of experiencing adverse psychological outcomes after a disaster, such as prior trauma [37], limited income [27], and low levels of social and community support [38], are omnipresent in our community and the Gulf South.

Jennifer Scott, Tara Powell, Natasha M Lee-Johnson

JMIR Res Protoc 2025;14:e63723

Smart Home Advancements for Health Care and Beyond: Systematic Review of Two Decades of User-Centric Innovation

Smart Home Advancements for Health Care and Beyond: Systematic Review of Two Decades of User-Centric Innovation

In the early stages of smart home development, the primary focus revolved around integrating products and services through communication technology. The goal was efficiency, with this integration aimed at simplifying user control and management, ultimately saving time. While there was some discussion regarding the necessity for services to align with user needs, the predominant focus of research and development centered on early adopters exploring products or services with new technologies.

Youna Park, Jieun Han

J Med Internet Res 2025;27:e62793

To Implement or Not to Implement? A Commentary on the Pitfalls of Judging the Value and Risks of Personalized Prognostic Statistical Models

To Implement or Not to Implement? A Commentary on the Pitfalls of Judging the Value and Risks of Personalized Prognostic Statistical Models

Finally, it should be noted that it is important to consider context-related factors prior to a tool’s development and implementation. If the outcome of the Excel calculation is small or negative, an easy way to reduce the harm and, particularly, the nocebo effect of a model would be to offer it only to patients who initially refuse to participate in the first-line treatment.

Linda Baumbach, Walter Hötzendorfer, Jan Baumbach

J Med Internet Res 2025;27:e69341