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Expression of Concern: Evaluating the Clinical Efficacy of an Exergame-Based Training Program for Enhancing Physical and Cognitive Functions in Older Adults With Mild Cognitive Impairment and Dementia Residing in Rural Long-Term Care Facilities: Randomized Controlled Trial

Expression of Concern: Evaluating the Clinical Efficacy of an Exergame-Based Training Program for Enhancing Physical and Cognitive Functions in Older Adults With Mild Cognitive Impairment and Dementia Residing in Rural Long-Term Care Facilities: Randomized Controlled Trial

The publisher expresses concern regarding the following article: Evaluating the Clinical Efficacy of an Exergame-Based Training Program for Enhancing Physical and Cognitive Functions in Older Adults With Mild Cognitive Impairment and Dementia Residing in Rural Long-Term Care Facilities: Randomized Controlled Trial [1]. This article is under investigation for potential peer review irregularities. Readers are advised to interpret the findings with caution pending the outcome of this inquiry.

JMIR Editorial Office

J Med Internet Res 2025;27:e75355

Expression of Concern: A Dynamic Adaptive Ensemble Learning Framework for Noninvasive Mild Cognitive Impairment Detection: Development and Validation Study

Expression of Concern: A Dynamic Adaptive Ensemble Learning Framework for Noninvasive Mild Cognitive Impairment Detection: Development and Validation Study

The publisher expresses concern regarding the following article: A Dynamic Adaptive Ensemble Learning Framework for Noninvasive Mild Cognitive Impairment Detection: Development and Validation Study [1]. This article is under investigation for potential peer review irregularities. Readers are advised to interpret the findings with caution pending the outcome of this inquiry.

JMIR Editorial Office

JMIR Med Inform 2025;13:e75352

Large Language Models for Thematic Summarization in Qualitative Health Care Research: Comparative Analysis of Model and Human Performance

Large Language Models for Thematic Summarization in Qualitative Health Care Research: Comparative Analysis of Model and Human Performance

However, it was less successful at identifying subtle, interpretive themes, and more successful with concrete, descriptive themes. LLMs may miss themes that require a deep understanding of context or specific domain knowledge. For example, themes related to niche cultural practices or specific professional areas may not be accurately identified by AI without targeted training.

Arturo Castellanos, Haoqiang Jiang, Paulo Gomes, Debra Vander Meer, Alfred Castillo

JMIR AI 2025;4:e64447

Health Care Professionals' Engagement With Digital Mental Health Interventions in the United Kingdom and China: Mixed Methods Study on Engagement Factors and Design Implications

Health Care Professionals' Engagement With Digital Mental Health Interventions in the United Kingdom and China: Mixed Methods Study on Engagement Factors and Design Implications

Research in countries like the United States, Australia, and Europe has provided evidence that DMHIs based on mobile apps, websites, and virtual reality are accepted and can be efficacious among nurses, physicians, and medical trainees [4,7-12]. The majority of the literature has focused on apps and websites, with evidence on digital cognitive behavioral therapy, mindfulness interventions, mind-body and resilience skill training, and psychoeducational sessions delivered by mobile apps and websites [6,13].

Zheyuan Zhang, Sijin Sun, Laura Moradbakhti, Andrew Hall, Celine Mougenot, Juan Chen, Rafael A Calvo

JMIR Ment Health 2025;12:e67190

Patient and Clinician Perspectives on Alert-Based Remote Monitoring–First Care for Cardiovascular Implantable Electronic Devices: Semistructured Interview Study Within the Veterans Health Administration

Patient and Clinician Perspectives on Alert-Based Remote Monitoring–First Care for Cardiovascular Implantable Electronic Devices: Semistructured Interview Study Within the Veterans Health Administration

The number of interviews that we conducted with both our population of veterans and Veterans Affairs (VA) clinicians exceeded the number (n=17) found in recent empiric studies [20]. Atlas.ti 23 (ATLAS.ti Scientific Software Development Gmb H), a qualitative analysis software, was used to organize and apply analytic codes. This work was conducted as a quality improvement project and not human subjects research.

Allison Kratka, Thomas L Rotering, Scott Munson, Merritt H Raitt, Mary A Whooley, Sanket S Dhruva

JMIR Cardio 2025;9:e66215

Mobile Apps and Wearable Devices for Cardiovascular Health: Narrative Review

Mobile Apps and Wearable Devices for Cardiovascular Health: Narrative Review

The inclusion criteria of the mobile apps and wearables included in this review are outlined in Textbox 1. The included mobile apps were required to meet at least 1 of the following criteria: Health and well-being tracking: apps that measured or logged health and well-being were typically categorized as health and fitness apps. Specific metric measurement: apps that measured specific metrics, such as heart rate and heart rate variability.

Gauri Kumari Chauhan, Patrick Vavken, Christine Jacob

JMIR Mhealth Uhealth 2025;13:e65782

Using a Hybrid of AI and Template-Based Method in Automatic Item Generation to Create Multiple-Choice Questions in Medical Education: Hybrid AIG

Using a Hybrid of AI and Template-Based Method in Automatic Item Generation to Create Multiple-Choice Questions in Medical Education: Hybrid AIG

The traditional way of writing multiple-choice items, characterized by manual development processes, presents significant challenges in scalability. This challenge stems from the intensive time and effort required to create and review each question. This laborious process, which demands expertise and resources, faces a bottleneck in scaling up to meet the demand for a vast quantity of quality items.

Yavuz Selim Kıyak, Andrzej A Kononowicz

JMIR Form Res 2025;9:e65726

Correction: Exergame (ExerG)-Based Physical-Cognitive Training for Rehabilitation in Adults With Motor and Balance Impairments: Usability Study

Correction: Exergame (ExerG)-Based Physical-Cognitive Training for Rehabilitation in Adults With Motor and Balance Impairments: Usability Study

In “Exergame (Exer G)-Based Physical-Cognitive Training for Rehabilitation in Adults With Motor and Balance Impairments: Usability Study” (JMIR Serious Games 2025;13:e66515) the authors noted one error. The files attached to the manuscript as Multimedia Appendices 4 and 5 were mixed. To correct this, the PDF that was originally attached as: Multimedia Appendix 4: Further illustration of outcomes in both user groups.

Silvia Herren, Barbara Seebacher, Sarah Mildner, Yanick Riederer, Ulrike Pachmann, Nija Sonja Böckler, Stephan Niedecken, Sabrina Alicia Sgandurra, Leo Bonati, Isabella Hotz, Alexandra Schättin, Roman Jurt, Christian Brenneis, Katharina Lenfert, Frank Behrendt, Stefan Schmidlin, Lennart Nacke, Corina Schuster-Amft, Anna Lisa Martin-Niedecken

JMIR Serious Games 2025;13:e73405

Multilevel Factors and Indicators of Atypical Neurodevelopment During Early Infancy in Japan: Prospective, Longitudinal, Observational Study

Multilevel Factors and Indicators of Atypical Neurodevelopment During Early Infancy in Japan: Prospective, Longitudinal, Observational Study

Similar to how the concept of mild cognitive impairment has facilitated early intervention in preclinical stages of dementia [6], identifying early indicators of developmental concerns may enable more timely and effective support strategies. However, the complex nature of early development, with its inherent variability and multiple influencing factors, has made it challenging to identify and interpret these early indicators reliably.

Daigo Kato, Akiko Okuno, Tetsuo Ishikawa, Shoji Itakura, Shinji Oguchi, Yoshiyuki Kasahara, Kenji Kanenishi, Yuzo Kitadai, Yoshitaka Kimura, Naoki Shimojo, Kazushige Nakahara, Akiko Hanai, Hiromichi Hamada, Haruta Mogami, Seiichi Morokuma, Kazuhiro Sakurada, Yukuo Konishi, Eiryo Kawakami

JMIR Pediatr Parent 2025;8:e58337

Effect of Home-Based Virtual Reality Training on Upper Extremity Recovery in Patients With Stroke: Systematic Review

Effect of Home-Based Virtual Reality Training on Upper Extremity Recovery in Patients With Stroke: Systematic Review

How to further enhance the personalization and sustainability of VR training in the home environment should be studied to improve its broad application in various rehabilitation scenarios. Training intensity and duration are important factors affecting the effect of VR intervention. Most studies have set the duration of the intervention between 20 and 60 minutes, and the effect varies depending on the type of human-computer interaction.

Jiaqi Huang, Yixi Wei, Ping Zhou, Xiaokuo He, Hai Li, Xijun Wei

J Med Internet Res 2025;27:e69003