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Assessment of Gait Parameters Using Wearable Sensors and Their Association With Muscle Mass, Strength, and Physical Performance in Korean Older Adults: Cross-Sectional Study

Assessment of Gait Parameters Using Wearable Sensors and Their Association With Muscle Mass, Strength, and Physical Performance in Korean Older Adults: Cross-Sectional Study

Gait monitoring, particularly gait speed, has been identified as a valid indicator of sarcopenia and is associated with health outcomes such as disability and mortality in older adults [11,12]. Although various gait parameters such as step length, stride length and width, and single support time during walking can be detected, their use in research has been limited owing to challenges in real-time measurement and result standardization [13].

Jinyoung Shin, Hyuk Jung Kweon, Jaekyung Choi

JMIR Form Res 2025;9:e63928

A Risk Prediction Model (CMC-AKIX) for Postoperative Acute Kidney Injury Using Machine Learning: Algorithm Development and Validation

A Risk Prediction Model (CMC-AKIX) for Postoperative Acute Kidney Injury Using Machine Learning: Algorithm Development and Validation

Acute kidney injury (AKI) represents a critical challenge in postoperative care, significantly affecting patient outcomes and health care systems. It is a common complication that affects up to 5% to 7.5% of all hospitalized patients, with a markedly higher prevalence of 20% in intensive care units [1]. Among all AKI in hospitalized patients, 40% occur in postoperative patients [1].

Ji Won Min, Jae-Hong Min, Se-Hyun Chang, Byung Ha Chung, Eun Sil Koh, Young Soo Kim, Hyung Wook Kim, Tae Hyun Ban, Seok Joon Shin, In Young Choi, Hye Eun Yoon

J Med Internet Res 2025;27:e62853

Participant Adherence in Repeated-Dose Clinical Studies Using Video-Based Observation: Retrospective Data Analysis

Participant Adherence in Repeated-Dose Clinical Studies Using Video-Based Observation: Retrospective Data Analysis

The success rate was determined for each study day in which SAIs were performed in each cohort (considered separate cohorts if the same study included arms with 2 or more different dosing schedules). The success rate for each study day in the overall cohort and across all study days in each cohort were also calculated. VSMS allows investigators to view SAI records in real-time, unlike other existing methods.

Seunghoon Han, Jihong Song, Sungpil Han, Suein Choi, Jonghyuk Lim, Byeong Yeob Oh, Dongoh Shin

JMIR Mhealth Uhealth 2025;13:e65668

Effect of the Yon PD App on the Management of Self-Care in People With Parkinson Disease: Randomized Controlled Trial

Effect of the Yon PD App on the Management of Self-Care in People With Parkinson Disease: Randomized Controlled Trial

In previous studies, a total score of 70 or higher on the SC-CII was reported to indicate a high level of self-care [36,38]. The high validity and reliability of the SC-CII have been reported in previous research [38]. In this study, Cronbach α of the SC-CII was 0.580-0.673 in maintenance, 0.872-0.916 in monitoring, and 0.601-0.725 in management. To measure satisfaction with the Yon PD app, we developed a self-report questionnaire.

JuHee Lee, Subin Yoo, Yielin Kim, Eunyoung Kim, Hyeran Park, Young H Sohn, Yun Joong Kim, Seok Jong Chung, Kyoungwon Baik, Kiyeon Kim, Jee-Hye Yoo

J Med Internet Res 2025;27:e62822

Medical Device Based on a Virtual Reality–Based Upper Limb Rehabilitation Software: Usability Evaluation Through Cognitive Walkthrough

Medical Device Based on a Virtual Reality–Based Upper Limb Rehabilitation Software: Usability Evaluation Through Cognitive Walkthrough

Upper limb rehabilitation plays a critical role in restoring functional abilities in individuals with stroke or neurological injuries, enhancing their independence and autonomy [1,2]. Virtual reality (VR) technology has emerged as a promising tool in rehabilitation therapy, offering immersive and interactive features that can improve patient engagement and therapeutic outcomes [3-5].

Seojin Hong, Hyun Choi, Hyosun Kweon

JMIR Form Res 2025;9:e68149

Analysis of Metabolic and Quality-of-Life Factors in Patients With Cancer for a New Approach to Classifying Walking Habits: Secondary Analysis of a Randomized Controlled Trial

Analysis of Metabolic and Quality-of-Life Factors in Patients With Cancer for a New Approach to Classifying Walking Habits: Secondary Analysis of a Randomized Controlled Trial

In addition, with respect to the QOL questionnaire, improvements in energy, work, depression, memory, and happiness were statistically significant only in the AWG, whereas other factors did not show significant differences. The IWG and AWG showed significant differences in demographic factors such as sex, age, and cancer types.

Yae Won Tak, Junetae Kim, Haekwon Chung, Sae Byul Lee, In Ja Park, Sei Won Lee, Min-Woo Jo, Jong Won Lee, Seunghee Baek, Yura Lee

J Med Internet Res 2025;27:e52694

Validation of Ecological Momentary Assessment With Reference to Accelerometer Data: Repeated-Measures Panel Study With Multilevel Modeling

Validation of Ecological Momentary Assessment With Reference to Accelerometer Data: Repeated-Measures Panel Study With Multilevel Modeling

The recent development of digital and wearable technologies has made it possible to continuously track PA in real life through sensors embedded in digital devices. This expansion provides researchers with a broader range of choices, as both research-grade and consumer-grade wearables, with varying costs and capacities to measure health conditions, are now available in the market.

Jung Min Noh, SongHyun Im, JooYong Park, Jae Myung Kim, Miyoung Lee, Ji-Yeob Choi

J Med Internet Res 2025;27:e59878

Theory-Based Social Media Intervention for Nonmedical Use of Prescription Opioids in Young Adults: Protocol for a Randomized Controlled Trial

Theory-Based Social Media Intervention for Nonmedical Use of Prescription Opioids in Young Adults: Protocol for a Randomized Controlled Trial

NMUPO has also led to extensive medical costs in the United States (US $78.5 billion annually) [6]. Young adults (aged between 18 and 25 y) are at a high risk for NMUPO. In 2019, 5.5% of young adults in the United States engaged in past-year NMUPO, compared to 2.3% to 3.5% for other age groups. This rate was even higher among those who were not enrolled in college (6.3%) [7].

Cheuk Chi Tam, Sean D Young, Sayward Harrison, Xiaoming Li, Alain H Litwin

JMIR Res Protoc 2025;14:e65847

Mobile App-Based Interactive Care Plan for Migraine: Survey Study of Usability and Improvement Opportunities

Mobile App-Based Interactive Care Plan for Migraine: Survey Study of Usability and Improvement Opportunities

In addition, we observed that most respondents prefer to track headache outcomes that are of interest to clinicians engaged in migraine management, including headache days, treatment days and response, and functional impairment [22].

Nathan P Young, Jennifer I Stern, Stephanie J Steel, Jon O Ebbert

JMIR Form Res 2025;9:e66763

Evaluating the Diagnostic Accuracy of ChatGPT-4 Omni and ChatGPT-4 Turbo in Identifying Melanoma: Comparative Study

Evaluating the Diagnostic Accuracy of ChatGPT-4 Omni and ChatGPT-4 Turbo in Identifying Melanoma: Comparative Study

Multiple AI systems exist in medicine, including large language models (LLMs), neural networks, and predictive models. While studies have demonstrated AI’s mixed precision and accuracy, the technology is poised to assist with data-driven diagnostics in dermatology [2]. There has a been rapid popularization of the LLM, Chat GPT for home-based medical inquiries [3]. Minimal research exists on Chat GPT’s accuracy in detecting melanoma.

Samantha S. Sattler, Nitin Chetla, Matthew Chen, Tamer Rajai Hage, Joseph Chang, William Young Guo, Jeremy Hugh

JMIR Dermatol 2025;8:e67551