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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

At the same time, commercial smartphone apps have many limitations in research, especially in collecting physical activity data over a sufficient period [16]. Consequently, the practical application of the research results to patients with cancer in the real world is limited, although e Health tools can provide a potent resource to facilitate personalized and accessible care in daily life [11,12].

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

Optimizing Initial Vancomycin Dosing in Hospitalized Patients Using Machine Learning Approach for Enhanced Therapeutic Outcomes: Algorithm Development and Validation Study

Optimizing Initial Vancomycin Dosing in Hospitalized Patients Using Machine Learning Approach for Enhanced Therapeutic Outcomes: Algorithm Development and Validation Study

The description of the web-based app use is summarized in Figure 2, and an example of the screenshot is provided in Figure S3 in Multimedia Appendix 1. Summary of web-based app use. The user can predict whether the area under the curve over 24 hours to minimum inhibitory concentration (AUC24/MIC) of the initial vancomycin dosage they plan to administer falls within the therapeutic range.

Heonyi Lee, Yi-Jun Kim, Jin-Hong Kim, Soo-Kyung Kim, Tae-Dong Jeong

J Med Internet Res 2025;27:e63983

Automated Radiology Report Labeling in Chest X-Ray Pathologies: Development and Evaluation of a Large Language Model Framework

Automated Radiology Report Labeling in Chest X-Ray Pathologies: Development and Evaluation of a Large Language Model Framework

This extensive pretraining enables the models to capture complex patterns and detailed knowledge present in language, making them highly effective at understanding and generating natural language. Their exceptional performance in natural language generation, coupled with their ability to handle longer text inputs, motivates their application in various specialized domains, such as radiology report labeling. In our work, we specifically use the Qwen model [29], particularly the Qwen1.5‐0.5 B variant.

Abdullah Abdullah, Seong Tae Kim

JMIR Med Inform 2025;13:e68618

A Brief Cognitive Behavioral Therapy–Based Digital Intervention for Reducing Hazardous Alcohol Use in South Korea: Development and Prospective Pilot Study

A Brief Cognitive Behavioral Therapy–Based Digital Intervention for Reducing Hazardous Alcohol Use in South Korea: Development and Prospective Pilot Study

The primary outcome was the change in the number of days participants abstained from alcohol in the past 14 days. Secondary outcomes included changes in total AUDIT scores, the total amount of alcohol consumed in the past 14 days, and psychiatric symptom scores (PHQ-9, GAD-7, PSS, and CIWA-Ar), all assessed at both baseline (visit 1) and postintervention (visit 3). All statistical analyses were conducted using SPSS (version 26 for Windows; IBM Corp).

Manjae Kwon, Daa Un Moon, Minjae Kang, Young-Chul Jung

JMIR Form Res 2025;9:e64459

Predicting Readmission Among High-Risk Discharged Patients Using a Machine Learning Model With Nursing Data: Retrospective Study

Predicting Readmission Among High-Risk Discharged Patients Using a Machine Learning Model With Nursing Data: Retrospective Study

Readmission is an unintended outcome that occurs in patients discharged from the hospital. In South Korea, the 30-day readmission rate in tertiary general hospitals in 2020 was approximately 30%, increasing yearly along with readmission cost statistics [1]. According to a Center for Medicare and Medicaid Services report in the United States, readmission rates for patients reach 2 million yearly, with readmissions costing $26 billion [2].

Eui Geum Oh, Sunyoung Oh, Seunghyeon Cho, Mir Moon

JMIR Med Inform 2025;13:e56671

Comparative Effectiveness of Wearable Devices and Built-In Step Counters in Reducing Metabolic Syndrome Risk in South Korea: Population-Based Cohort Study

Comparative Effectiveness of Wearable Devices and Built-In Step Counters in Reducing Metabolic Syndrome Risk in South Korea: Population-Based Cohort Study

The practice of “regular walking” was defined based on a survey as engaging in walking for at least 10 minutes consecutively for 5 or more days in the past week. If individuals who did not practice “regular walking” before participating in the program started practicing it afterward, it was considered an improvement in “regular walking.”

Kyung-In Joung, Sook Hee An, Joon Seok Bang, Kwang Joon Kim

JMIR Mhealth Uhealth 2025;13:e64527

A Mixed Reality–Based Telesupervised Ultrasound Education Platform on 5G Network Compared to Direct Supervision: Prospective Randomized Pilot Trial

A Mixed Reality–Based Telesupervised Ultrasound Education Platform on 5G Network Compared to Direct Supervision: Prospective Randomized Pilot Trial

This prospective randomized controlled pilot study was conducted at a tertiary academic hospital in South Korea from November 2023 to December 2023. The study aimed to compare an MR-based telesupervised ultrasound education platform using private 5 G networks with traditional in-person training for novice doctors. We recruited medical doctors from the Samsung Medical Center interested in ultrasound education with supervision through online and offline bulletin boards.

Minha Kim, Meong Hi Son, Suhyeon Moon, Won Chul Cha, Ik Joon Jo, Hee Yoon

JMIR Serious Games 2025;13:e63448

Therapeutic Potential of Social Chatbots in Alleviating Loneliness and Social Anxiety: Quasi-Experimental Mixed Methods Study

Therapeutic Potential of Social Chatbots in Alleviating Loneliness and Social Anxiety: Quasi-Experimental Mixed Methods Study

In the field of psychiatry, chatbots have provided useful information in response to user questions [2] and have shown tangible therapeutic effects through psychological therapies, such as cognitive behavioral therapy [3,4]. Various studies have highlighted the potential of chatbots as an effective medium for digital self-help.

Myungsung Kim, Seonmi Lee, Sieun Kim, Jeong-in Heo, Sangil Lee, Yu-Bin Shin, Chul-Hyun Cho, Dooyoung Jung

J Med Internet Res 2025;27:e65589

Integrating Infant Safe Sleep and Breastfeeding Education Into an App in a Novel Approach to Reaching High-Risk Populations: Prospective Observational Study

Integrating Infant Safe Sleep and Breastfeeding Education Into an App in a Novel Approach to Reaching High-Risk Populations: Prospective Observational Study

There continue to be racial and socioeconomic disparities in SUID, with rates higher among Black infants and infants who live in poverty [4-6]. The disparity can be marked, for instance, in Allegheny County, Pennsylvania in 2017‐2022; 35% of all SUID occurred in 5.6% (7/124) of zip codes (Berger R, MPH, MD, unpublished data, personal communication, May 2024). Parental education in the newborn nursery has been an important approach to reducing the risk of SUID [7-9].

Tamar Krishnamurti, Rachel Moon, Rudolph Richichi, Rachel Berger

JMIR Pediatr Parent 2025;8:e65247

Development and Validation of the Digital Sensitivity Scale for Adults: Cross-Sectional Observational Study

Development and Validation of the Digital Sensitivity Scale for Adults: Cross-Sectional Observational Study

A statistically significant difference was found in the total digital literacy score (F5=18.076; P The analysis of differences across subfactors by age group is as follows. In the digital application subfactor, individuals in their 20s scored higher than those in their 40s, 50s, and 60s. Individuals in their 30s also scored significantly higher than those in their 50s and 60s, whereas those in their 40s scored higher than those in their 60s.

Hae In Park, Minjeong Jeon, Ji Seon Ahn, Kyungmi Chung, Jin Young Park

J Med Internet Res 2025;27:e55828