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Integrating the Situational Theory of Problem Solving and Technology Acceptance Model to Predict Intention to Practice Health Protective Behavior for Influenza-Like Illness Among TikTok Users: Cross-Sectional Study

Integrating the Situational Theory of Problem Solving and Technology Acceptance Model to Predict Intention to Practice Health Protective Behavior for Influenza-Like Illness Among TikTok Users: Cross-Sectional Study

Platforms such as We Chat [8], Twitter (subsequently rebranded X) [9], and Instagram [10] enable real-time updates, interactive features, and peer-to-peer communication that can rapidly spread public health messages. Compared with traditional mass media, social media supports 2-way communication, increases message reach, and fosters user-generated content, making it an essential tool in modern health campaigns [11,12].

Can Li, Jen-Sern Tham, Ghazali Akmar Hayati Ahmad, Norliana Hashim, Jeong-Nam Kim

J Med Internet Res 2025;27:e73677

Global Health care Professionals’ Perceptions of Large Language Model Use In Practice: Cross-Sectional Survey Study

Global Health care Professionals’ Perceptions of Large Language Model Use In Practice: Cross-Sectional Survey Study

Participants stated that Chat GPT can improve patient outcomes through personalized health education by providing tailored information and support (n=76, 75.2%); assisting with medication management through reminders and refill prescriptions, and provide information on side effects and interactions (n=55, 54.5%); telemedicine support for health care professionals to conduct virtual consultations, collect patient data, and provide decision support (n=48, 50%); aiding in symptom triage for patients (n=49, 48.5%

Ecem Ozkan, Aysun Tekin, Mahmut Can Ozkan, Daniel Cabrera, Alexander Niven, Yue Dong

JMIR Med Educ 2025;11:e58801

Enhancing Immersion in Virtual Reality–Based Advanced Life Support Training: Randomized Controlled Trial

Enhancing Immersion in Virtual Reality–Based Advanced Life Support Training: Randomized Controlled Trial

Training using serious gaming modules can be conducted through various platforms such as personal computers, tablets, virtual reality (VR), or mixed reality systems like augmented reality or augmented virtuality. The portability and increased affordability of VR systems in recent years have contributed to significant growth in VR-based learning.

Dilek Kitapcioglu, Mehmet Emin Aksoy, Arun Ekin Ozkan, Tuba Usseli, Dilan Cabuk Colak, Tugrul Torun

JMIR Serious Games 2025;13:e68272

Balancing Between Privacy and Utility for Affect Recognition Using Multitask Learning in Differential Privacy–Added Federated Learning Settings: Quantitative Study

Balancing Between Privacy and Utility for Affect Recognition Using Multitask Learning in Differential Privacy–Added Federated Learning Settings: Quantitative Study

For instance, if we want to improve how a system recognizes emotions, we can also train it to recognize gender [7]. By doing this, the system can learn from both tasks simultaneously, making it more effective in recognizing emotions and enhancing performance. The motivation for using identity and emotion has also a psychological basis. Connolly et al [8] examined whether facial responses are shared between identity and emotion.

Mohamed Benouis, Elisabeth Andre, Yekta Said Can

JMIR Ment Health 2024;11:e60003

Development and Validation of a Machine Learning–Based Early Warning Model for Lichenoid Vulvar Disease: Prediction Model Development Study

Development and Validation of a Machine Learning–Based Early Warning Model for Lichenoid Vulvar Disease: Prediction Model Development Study

LVD is often recurrent, and in the later stage, it can lead to vaginal stenosis, causing dyspareunia and even carrying the risk of carcinoma, which severely impacts the physical and psychological well-being of the patients [4-6]. It is evident that Chinese women are often reluctant to seek medical care from formal health care facilities due to economic, cultural and traditional concept, and other factors.

Jian Meng, Xiaoyu Niu, Can Luo, Yueyue Chen, Qiao Li, Dongmei Wei

J Med Internet Res 2024;26:e55734

Comparing Learning Outcomes of Machine-Guided Virtual Reality–Based Training With Educator-Guided Training in a Metaverse Environment: Randomized Controlled Trial

Comparing Learning Outcomes of Machine-Guided Virtual Reality–Based Training With Educator-Guided Training in a Metaverse Environment: Randomized Controlled Trial

Training using serious gaming modules can be conducted through various platforms, such as personal computers; tablet personal computers; virtual reality (VR); or mixed reality systems, such as augmented reality or augmented virtuality. Due to the immersive effect and enhanced student engagement, VR and mixed reality modules are currently favored for health care training, such as advanced cardiac life support (ACLS) training [6-8].

Dilek Kitapcioglu, Mehmet Emin Aksoy, Arun Ekin Ozkan, Tuba Usseli

JMIR Serious Games 2024;12:e58654

Efficient Use of Biological Data in the Web 3.0 Era by Applying Nonfungible Token Technology

Efficient Use of Biological Data in the Web 3.0 Era by Applying Nonfungible Token Technology

It can hold many files that include transaction IDs and detailed history. Therefore, we can store a large number of biomedical and sample data through an NFT [19]. As envisaged by Skalidis et al [20], tagging and converting patient data (medical information, health status, examination results, and consent forms) into an NFT can enhance privacy and ensure data integrity and confidentiality in clinical practice and research.

Guanyi Wang, Chen Chen, Ziyu Jiang, Gang Li, Can Wu, Sheng Li

J Med Internet Res 2024;26:e46160

Association Between Sleep Efficiency Variability and Cognition Among Older Adults: Cross-Sectional Accelerometer Study

Association Between Sleep Efficiency Variability and Cognition Among Older Adults: Cross-Sectional Accelerometer Study

An explicit explanation of how each covariate was defined can be found in Multimedia Appendix 1. Participants with missing data were excluded to enable a complete-case analysis. Participant characteristics were reported using the means and SDs for numeric variables and counts and percentages for categorical variables. We first examined the relationship between mean and day-to-day sleep efficiency variability using the Pearson r correlation coefficient and a scatterplot.

Collin Sakal, Tingyou Li, Juan Li, Can Yang, Xinyue Li

JMIR Aging 2024;7:e54353

Mobile Technology to Monitor and Support Health and Well-Being: Qualitative Study of Perspectives and Design Suggestions From Patients Undergoing Hematopoietic Cell Transplantation

Mobile Technology to Monitor and Support Health and Well-Being: Qualitative Study of Perspectives and Design Suggestions From Patients Undergoing Hematopoietic Cell Transplantation

The device can be worn on the wrist and wirelessly connects with the patient’s smartphone via Bluetooth to the Fitbit mobile app (available on Android and i OS systems). Participants had access to their data and, if they wanted, could set fitness goals within the app. The participants were instructed to wear the Fitbit device continuously. The smartwatch uploaded data to the participant’s phone every 15 minutes via Bluetooth Low Energy [12].

Cinzia Caparso, Gwynne Ozkan, Maxwell Kluge, Humza Salim, Aidan Khaghany, Amanda Blok, Sung Won Choi

JMIR Form Res 2023;7:e49806