Search Articles

View query in Help articles search

Search Results (1 to 10 of 217 Results)

Download search results: CSV END BibTex RIS


Clinical Performance and Communication Skills of ChatGPT Versus Physicians in Emergency Medicine: Simulated Patient Study

Clinical Performance and Communication Skills of ChatGPT Versus Physicians in Emergency Medicine: Simulated Patient Study

Emergency medicine is characterized by an urgent need for rapid diagnosis and immediate treatment. The high patient load and strict time constraints in emergency departments increase the risk of essential clinical information being overlooked or misinterpreted, including symptom presentation and diagnostic test results [6,7]. In addition, extended shifts, often spanning 24 hours, contribute to clinician fatigue and the risk of human error.

ChulHyoung Park, Min Ho An, Gyubeom Hwang, Rae Woong Park, Juho An

JMIR Med Inform 2025;13:e68409

A Virtual Reality Force Control Training System on Brain Activation: Functional Near-Infrared Spectroscopy (fNIRS) Study

A Virtual Reality Force Control Training System on Brain Activation: Functional Near-Infrared Spectroscopy (fNIRS) Study

The second task involves picking up an interactive fork, selecting the appropriate food, and feeding it to the baby. In the wo FC system, the user simply performs a thumb-index finger opposition to pick up the fork. In contrast, the w FC system is designed with the same thumb-index finger opposition in wo FC system but with an additional isometric pinch contraction at 70 (SD 10%) maximum voluntary contraction (MVC), a value derived from a prior pilot study.

Luigi Gan, Chien-Ju Lin, Hsiao-Feng Chieh, Kai-Nan An, Fong-Chin Su

JMIR Serious Games 2025;13:e63874

Predicting Drug–Side Effect Relationships From Parametric Knowledge Embedded in Biomedical BERT Models: Methodological Study With a Natural Language Processing Approach

Predicting Drug–Side Effect Relationships From Parametric Knowledge Embedded in Biomedical BERT Models: Methodological Study With a Natural Language Processing Approach

Furthermore, we examine whether replacing the Word2 Vec model with a BERT-based model leads to an actual improvement in ADR prediction accuracy, thus validating the performance advantages of context-dependent language models. Figure 1 presents an overview of this study and illustrates the overall research flow from data collection to validation. System overview: the predictive performance of drug-side effect relationships was evaluated using area under the curve.

Woohyuk Jeon, Minjae Park, Doyeon An, Wonshik Nam, Ju-Young Shin, Seunghee Lee, Suehyun Lee

JMIR Med Inform 2025;13:e67513

COVID-19–Relevant Insights Into the Elevated Risk of Accidental Injuries in Survivors of SARS and Their Relatives in Taiwan: Retrospective Cohort Study

COVID-19–Relevant Insights Into the Elevated Risk of Accidental Injuries in Survivors of SARS and Their Relatives in Taiwan: Retrospective Cohort Study

An outbreak of severe acute respiratory syndrome (SARS) caused by a novel coronavirus severely affected Taiwan in 2003 [1], with the first confirmed diagnosis of SARS on February 25, 2003, and the last diagnosis on June 15, 2003. Through this endemic outbreak, there were 346 patients diagnosed with SARS, and 37 died among these patients [2], and there were also SARS outbreaks in China, Singapore, and Toronto, Canada, at about the same time [2].

Chieh Sung, Chi-Hsiang Chung, Chien-An Sun, Chang-Huei Tsao, Daphne Yih Ng, Tsu-Hsuan Weng, Li-Yun Fann, Fu-Huang Lin, Wu-Chien Chien

JMIR Public Health Surveill 2025;11:e70608

Cognitive Training Mobile Apps for Older Adults With Cognitive Impairment: App Store Search and Quality Evaluation

Cognitive Training Mobile Apps for Older Adults With Cognitive Impairment: App Store Search and Quality Evaluation

Aging is the primary risk factor for dementia, which affects an estimated 50 million individuals worldwide, with projections reaching 152 million by 2050 [1]. Age-related processes, including neurofibrillary tangles, amyloid-beta plaque deposition, and cerebrovascular changes, contribute to the pathogenesis of Alzheimer disease and other dementias [2]. Therefore, efforts to address cognitive decline in older adults are critical to mitigating the growing global burden of dementia.

Leyi Wu, Jiajuan Pan, Chuwen Dou, An Gu, An Huang, Hong Tao, Xiaoyan Wang, Chen Zhang, Lina Wang

JMIR Mhealth Uhealth 2025;13:e69637

Implementing a Cross-Border Next-Generation Personal Health Record in the Philippines and Taiwan: An Implementation Case Report Using Health Level 7 International Fast Healthcare Interoperability Resources

Implementing a Cross-Border Next-Generation Personal Health Record in the Philippines and Taiwan: An Implementation Case Report Using Health Level 7 International Fast Healthcare Interoperability Resources

The purpose of this study is to discuss the possibility of converting health insurance declaration data into PHRs and implement them in an internationally common format, and to explore the future adoption model of the international personal health management framework using health insurance data from Taiwan and the Philippines as examples.

Hsiu-An Lee, Jui-Chun Huang, Shih-Wun Huang, Wei-Han Chen, Alvin B Marcelo, Miguel Sandino O Aljibe, Chien-Yeh Hsu

JMIR Form Res 2025;9:e56272

Causal AI Recommendation System for Digital Mental Health: Bayesian Decision-Theoretic Analysis

Causal AI Recommendation System for Digital Mental Health: Bayesian Decision-Theoretic Analysis

Simulating an outcome given an observed baseline state is performed by setting each baseline node with the values of the observed baseline state and then simulating the follow-up state. This corresponds to doing “nothing” below, which is shorthand for simulating a follow-up state given no intervention. The interventional do-operation is used to simulate outcomes given idealized interventions.

Mathew Varidel, Victor An, Ian B Hickie, Sally Cripps, Roman Marchant, Jan Scott, Jacob J Crouse, Adam Poulsen, Bridianne O'Dea, Sarah McKenna, Frank Iorfino

J Med Internet Res 2025;27:e71305

Artificial Intelligence–Based Mobile Phone Apps for Child Mental Health: Comprehensive Review and Content Analysis

Artificial Intelligence–Based Mobile Phone Apps for Child Mental Health: Comprehensive Review and Content Analysis

This allows for a tailored intervention, optimizing the support offered based on an objective analysis of user data. Growing up in the digital era, children are inherently familiar with digital devices such as smartphones and tablets [12,13]. These tools offer an intuitive and user-friendly interface, eliminating complexities or abstract concepts and reducing potential barriers for younger users [13].

Fan Yang, Jianan Wei, Xuejun Zhao, Ruopeng An

JMIR Mhealth Uhealth 2025;13:e58597