Search Articles

View query in Help articles search

Search Results (1 to 10 of 232 Results)

Download search results: CSV END BibTex RIS


Efficacy and Safety of Electroacupuncture Through Nerve Stimulation in Patients With Anxiety Disorders: Protocol for a Randomized, Assessor-Blind, Three-Arm, Parallel-Group Clinical Trial

Efficacy and Safety of Electroacupuncture Through Nerve Stimulation in Patients With Anxiety Disorders: Protocol for a Randomized, Assessor-Blind, Three-Arm, Parallel-Group Clinical Trial

In both groups, the intensity of the electrical stimulation (in m A) will be set to a level that the participant reports as a 4 to 5 on a scale from 0 to 10. The Standards for Reporting Interventions in Clinical Trials of Acupuncture (STRICTA) for acupuncture treatment is described in Multimedia Appendix 1.

In Chul Jung, Dong-Hoon Kang, Sunyoung Choi, Yujin Choi, Ojin Kwon, Hye Jeong Kook, Daeun Lee, Yang-Chun Park, Jieun Kim

JMIR Res Protoc 2025;14:e68166

Development and Validation of a Depression Scale for Online Assessment: Cross-Sectional Observational Study

Development and Validation of a Depression Scale for Online Assessment: Cross-Sectional Observational Study

While widely used self-report tools have played an essential role in screening and research, questions remain about whether current assessment methods fully capture the evolving ways in which individuals experience and articulate emotional distress—particularly in light of changing communication habits and the growing influence of digital environments.

Minjeong Jeon, Hae-In Park, Yoorianna Son, Ji Won Hyun, Jin Young Park

J Med Internet Res 2025;27:e70689

Comparing the Performance of Machine Learning Models and Conventional Risk Scores for Predicting Major Adverse Cardiovascular Cerebrovascular Events After Percutaneous Coronary Intervention in Patients With Acute Myocardial Infarction: Systematic Review and Meta-Analysis

Comparing the Performance of Machine Learning Models and Conventional Risk Scores for Predicting Major Adverse Cardiovascular Cerebrovascular Events After Percutaneous Coronary Intervention in Patients With Acute Myocardial Infarction: Systematic Review and Meta-Analysis

This study aimed to appraise studies comparing the performance of ML-based models with CRS in predicting MACCEs after PCI in AMI patients. Furthermore, this study identifies common risk factors for mortality after PCI using both ML and CRS, which may aid in developing clinical guidelines and improving personalized risk assessment.

Min-Young Yu, Hae Young Yoo, Ga In Han, Eun-Jung Kim, Youn-Jung Son

J Med Internet Res 2025;27:e76215

Detection and Analysis of Circadian Biomarkers for Metabolic Syndrome Using Wearable Data: Cross-Sectional Study

Detection and Analysis of Circadian Biomarkers for Metabolic Syndrome Using Wearable Data: Cross-Sectional Study

Wearable devices often underestimate and overestimate the number of steps in free-living environments. Therefore, circadian rhythm markers in this study were obtained by integrating 5 days of continuous data, which addressed inaccuracies in step count measurements by reflecting the overall trends in sleep and activity. In addition, this study can compensate for incorrectly measured step counts by exploring HR-based markers rather than step counts.

Jeong-Kyun Kim, Sujeong Mun, Siwoo Lee

JMIR Med Inform 2025;13:e69328

External Validation of an Upgraded AI Model for Screening Ileocolic Intussusception Using Pediatric Abdominal Radiographs: Multicenter Retrospective Study

External Validation of an Upgraded AI Model for Screening Ileocolic Intussusception Using Pediatric Abdominal Radiographs: Multicenter Retrospective Study

However, the critical challenge lies in determining which patients should undergo ultrasonography in the first place. Using AI for this triage process could optimize workflows, reduce unnecessary examinations, and prevent diagnostic delays. In 2019, a study first proposed the use of AI to analyze AXRs for identifying pediatric patients requiring ultrasonography for intussusception diagnosis [6].

Jeong Hoon Lee, Pyeong Hwa Kim, Nak-Hoon Son, Kyunghwa Han, Yeseul Kang, Sejin Jeong, Eun-Kyung Kim, Haesung Yoon, Sergios Gatidis, Shreyas Vasanawala, Hee Mang Yoon, Hyun Joo Shin

J Med Internet Res 2025;27:e72097

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

In the STOPS, communicative action in problem solving (CAPS) is the second-order dependent variable, comprising 3 key communicative stages: information acquisition, information selection, and information transmission [20]. Each stage includes active and passive dimensions, resulting in 6 types of communicative actions [15].

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

J Med Internet Res 2025;27:e73677

Enhancing the Predictions of Cytomegalovirus Infection in Severe Ulcerative Colitis Using a Deep Learning Ensemble Model: Development and Validation Study

Enhancing the Predictions of Cytomegalovirus Infection in Severe Ulcerative Colitis Using a Deep Learning Ensemble Model: Development and Validation Study

Cytomegalovirus (CMV) reactivation is frequently observed in patients with severe ulcerative colitis (UC) [1,2]. A multicenter, prospective Korean study found CMV infections in 43% of patients with moderate to severe UC and 67% in those with steroid-refractory UC [3]. Such reactivation often leads to poorer prognoses compared with patients without CMV reactivation, increasing the risk of hospitalization due to UC exacerbation by 8.2 times [4,5].

Jeong Heon Kim, A Reum Choe, Ju Ran Byeon, Yehyun Park, Eun Mi Song, Seong-Eun Kim, Eui Sun Jeong, Rena Lee, Jin Sung Kim, So Hyun Ahn, Sung Ae Jung

JMIR Med Inform 2025;13:e64987

The First 6 Years’ Experiences of a National Centralized Offspring Surveillance Setting for Dutch Children Prenatally Exposed to Maternal Cancer to Inform Future International Practice: Protocol for a Demographic Review of Referred Families and Key Lessons Learned

The First 6 Years’ Experiences of a National Centralized Offspring Surveillance Setting for Dutch Children Prenatally Exposed to Maternal Cancer to Inform Future International Practice: Protocol for a Demographic Review of Referred Families and Key Lessons Learned

Cancer during pregnancy is rare, occurring in 1 in 1000-2000 pregnant women [1]. However, this incidence is rising as women tend to delay childbearing [2]. Also, since the introduction of the Non-invasive Prenatal Testing program in the Netherlands (in 2018), maternal cancer, often asymptomatic, is detected incidentally, even before clinical symptoms appear [3]. Hence, cancer during pregnancy is an emerging health and societal challenge, which necessitates dedicated management for the mother and child.

Evangeline A Huis in 't Veld, Anouk M Kruse, Emma J Verwaaijen, Sterre C Huizer, Elisabeth M van Dijk-Lokkart, Christianne Lok, Maaike Kuethe, Frederic Amant, Mathilde M A van Gerwen, Martine van Grotel, Marry M van den Heuvel-Eibrink

JMIR Res Protoc 2025;14:e71612

Large Language Model–Assisted Surgical Consent Forms in Non-English Language: Content Analysis and Readability Evaluation

Large Language Model–Assisted Surgical Consent Forms in Non-English Language: Content Analysis and Readability Evaluation

By systematically assessing these 2 key dimensions, this research seeks to contribute to a deeper understanding of the potential benefits and inherent limitations of deploying LLMs for consent documentation in multilingual clinical settings, informing their responsible development and potential application in real-world medical practice.

Namkee Oh, Jongman Kim, Sunghae Park, Sunghyo An, Eunjin Lee, Hayeon Do, Jiyoung Baik, Suk Min Gwon, Jinsoo Rhu, Gyu-Seong Choi, Seonmin Park, Jai Young Cho, Hae Won Lee, Boram Lee, Eun Sung Jeong, Jeong-Moo Lee, YoungRok Choi, Jieun Kwon, Kyeong Deok Kim, Seok-Hwan Kim, Gwang-Sik Chun

J Med Internet Res 2025;27:e73222

Evaluating the User Experience and Usability of Game-Based Cognitive Assessments for Older People: Systematic Review

Evaluating the User Experience and Usability of Game-Based Cognitive Assessments for Older People: Systematic Review

To be included in this review, a GBCA must have been psychometrically validated with a sample of older users (aged ≥50 years). This validation could have occurred in the same study as the user evaluation or in a previous validation of the same game. In other words, evidence of validation was a prerequisite for inclusion in this review, but validation of the game was not necessarily required within the actual studies included in this review.

Rhys Mantell, Ye In Jane Hwang, Matthew Dark, Kylie Radford, Michael Kasumovic, Lauren Monds, Peter W Schofield, Tony Butler, Adrienne Withall

JMIR Aging 2025;8:e65252