iProceedings - Search

Gonzalez-Garcia et al [45] demonstrated meticulous attention to detail, using dual independent data extraction and rigorous appraisal methods. Similarly, Yasin et al [41] leveraged PRISMA-Sc R (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines to enhance reliability. In contrast, Seibert et al [43] and Rony et al [46] provided limited details on the appraisal of included studies, raising questions about the reliability of their findings.

Rabie Adel El Arab, Omayma Abdulaziz Al Moosa, Fuad H Abuadas, Joel Somerville

J Med Internet Res 2025;27:e69881

Download Citation: END BibTex RIS

Download PDF Download XML

Epidemiological Characteristics of Intestinal Protozoal Infections and Their Risk Factors in Malaysia: Systematic Review and Meta-Analysis Protocol

The following electronic databases of scientific literature that have been peer-reviewed, as recommended by Siddaway et al [17], will be carefully searched without language restrictions and limited to human research only: Pub Med/MEDLINE, Scopus, Pro Quest, Web of Science, Science Direct, Google Scholar, and Cochrane Library databases. A manual search of reference lists of identified papers will be added to the electronic searches.

Nor Shazlina Mizan, Hassanain Al-Talib, Seok Mui Wang

JMIR Res Protoc 2025;14:e66350

Download Citation: END BibTex RIS

Download PDF Download XML

Infoveillance of COVID-19 Infections in Dentistry Using Platform X: Descriptive Study

Alghalia Al-Mansoori, Ola Al Hayk, Sharifa Qassmi, Sarah M Aziz, Fatima Haouari, Tawanda Chivese, Faleh Tamimi, Alaa Daud

J Med Internet Res 2025;27:e54650

Download Citation: END BibTex RIS

Download PDF Download XML

Authors’ Reply: Citation Accuracy Challenges Posed by Large Language Models

Mohamad-Hani Temsah, Ayman Al-Eyadhy, Amr Jamal, Khalid Alhasan, Khalid H Malki

JMIR Med Educ 2025;11:e73698

Download Citation: END BibTex RIS

Download PDF Download XML

Impact of Digital Engagement on Weight Loss Outcomes in Obesity Management Among Individuals Using GLP-1 and Dual GLP-1/GIP Receptor Agonist Therapy: Retrospective Cohort Service Evaluation Study

For example, a meta-analysis by Beleigoli et al [53] found that web-based interventions resulted in modest but significant additional weight loss compared with standard care. Moreover, our findings broaden the current literature on digital weight loss interventions that incorporate pharmacotherapy, building on recent work by Richards et al [29,30] which demonstrated that a remotely delivered, semaglutide-supported weight management program is both effective and efficacious in the short term.

Hans Johnson, David Huang, Vivian Liu, Mahmoud Al Ammouri, Christopher Jacobs, Austen El-Osta

J Med Internet Res 2025;27:e69466

Download Citation: END BibTex RIS

Download PDF Download XML

Effectiveness of Patients’ Education and Telenursing Follow-Ups on Self-Care Practices of Patients With Diabetes Mellitus: Cross-Sectional and Quasi-Experimental Study

Mohammed Alsahli, Alaa Abd-alrazaq, Dalia M Fathy, Sahar A Abdelmohsen, Olfat Abdulgafoor Gushgari, Heba K Ghazy, Amal Yousef Abdelwahed

JMIR Nursing 2025;8:e67339

Download Citation: END BibTex RIS

Download PDF Download XML

Prioritizing Trust in Podiatrists’ Preference for AI in Supportive Roles Over Diagnostic Roles in Health Care: Qualitative Interview and Focus Group Study

Such applications align with and enrich suggestions from the literature, including studies by Verma et al [10] and Longoni et al [5], suggesting the supportive use of AI to foster trust within health care settings. However, a contrasting perspective is presented in another experiment by Longoni et al [5], where preference leans toward human expertise over automated systems for triage tasks.

Mohammed A Tahtali, Chris C P Snijders, Corné W G M Dirne, Pascale M Le Blanc

JMIR Hum Factors 2025;12:e59010

Download Citation: END BibTex RIS

Download PDF Download XML

Perceptions and Earliest Experiences of Medical Students and Faculty With ChatGPT in Medical Education: Qualitative Study

Banerjee et al [11] reported that postgraduate trainee doctors have an overall positive perception of the impact of AI on clinical training; however, they found that AI will eventually reduce the trainees’ clinical judgment and practical skills. In line with that, the faculty participants were concerned about students’ self-reliance on AI applications on the cost of traditional teaching methods, which might deprive them from skills best learned in person or group teaching.

Noura Abouammoh, Khalid Alhasan, Fadi Aljamaan, Rupesh Raina, Khalid H Malki, Ibraheem Altamimi, Ruaim Muaygil, Hayfaa Wahabi, Amr Jamal, Ali Alhaboob, Rasha Assad Assiri, Jaffar A Al-Tawfiq, Ayman Al-Eyadhy, Mona Soliman, Mohamad-Hani Temsah