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A systematic review and meta-analysis by Amiri et al [9] examined the attitudes and knowledge of medical, dental, and nursing students toward AI in health care. The findings revealed a moderate level of knowledge (3736/8491, 44%) and a generally positive attitude (5519/8491, 65%), suggesting a promising level of acceptance of AI technologies among health care students.
JMIR Nursing 2025;8:e71653
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The study by Vestergaard et al [48] did not use standardized outcomes compatible for pooling, and the study by Geraedts et al [53] was a single-arm study without a control group, preventing calculation of comparative effect sizes. Therefore, both were excluded from the meta-analysis [43-46]. Figures 2-4 show the overall treatment effect size and the results of each study on the BBS, TUG, and CS.
JMIR Serious Games 2025;13:e67146
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Gurland et al [29] showed that administering e PROMs on a tablet to 103 patients who are undergoing surgery resulted in a 96% response rate in comparison to 25% with a paper-based collection method. Furthermore, e PROMs have the potential to enhance patient-physician communication by offering real-time pain tracking and avoiding possible recall bias [30].
JMIR Hum Factors 2025;12:e65271
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Examination of Chronic Sorrow Among Parents of Children With Disabilities: Cross-Sectional Study
This study received ethics approval from the institutional review board of the King Abdullah International Medical Research Center (SP23 J/144/09) on October 16, 2023, and the data collection lasted for 6 months.
Various measures were undertaken to maintain the privacy and confidentiality of participants. Although there was minimal risk involved, all measures to protect participants’ information were taken.
JMIR Pediatr Parent 2025;8:e65754
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Clinical Nurse Educators’ Job Satisfaction and Turnover Intentions: Protocol for a Scoping Review
JMIR Res Protoc 2025;14:e66712
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A systematic review and meta-analysis by Di Lorito et al [46] found that such interventions can produce positive effects on cognitive abilities among people with MCI and dementia. Furthermore, Karakose et al [47] conducted a comprehensive bibliometric and science mapping analysis, revealing the evolving landscape of digital addiction research, which is pertinent to understanding user engagement with digital health tools.
JMIR Hum Factors 2025;12:e70177
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