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Skip search results from other journals and go to results- 2 JMIR Medical Education
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Authors’ Reply: Citation Accuracy Challenges Posed by Large Language Models
JMIR Med Educ 2025;11:e73698
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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.
JMIR Med Educ 2025;11:e63400
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Buholayka et al [33] reported that Chat GPT is trained to give uninterrupted flow of conversation even at the cost of giving hallucinating results. Another possible mechanism related to AI chatbots’ natural language processing methodology involves encoding and decoding defects during prompt processing, generating errors, and fabricating results [34].
JMIR Med Inform 2024;12:e54345
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Mobile Phone Use Among Medical Residents: A Cross-Sectional Multicenter Survey in Saudi Arabia
For example, Vohralik et al [18] assessed the reliability and validity of a mobile phone app to measure joint range. They concluded that the apps they assessed were both reliable and valid, provided a low-cost method for measuring range of motion, and were easily incorporated into clinical practice. In another study by Man et al [19], they found that a mobile phone app was effective for both increasing confidence in depression treatment and educating physicians.
JMIR Mhealth Uhealth 2016;4(2):e61
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