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Skip search results from other journals and go to results- 47 Journal of Medical Internet Research
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Telemedicine Prescribing by US Mental Health Care Providers: National Cross-Sectional Survey
attitude
JMIR Form Res 2025;9:e63251
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Furthermore, consistent with other research [28,29], our study indicated that technology literacy and attitude can influence willingness to use digital tools. More anthropological field research on mental health care workers’ existing technology habits and literacy might help inform the system design of the ESM tools and understand users’ context and capabilities. Similarly, engaging end-users in co-design processes could help tackle usability issues that could lead users to abandon the tools.
JMIR Hum Factors 2025;12:e60096
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This reflects a cautious attitude of podiatrists toward AI-generated advice and raised the question: Will AI support be more readily accepted in supportive than in diagnostic tasks, and what factors influence this difference in acceptance?
Therefore, phase 2 of our study sought to explore the specific applications of AI in supportive versus diagnostic roles within podiatry in detail.
JMIR Hum Factors 2025;12:e59010
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Authors’ Reply: Enhancing the Clinical Relevance of Al Research for Medication Decision-Making
attitude
J Med Internet Res 2025;27:e72007
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Many published articles show that medical students have a positive attitude toward using Chat GPT in education [5-8]. Many students are eager to use AI tools as they believe it can revolutionize medicine and dentistry [9,10]. Additionally, Chat GPT and other chat-based AIs are continuing to evolve to expand their scope of usage, for example, making virtual histology slides for interactive learning [11-13]. Moreover, Chat GPT can be used in medical education and medical specialties [14].
JMIR Med Educ 2025;11:e63065
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Our study highlights a generally favorable attitude toward AI between medical students and pathology residents. A significant number of participants are already familiar with the ideas of AI and deep learning in medicine while the majority sees potential in AI for automated detection of pathologies and indication of appropriate investigations, which is a warning about replacing physicians and pathologists in the nearest future.
JMIR Med Educ 2025;11:e62669
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