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Guidelines for Rapport-Building in Telehealth Videoconferencing: Interprofessional e-Delphi Study
JMIR Med Educ 2025;11:e76260
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In this regard, De Freitas et al [52] suggested that patients’ attitudes toward AI tools are significantly influenced by psychological factors, such as fear of inaccurate predictions and the emotional impact of AI-generated results. Addressing these psychological concerns seems crucial for improving patient acceptance and trust in AI technologies.
J Med Internet Res 2025;27:e73710
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Students’ Perceptions of Learning Analytics for Mental Health Support: Qualitative Study
JMIR Form Res 2025;9:e70327
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The dataset we built in this work, called D3 TEC (TEC de Monterrey’s Depression Detection Dataset), stands out for providing 2 new types of data previously unavailable in voice depression classification: Spanish recordings and simultaneous recordings using both professional and smartphone microphones. Moreover, audio quality standards are higher than most publicly available voice depression datasets.
JMIR Res Protoc 2025;14:e60439
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