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While such referrals may be beneficial, they also artificially circumscribed interactions in a way that could be taken as a missed opportunity.
There are several important study limitations to note. First, LLM technologies are constantly evolving. This study offers a snapshot of LLM performance in July 2024. Second, we selected the SIRI-2 as an evaluative tool because it is widely used; however, alternative instruments could result in different findings.
J Med Internet Res 2025;27:e67891
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These models can capture subtle meanings in textual discourse, such as recognizing that the phrase “dark tunnel” in “I just feel like I’m stuck in a dark tunnel, and there’s no way out” metaphorically conveys despair, isolation, and hopelessness [33]. LLMs have also been used to predict mental health problems, such as depression, from online conversations [34-38] and have recently been applied to predict EMSs in OMHC posts [16].
J Med Internet Res 2025;27:e59524
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Spaced Digital Education for Health Professionals: Systematic Review and Meta-Analysis
An important strategy to increase recruitment and retention of health care workers is providing high-quality education in an affordable, effective, and sustainable way [5].
Digital education is “the act of teaching and learning by means of digital technologies” [6]. Digital education may promote continuous professional development and improve health care workers’ competencies by offering convenient and adaptable learning tools that can be accessed at any place and time [6-10].
J Med Internet Res 2024;26:e57760
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A Nationwide Physical Activity Intervention for 654,500 Adults in Singapore: Cost-Utility Analysis
Scenario analysis, one-way deterministic sensitivity analysis, deterministic threshold sensitivity analysis, and probabilistic sensitivity analysis were done to assess the robustness of our model results in the base case to changes in key parameters over plausible ranges. All analyses were conducted in R version 4.1.2 (R Foundation for Statistical Computing).
We examined the differentiation of cost among different physical activity levels within each health state.
JMIR Public Health Surveill 2024;10:e46178
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In recent years, digital footprints, such as human-smartphone interactions, have emerged as a new way to observe human circadian rhythms [11,12]. Real-time, passively collected data from these interactions can provide long-term recordings of circadian rhythms in a natural setting, potentially offering an alternative to actigraphy.
J Med Internet Res 2024;26:e50149
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One such recent example is the survey on gastrointestinal (GI) health care in 2022, which covered clinicians’ perspectives in a general way [13]. However, such surveys lack granularity. It is impossible to know under what circumstances do clinicians become less trusting or accepting or become more concerned about the deployments of AI.
Moreover, there is a lack of explicit modeling from collected data to relate patterns of risk perception, acceptance, and trust among practitioners.
JMIR AI 2024;3:e50525
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