e.g. mhealth
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Skip search results from other journals and go to results- 11 Journal of Medical Internet Research
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However, challenges remain when these models are tested with image-based questions, highlighting a persisting gap between current AI capabilities and the complex demands of radiological diagnostics [26]. While integrating LLMs into medical education and assessments promises transformative changes in how content is delivered and evaluated, there is a risk of excessive reliance on AI.
JMIR Med Educ 2025;11:e64284
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To assess model stability, several diagnostics and post hoc analyses were performed. First, variance inflation factors were computed to assess collinearity between the study variables. Next, a series of model diagnostics were calculated including residual versus predictor plots, a quantile-quantile plot of residuals, an outlier test plot, and a nonparametric dispersion test plot using the standard deviation of fitted and simulated residuals.
JMIR Public Health Surveill 2024;10:e57495
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Virtual Reality in Clinical Teaching and Diagnostics for Liver Surgery: Prospective Cohort Study
Especially in areas of surgery and radiology, but also for any medical specialty, an extraordinary level of knowledge of human anatomy, as well as the transfer of what has been learned to the respective patient, is indispensable for the success of diagnostics and therapy [2-4].
JMIR XR Spatial Comput 2024;1:e60383
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Indeed, the majority of health care–related AI systems that have reached regulatory approval belong to the field of medical diagnostics [3]. As seminal primary research studies arise on the theme of AI diagnostics [4,5], there has been a concomitant rise in secondary research studies that amalgamate the findings of comparable studies.
JMIR Res Protoc 2024;13:e58202
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There have also been advancements in its application, such as implementing smartphone-based point-of-care diagnostics [8]. However, these models rely on trained image data, require large image data sets, and do not consider patient information or clinical context. Consequently, the universality of these models is limited, and their optimal application in clinical practice remains unclear.
Recently, large-scale language-processing models have become available for general use.
JMIR AI 2024;3:e58342
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