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This is also reflected in cluster 1’s increased message volume and messaging behavior, most likely highlighting their role in clinical decision-making. However, such a centralized communication structure may also increase physicians’ workload and cognitive burden arising from an increased messaging volume [57].
Similarly, there was one cluster (cluster 4) of nurses and medical assistants who had fewer connections and were not as central within the network.
JMIR Med Inform 2025;13:e66544
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We aim to expand on the previous literature by assessing the readability of heart failure–related online PEMs from renowned cardiology institutions, assessing GPT-4’s ability to improve the readability of these PEMs, and comparing the accuracy and comprehensiveness between institutional PEMs and GPT-4’s revised PEMs.
JMIR Cardio 2025;9:e68817
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’t reduce violent crime, study finds(https://www.aclunc.org/blog/san-francisco-surveillance-cameras-don
J Med Internet Res 2025;27:e71998
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In our study, we implemented this validation approach by comparing GPT-4’s classifications of synthetic posts against those from other leading LLM platforms.
J Med Internet Res 2025;27:e65226
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Determinants of Digital Health Literacy: International Cross-Sectional Study
J Med Internet Res 2025;27:e66631
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