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Developing the Digital Health Communication Maturity Model: Systematic Review
J Med Internet Res 2025;27:e68344
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For instance, Zhao et al [23] constructed machine learning models to predict the p CR to NAC based on clinicopathological variables. Similarly, Zhang and coworkers [24-30] developed machine learning models that incorporated clinicopathological features, radiomic features, and pathomic features to forecast the p CR following NAC. Additionally, Sammut et al [31] and Chen et al [32] created models using multi-omics data.
J Med Internet Res 2025;27:e69864
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Citation Accuracy Challenges Posed by Large Language Models
JMIR Med Educ 2025;11:e72998
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