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The Application of AI to Ecological Momentary Assessment Data in Suicide Research: Systematic Review
RNNs and other “black box” models have shown good prediction accuracy, but it can be difficult to explain the prediction made. A better understanding of how models operate can enable the detection of bias and faults of the model that can arise through biased training sets. Predictions from unexplainable models also pose substantial challenges to implementation, as the uptake of model predictors depends strongly on clinicians understanding and trusting them [62].
J Med Internet Res 2025;27:e63192
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The simplified ethnicity categories provided by Prolific (White, Black, Asian, mixed, and other) were used for statistical analyses beyond describing participant characteristics.
J Med Internet Res 2025;27:e59591
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Popular Treatments of Psoriasis on Social Media: Google Trends Analysis
JMIR Dermatol 2025;8:e70067
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Patterns of Internet Use in People Diagnosed With Severe Mental Illness: Qualitative Interview Study
J Med Internet Res 2025;27:e55072
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