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Artificial intelligence for predicting antiretroviral therapy outcomes in people living with HIV: A systematic review of predictive models, predictors and clinical readiness
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DOI：10.1111/hiv.70277.png)
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Abstract
En 中文
Machine learning (ML), deep learning (DL) and other predictive modelling approaches are increasingly applied to predict antiretroviral therapy (ART) outcomes among people living with HIV, yet their methodological robustness and suitability for clinical and digital health integration remain uncertain.
Keywords:
antiretroviral therapy
artificial intelligence
clinical informatics
digital health
HIV
model validation
predictive modelling
systematic review
Journal
IF:
3.2
Papers:
301
Citations:
3.0K
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