A new explainable AI tool shows strong accuracy in predicting hospital readmission after renal transplantation, offering clinicians greater risk insight.

The study advanced beyond a one-size-fits-all model by developing both a global XGBoost classifier and cancer-type-specific ...

The study reveals that AI systems offer promising accuracy in predicting treatment outcomes, particularly when used to ...

Statistical and machine learning models were developed to predict ... with areas under the receiver operating curve (AUC) ranging from 0.81 to 0.95. The model that incorporated age at diagnosis ...