Machine learning predicts six-month malnutrition after colorectal cancer surgery
A prospective study of 205 colorectal cancer surgery patients found that an XGBoost model using four clinical variables predicted six-month ...
A prospective study of 205 colorectal cancer surgery patients found that an XGBoost model using four clinical variables predicted six-month ...
A systematic review of 11 studies found increasing algorithmic variety in breast image clustering but limited independent evaluation, prospective validation ...
A narrative review finds that multi-omics can illuminate coronary plaque biology, but most biomarkers and prediction models remain investigational.
A 2026 structured narrative review finds that reliable ophthalmic vessel AI requires validation of the full measurement pipeline, from image ...
A retrospective Chinese hospital study found that a population pharmacokinetic model using trough concentrations, laboratory data and omeprazole use increased ...
A single-center retrospective study found that fibrin degradation products, pain intensity and an institutional thrombosis score predicted in-hospital venous thromboembolism ...
A new meta-analysis of 18 studies finds that deep learning applied to dynamic contrast-enhanced breast MRI achieves 90 percent sensitivity ...
A systematic review of 123 studies maps how artificial intelligence is transforming brain imaging and computer-aided diagnosis of neurological diseases, ...
A systematic review of 83 studies finds that while deep learning models excel at ECG-based cardiovascular disease prediction, weak external ...
Medicine is quietly acquiring a new kind of patient: one made entirely of data and mathematics. Digital twins, computational replicas ...
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© 2025 Scienmag - Science Magazine