Researchers from RWJBarnabas Health and Rutgers Cancer Institute, New Jersey's only National Cancer Institute-designated Comprehensive Cancer Center, as well as Tufts Medical Center and The University ...

Researchers from West Orange, N.J.-based RWJBarnabas Health, New Brunswick, N.J.-based Rutgers Cancer Institute, Boston-based Tufts Medical Center and the University of Manchester in England, have ...

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A cross-sectional study analyzed survey data of U.S. adults to compare the benefits of race-aware versus race-unaware predictions for disease risk. The analysis found that the clinical net benefit ...

The study found that deep learning models, especially CNNs, were the most frequently implemented technique (61.2%), followed ...

Researchers at Johns Hopkins University (MD, USA) and Duke University (NC, USA) have developed a novel AI tool for predicting ...

Optimal Risk prediction for mAke30 in patients with sepsis associated AKI using deep LEarning,” published in the May 2025 ...

A risk prediction model outlined in The Journal of Clinical Endocrinology & Metabolism details how the best intervention for preventing type 2 diabetes may vary between people with prediabetes.

A nomogram using ocular hemodynamics and clinical factors accurately predicts ischemic stroke risk, offering a novel tool for ...

By including information on suicidal thoughts and behaviors, clinicians can greatly improve predictive accuracy via machine learning.

Nomograms have a strong reputation as reliable predictive models that simplify statistical prediction models and guide ...

Early prediction of in-hospital pneumonia mortality can effectively be done using a machine learning (ML) model based on clinical data.