Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

Final random-forest-based models outperformed all publicly available risk scores on internal and external test sets.

Afforestation—establishing forests on previously non-forested land, or where forests have not existed for a long time—is one ...

At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...

Two complementary predictors (DAAE-M and ELIE) estimate individualized 5-year progression risk using routine clinical data, ...

Researchers developed and validated a new lung cancer prediction model, Sybil-Epi, by integrating clinical and epidemiologic data with a pre-existing model.

An artificial intelligence (AI) model developed by researchers at The University of Texas MD Anderson Cancer Center ...

A massive Swedish study shows that AI can spot people at higher risk of melanoma using routine health data. Advanced models ...

A first-of-its-kind study led by researchers at the Centre for Addiction and Mental Health (CAMH) has found that artificial intelligence (AI) models used to predict aggressive incidents in acute ...

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