A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

Researchers at Pennsylvania State University examined whether machine learning could predict the risk and contributing ...

Ink authentication is often complicated by tampering, aging, and chemical variability. Now, forensic scientists are turning ...

A machine learning model developed to predict 5-year survival in stage III colorectal cancer patients highlights key ...

Artificial Intelligence (AI) is transforming credit risk modeling by offering methods and tools that serve as a complement - or even an alternative - to ...

For inpatients with cirrhosis, a machine learning (ML) model using random forest (RF) analysis is superior for prediction of inpatient mortality, according to a study published online July 23 in ...

This study examined whether machine learning could predict the risk and contributing factors of no-shows and late cancellations ...

Researchers evaluated the relative importance of phenotypic and genetic factors in predicting risk for head and neck cancer.

Combining AI with paper-based sensors, this research offers a new approach to seafood freshness assessment, ensuring quality ...

Why Everyone’s Jumping Into AI Right Now AI isn’t just some tech buzzword anymore , it’s everywhere. From your phone's voice ...

Predicting who might die while in the hospital is one of the hardest challenges for doctors caring for people with serious liver disease.

MLPerf Client v1.0 is the result of collaboration among major industry stakeholders, including AMD, Intel, Microsoft, NVIDIA, Qualcomm Technologies, and leading PC OEMs. The benchmark is available now ...