Columbia University M.P.S. in Insurance Management graduate Phil Offutt shares how AI is leveraged to find correlations and ...

For decades, whether someone could secure a loan often came down to a single number: their credit score. Today, that reality ...

Joseph Alderman et al argue that predictive models in healthcare lack adequate oversight and regulation. They highlight the ...

With increasingly complex market dynamics, traditional personalization alone is no longer sufficient. Enter predictive AI ...

The Consumer Technology Association (CTA) has released a new artificial intelligence standard that requires model developers ...

Rising rehospitalization rates among skilled nursing facility (SNF) residents are not just costly — averaging over $15,000 per readmission — they hinder clinicians’ ability to deliver efficient and ...

When researchers are building large language models (LLMs), they aim to maximize performance under a particular computational ...

The newly developed model has an area under the curve of 0.807 for predicting progression-free survival. A prediction model incorporating genomic and pathological data can be used to improve ...

A new federal report found that predictive AI is becoming mainstream in hospitals — but it also underscored gaps in how it is adopted, applied and overseen across different facilities. Here are five t ...

The NFL is using Recentive Analytics' predictive modeling tools to anticipate how viewership will evolve based on unexpected ...