Americans are wary of AI in health insurance, especially for claims. This article explores what people trust, what they don’t ...

ML-driven surveillance systems can flag early signals of disease outbreaks by detecting non-linear trends and hidden ...

Machine learning models can accurately predict which babies are at risk of being born with low birth weight, enabling earlier and more effective medical intervention.

One of the most common surgical complications is postoperative pain that persists long after the surgical incision has healed ...

Using machine learning models researchers have found in a new study that increased physical activity and reduced sedentary ...

The researchers report that their model achieved a 93% cross-validation score in binary classification, underscoring its ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

They’ve developed a simple machine learning model to be used before a new mother is ... State law also requires that the Department of Public Health collect annual data on screening for postpartum ...

Artificial intelligence models used to detect depression on social media are often biased and methodologically flawed, ...

A team of researchers at Rice University and Baylor College of Medicine recently developed a new strategy for identifying ...

At a confirmation hearing, President Donald Trump's pick for the director of Centers for Disease Control and Prevention, Dr.

Collaborative research between Texas A&M, Stanford and Tel Aviv universities could transform how we prevent disease spread ...